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1. R2D2: Remembering, Reflecting and Dynamic Decision Making for Web Agents

Author

Huang, Tenghao, Basu, Kinjal, Abdelaziz, Ibrahim, Kapanipathi, Pavan, May, Jonathan, and Chen, Muhao

Subjects
Computer Science - Artificial Intelligence
Abstract

The proliferation of web agents necessitates advanced navigation and interaction strategies within complex web environments. Current models often struggle with efficient navigation and action execution due to limited visibility and understanding of web structures. Our proposed R2D2 framework addresses these challenges by integrating two paradigms: Remember and Reflect. The Remember paradigm utilizes a replay buffer that aids agents in reconstructing the web environment dynamically, thus enabling the formulation of a detailed ``map'' of previously visited pages. This helps in reducing navigational errors and optimizing the decision-making process during web interactions. Conversely, the Reflect paradigm allows agents to learn from past mistakes by providing a mechanism for error analysis and strategy refinement, enhancing overall task performance. We evaluate R2D2 using the WEBARENA benchmark, demonstrating significant improvements over existing methods, including a 50% reduction in navigation errors and a threefold increase in task completion rates. Our findings suggest that a combination of memory-enhanced navigation and reflective learning promisingly advances the capabilities of web agents, potentially benefiting various applications such as automated customer service and personal digital assistants.

Published
2025

2. Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition

Author

Watcharasupat, Karn N., Ding, Yiwei, Ma, T. Aleksandra, Seshadri, Pavan, and Lerch, Alexander

Subjects
Computer Science - Sound, Computer Science - Information Retrieval, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Any data annotation for subjective tasks shows potential variations between individuals. This is particularly true for annotations of emotional responses to musical stimuli. While older approaches to music emotion recognition systems frequently addressed this uncertainty problem through probabilistic modeling, modern systems based on neural networks tend to ignore the variability and focus only on predicting central tendencies of human subjective responses. In this work, we explore several methods for estimating not only the central tendencies of the subjective responses to a musical stimulus, but also for estimating the uncertainty associated with these responses. In particular, we investigate probabilistic loss functions and inference-time random sampling. Experimental results indicate that while the modeling of the central tendencies is achievable, modeling of the uncertainty in subjective responses proves significantly more challenging with currently available approaches even when empirical estimates of variations in the responses are available., Comment: To be presented as a Findings paper at the 2025 European Conference on Information Retrieval (ECIR)

Published
2025

3. Polyp detection in colonoscopy images using YOLOv11

Author

Sahoo, Alok Ranjan, Sahoo, Satya Sangram, and Chakraborty, Pavan

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers all over the world. It starts as a polyp in the inner lining of the colon. To prevent CRC, early polyp detection is required. Colonosopy is used for the inspection of the colon. Generally, the images taken by the camera placed at the tip of the endoscope are analyzed by the experts manually. Various traditional machine learning models have been used with the rise of machine learning. Recently, deep learning models have shown more effectiveness in polyp detection due to their superiority in generalizing and learning small features. These deep learning models for object detection can be segregated into two different types: single-stage and two-stage. Generally, two stage models have higher accuracy than single stage ones but the single stage models have low inference time. Hence, single stage models are easy to use for quick object detection. YOLO is one of the singlestage models used successfully for polyp detection. It has drawn the attention of researchers because of its lower inference time. The researchers have used Different versions of YOLO so far, and with each newer version, the accuracy of the model is increasing. This paper aims to see the effectiveness of the recently released YOLOv11 to detect polyp. We analyzed the performance for all five models of YOLOv11 (YOLO11n, YOLO11s, YOLO11m, YOLO11l, YOLO11x) with Kvasir dataset for the training and testing. Two different versions of the dataset were used. The first consisted of the original dataset, and the other was created using augmentation techniques. The performance of all the models with these two versions of the dataset have been analysed.

Published
2025

4. Role of injection parameters in jet propagation through realistic binary neutron star merger environments

Author

Pavan, Andrea, Ciolfi, Riccardo, Dreas, Emma, and Kalinani, Jay V.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Solar and Stellar Astrophysics, General Relativity and Quantum Cosmology
Abstract

After the first multi-messenger observation of a binary neutron star (BNS) merger powering a short-duration gamma-ray burst (GRB), GW170817-GRB 170817A, remarkable effort is ongoing to unravel the evolution of the collimated, relativistic outflow (or jet) that was launched during the merger and fed the GRB event, imprinting its angular structure onto the follow-up afterglow signal. Current theoretical models, based on relativistic magneto-hydrodynamic (RMHD) simulations, offer detailed insights into the launch and propagation processes that govern jet evolution. Notably, these simulations point out that jet injection parameters, such as luminosity, magnetization, power decay time scale, and launch time relative to merger, play a crucial role. However, the impact of these parameters is typically investigated within simplified jet propagation environments, lacking a direct connection with a realistic BNS merger aftermath. In this work, we present the first suite of 3D RMHD simulations exploring the influence of such parameters on the propagation of magnetized incipient GRB jets injected into magnetized environments directly imported from the outcome of a general-relativistic MHD BNS merger simulation. Our results demonstrate that, alongside the injection parameters, the BNS merger environment has a central role in shaping the overall jet evolution. Specifically, under identical jet parameters, the fate of an incipient jet (whether it successfully breaks out or becomes choked) depends strongly on the properties of such environment. Further quantitative comparison between realistic and simplified environments reveals major differences, emphasizing the importance of incorporating the former for accurate modeling., Comment: 20 pages, 12 figures

Published
2025

5. A Framework for Dynamic Situational Awareness in Human Robot Teams: An Interview Study

Author

Senaratne, Hashini, Tian, Leimin, Sikka, Pavan, Williams, Jason, Howard, David, Kulić, Dana, and Paris, Cécile

Subjects
Computer Science - Robotics, Computer Science - Human-Computer Interaction
Abstract

In human-robot teams, human situational awareness is the operator's conscious knowledge of the team's states, actions, plans and their environment. Appropriate human situational awareness is critical to successful human-robot collaboration. In human-robot teaming, it is often assumed that the best and required level of situational awareness is knowing everything at all times. This view is problematic, because what a human needs to know for optimal team performance varies given the dynamic environmental conditions, task context and roles and capabilities of team members. We explore this topic by interviewing 16 participants with active and repeated experience in diverse human-robot teaming applications. Based on analysis of these interviews, we derive a framework explaining the dynamic nature of required situational awareness in human-robot teaming. In addition, we identify a range of factors affecting the dynamic nature of required and actual levels of situational awareness (i.e., dynamic situational awareness), types of situational awareness inefficiencies resulting from gaps between actual and required situational awareness, and their main consequences. We also reveal various strategies, initiated by humans and robots, that assist in maintaining the required situational awareness. Our findings inform the implementation of accurate estimates of dynamic situational awareness and the design of user-adaptive human-robot interfaces. Therefore, this work contributes to the future design of more collaborative and effective human-robot teams.

Published
2025

6. Approaching ballistic motion in 3D simulations of gamma-ray burst jets in realistic binary neutron star merger environments

Author

Dreas, Emma, Pavan, Andrea, Ciolfi, Riccardo, and Celotti, Annalisa

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Solar and Stellar Astrophysics, General Relativity and Quantum Cosmology
Abstract

Context. The concomitant observation of gravitational wave and electromagnetic signals from a binary neutron star (BNS) merger in 2017 confirmed that these events can produce relativistic jets responsible for short Gamma-Ray Bursts (sGRBs). The complex interaction between the jet and the surrounding post-merger environment shapes the angular structure of the outflow, which is then imprinted in the prompt and afterglow sGRB emission. Aims. The outcome of relativistic (magneto)hydrodynamic simulations of jets piercing through post-merger environments is often used as input to compute afterglow signals to be compared with observations. However, for reliable comparisons, the jet propagation should be followed until nearly ballistic regimes, in which the jet acceleration is essentially over and the angular structure is no longer evolving. This condition is typically reached in 2D simulations, but not in 3D. Our goal is to extend a (specific) jet simulation in 3D up to a nearly ballistic phase, analysing the overall dynamical evolution from the jet breakout. Methods. Our work is based on a previous 3D magnetohydrodynamic jet simulation employing a realistic environment imported from a BNS merger simulation, extended here far beyond the evolution time originally covered. After approximately 3 seconds of the jet evolution on the original spherical grid, we remap the system into a uniform Cartesian grid and reach about 10 seconds without loss of resolution. Results. The specific jet considered here struggles to pierce the dense surroundings, resulting in a rather asymmetrical emerging outflow with relatively low Lorentz factor. The analysis of the energy conversion processes and corresponding acceleration shows that at the end of our simulation 98% of the energy is in kinetic form. Moreover, at that time the angular structure is frozen. We thus obtain suitable inputs for computing the afterglow emission. Our procedure is general and applicable to any jet simulation of the same kind., Comment: 13 pages, 15 figures, matching accepted version on A&A

Published
2025

7. Several Families of Entanglement-Assisted Quantum Quasi-Cyclic LDPC Codes

Author

Kumar, Pavan, Sharma, Abhi Kumar, and Garani, Shayan Srinivasa

Subjects
Computer Science - Information Theory
Abstract

We introduce several families of entanglement-assisted (EA) Calderbank-Shor-Steane (CSS) codes derived from two distinct classes of low-density parity-check (LDPC) codes. We derive two families of EA quantum QC-LDPC codes, namely, the spatially coupled (SC) and the non-spatially coupled cases. These two families are constructed by tiling permutation matrices of prime and composite orders. We establish several code properties along with conditions for guaranteed girth for the proposed code families. The Tanner graphs of the proposed EA quantum QC-LDPC and EA quantum QC-SC-LDPC codes have girths greater than four, which is required for good error correction performance. Some of the proposed families of codes require only \textit{minimal} Bell pairs to be shared across the quantum transceiver. Furthermore, we construct two families of EA quantum QC-LDPC codes based on a single classical code, with Tanner graphs having girths greater than six, further improving the error correction performance. We evaluate the performance of these codes using both depolarizing and Markovian noise models to assess the random and burst error performance. Using a modified version of the sum-product algorithm over a quaternary alphabet, we show how correlated Pauli errors can be handled within the decoding setup. Simulation results show that nearly an order of improvement in the error correction performance can be achieved with quaternary decoder compared to binary decoder over the depolarizing and Markovian error channels, thereby generalizing the approach of EA quantum QC-LDPC code designs to work with both random and burst quantum error models, useful in practice., Comment: 57 pages, 9 figures. A portion of this work has already been published in 2024 Information Theory Workshop, Shenzhen, China,(https://doi.org/10.1109/ITW61385.2024.10806978)

Published
2025

8. On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages

Author

Shirke, Mayur, Shembade, Amey, Wagh, Madhushri, Thorat, Pavan, and Joshi, Raviraj

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

This study explores the effectiveness of layer pruning for developing more efficient BERT models tailored to specific downstream tasks in low-resource languages. Our primary objective is to evaluate whether pruned BERT models can maintain high performance while reducing model size and complexity. We experiment with several BERT variants, including MahaBERT-v2 and Google-Muril, applying different pruning strategies and comparing their performance to smaller, scratch-trained models like MahaBERT-Small and MahaBERT-Smaller. We fine-tune these models on Marathi datasets, specifically Short Headlines Classification (SHC), Long Paragraph Classification (LPC) and Long Document Classification (LDC), to assess their classification accuracy. Our findings demonstrate that pruned models, despite having fewer layers, achieve comparable performance to their fully-layered counterparts while consistently outperforming scratch-trained models of similar size. Notably, pruning layers from the middle of the model proves to be the most effective strategy, offering performance competitive with pruning from the top and bottom. However, there is no clear winner, as different pruning strategies perform better in different model and dataset combinations. Additionally, monolingual BERT models outperform multilingual ones in these experiments. This approach, which reduces computational demands, provides a faster and more efficient alternative to training smaller models from scratch, making advanced NLP models more accessible for low-resource languages without compromising classification accuracy., Comment: Accepted at FIRE 2024: 16th meeting of the Forum for Information Retrieval Evaluation

Published
2025

9. Abdominopelvic imaging in the follow-up of testicular germ-cell tumors in adults: recommendations of the Scrotal and Penile Imaging Working Group of the European Society of Urogenital Radiology

Author

De Visschere, Pieter, Bertolotto, Michele, Belfield, Jane, Campo, Irene, Corcioni, Beniamino, Derchi, Lorenzo, Dogra, Vikram, Gaudiano, Caterina, Huang, Dean Y., Kozak, Oliwia, Lotti, Francesco, Markiet, Karolina, Nikolic, Olivera, Pavan, Nicola, Pasoglou, Vassiliki, Ramanathan, Subramaniyan, Richenberg, Jonathan, Rocher, Laurence, Sachs, Camilla, Sidhu, Paul S., Skrobisz, Katarzyna, Studniarek, Michal, Tsili, Athina, and Secil, Mustafa

Published
2025
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20. Harvesting Growth: Leveraging Random Forests for Advancing Agricultural Productivity with Machine Learning

Author

Kumar, G. A. K. S. Rajeev, Vadrevu, Pavan Kumar, Kolli, Chandra Sekhar, Goda, Ramesh Naidu, Ravi Kumar, B., Pisello, Anna Laura, Editorial Board Member, Bibri, Simon Elias, Editorial Board Member, Ahmed Salih, Gasim Hayder, Editorial Board Member, Battisti, Alessandra, Editorial Board Member, Piselli, Cristina, Editorial Board Member, Strauss, Eric J., Editorial Board Member, Matamanda, Abraham, Editorial Board Member, Gallo, Paola, Editorial Board Member, Marçal Dias Castanho, Rui Alexandre, Editorial Board Member, Chica Olmo, Jorge, Editorial Board Member, Bruno, Silvana, Editorial Board Member, He, Baojie, Editorial Board Member, Niglio, Olimpia, Editorial Board Member, Pivac, Tatjana, Editorial Board Member, Olanrewaju, AbdulLateef, Editorial Board Member, Pigliautile, Ilaria, Editorial Board Member, Karunathilake, Hirushie, Editorial Board Member, Fabiani, Claudia, Editorial Board Member, Vujičić, Miroslav, Editorial Board Member, Stankov, Uglješa, Editorial Board Member, Sánchez, Angeles, Editorial Board Member, Jupesta, Joni, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Shtylla, Saimir, Editorial Board Member, Alberti, Francesco, Editorial Board Member, Buckley, Ayşe Özcan, Editorial Board Member, Mandic, Ante, Editorial Board Member, Ahmed Ibrahim, Sherif, Editorial Board Member, Teba, Tarek, Editorial Board Member, Al-Kassimi, Khaled, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Trapani, Ferdinando, Editorial Board Member, Magnaye, Dina Cartagena, Editorial Board Member, Chehimi, Mohamed Mehdi, Editorial Board Member, van Hullebusch, Eric, Editorial Board Member, Chaminé, Helder, Editorial Board Member, Della Spina, Lucia, Editorial Board Member, Aelenei, Laura, Editorial Board Member, Parra-López, Eduardo, Editorial Board Member, Ašonja, Aleksandar N., Editorial Board Member, Amer, Mourad, Series Editor, Rama Sree, Sripada, editor, and Kumar, Sachin, editor

Published
2025
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21. Investigation on Wear Behaviour of Nano B4C Reinforced Composite with Zn Alloy Matrix

Author

Janamatti, Santosh, Nagaraj, Banakara, Keerthi Kumar, N., Pavan Kumar, B. K., Vijaykumar, B. P., Hunasikatti, Mallappa, Pisello, Anna Laura, Editorial Board Member, Bibri, Simon Elias, Editorial Board Member, Ahmed Salih, Gasim Hayder, Editorial Board Member, Battisti, Alessandra, Editorial Board Member, Piselli, Cristina, Editorial Board Member, Strauss, Eric J., Editorial Board Member, Matamanda, Abraham, Editorial Board Member, Gallo, Paola, Editorial Board Member, Marçal Dias Castanho, Rui Alexandre, Editorial Board Member, Chica Olmo, Jorge, Editorial Board Member, Bruno, Silvana, Editorial Board Member, He, Baojie, Editorial Board Member, Niglio, Olimpia, Editorial Board Member, Pivac, Tatjana, Editorial Board Member, Olanrewaju, AbdulLateef, Editorial Board Member, Pigliautile, Ilaria, Editorial Board Member, Karunathilake, Hirushie, Editorial Board Member, Fabiani, Claudia, Editorial Board Member, Vujičić, Miroslav, Editorial Board Member, Stankov, Uglješa, Editorial Board Member, Sánchez, Angeles, Editorial Board Member, Jupesta, Joni, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Shtylla, Saimir, Editorial Board Member, Alberti, Francesco, Editorial Board Member, Buckley, Ayşe Özcan, Editorial Board Member, Mandic, Ante, Editorial Board Member, Ahmed Ibrahim, Sherif, Editorial Board Member, Teba, Tarek, Editorial Board Member, Al-Kassimi, Khaled, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Trapani, Ferdinando, Editorial Board Member, Magnaye, Dina Cartagena, Editorial Board Member, Chehimi, Mohamed Mehdi, Editorial Board Member, van Hullebusch, Eric, Editorial Board Member, Chaminé, Helder, Editorial Board Member, Della Spina, Lucia, Editorial Board Member, Aelenei, Laura, Editorial Board Member, Parra-López, Eduardo, Editorial Board Member, Ašonja, Aleksandar N., Editorial Board Member, Amer, Mourad, Series Editor, K N, Subramanya, editor, Wee, Hui-Ming, editor, and Oliveira, Mario Orlando, editor

Published
2025
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23. Flow-Induced Vibrations of an Inclined Elliptic Cylinder

Author

Yadav, Pavan Kumar, Sarkar, Himalaya, Sen, Subhankar, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sahoo, Prasanta, editor, and Barman, Tapan Kumar, editor

Published
2025
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25. Physical Modelling of Charge Trapping Effects

Author

Buffolo, Matteo, De Santi, Carlo, Meneghesso, Gaudenzio, Meneghini, Matteo, Zanoni, Enrico, Zagni, Nicolò, Cioni, Marcello, Chini, Alessandro, Puglisi, Francesco Maria, Pavan, Paolo, Verzellesi, Giovanni, Kaushik, Brajesh Kumar, Series Editor, Kolhe, Mohan Lal, Series Editor, Nirmal, D., editor, and Ajayan, J., editor

Published
2025
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26. Accessible Cybersecurity Education Using Prompt Tree

Author

Subhash Chandrabose Nara, Pavan, Mitra, Reshmi, Roy, Indranil, Robin Cole III, T., Li, Gang, Series Editor, Filipe, Joaquim, Series Editor, Ghosh, Ashish, Series Editor, Xu, Zhiwei, Series Editor, Hu, Gongzhu, editor, Kambhampaty, Krishna K, editor, and Roy, Indranil, editor

Published
2025
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27. Acoustic Metamaterials for Noise Control Applications

Author

Singh, Sneha, Pavan, Golakoti, Chalurkar, Chetan, Yadav, Sanjay, Section editor, Agarwal, Ravinder, Section editor, Rab, Shanay, Section editor, Garg, Naveen, editor, Gautam, Chitra, editor, Rab, Shanay, editor, Wan, Meher, editor, Agarwal, Ravinder, editor, and Yadav, Sanjay, editor

Published
2025
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28. An Analogy of Machine Learning Algorithms for Diabetes Call

Author

Kotla, N. V. Ramya Devi, Siddamsetti, Rajeswari, Nalla, Sri Adarsh Raja, Kodavalluri, Kanakacharyulu, Pinninti, Sai Pavan, Mohammad, Ashfaq Khan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Bhateja, Vikrant, editor, Chakravarthy, V. V. S. S. S, editor, Anguera, Jaume, editor, Ghosh, Anumoy, editor, and Flores Fuentes, Wendy, editor

Published
2025
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29. Computer Vision and AI Tools for Enhancing User Experience in the Cultural Heritage Domain

Author

Rachabathuni, Pavan K., Mazzanti, Paolo, Principi, Filippo, Ferracani, Andrea, Bertini, Marco, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zaphiris, Panayiotis, editor, Ioannou, Andri, editor, Sottilare, Robert A., editor, Schwarz, Jessica, editor, and Rauterberg, Matthias, editor

Published
2025
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30. Crop Area Estimation Using Sentinel-2 and GEE

Author

Sri Lakshmi Sesha Vani, J., Akhil, Shivarathri, Pavan, Pathlavath, Seenu, P. Z., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Pandey, Manish, editor, Jayakumar, K. V., editor, Pal, Manali, editor, and Singh, Vijay P., editor

Published
2025
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31. Crop Phenology Mapping and Crop Yield Prediction Using Satellite Images

Author

Kumar, Sunil, Mesapam, Shashi, Pavan Kumar Reddy, Allu, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Pandey, Manish, editor, Jayakumar, K. V., editor, Pal, Manali, editor, and Singh, Vijay P., editor

Published
2025
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32. Learning Geometry of Pose Image Manifolds in Latent Spaces Using Geometry-Preserving GANs

Author

Liang, Shenyuan, Beaudett, Benjamin, Turaga, Pavan, Anand, Saket, Srivastava, Anuj, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antonacopoulos, Apostolos, editor, Chaudhuri, Subhasis, editor, Chellappa, Rama, editor, Liu, Cheng-Lin, editor, Bhattacharya, Saumik, editor, and Pal, Umapada, editor

Published
2025
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33. A Single-Image Dehazing Approach Using Brightness Enhancement and Double Transmission Maps

Author

Kumar, Balla Pavan, Kumar, Arvind, Pandey, Rajoo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rawat, Sanyog, editor, Kumar, Arvind, editor, Raman, Ashish, editor, Kumar, Sandeep, editor, and Pathak, Parul, editor

Published
2025
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34. ETM Data-Based OD Matrices for Public Transit Planning

Author

Muvvala, Sheethal Pavan Puthra, Anjaneyulu, M. V. L. R., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Veeraragavan, A., editor, Mathew, Samson, editor, Ramakrishnan, Priya, editor, and Madhavan, Harikrishna, editor

Published
2025
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35. Micromechanical Analysis of Carbon/Carbon Composites with Pore Characterization

Author

Vishnu, O. S., Paul, Jhon, Pavan, G. S., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sidhardh, Sai, editor, Prakash, S. Suriya, editor, Annabattula, Ratna Kumar, editor, and Mylavarapu, Phani, editor

Published
2025
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36. Ground Supports for Temporary Roadways in Highly Weathered Rock Mass

Author

Pobbu, P. K., Pavan, S., Madavi, R. P., Porathur, J. L., Jagapthal, V. K., Bezaeva, Natalia S., Series Editor, Gomes Coe, Heloisa Helena, Series Editor, Nawaz, Muhammad Farrakh, Series Editor, Gorai, Amit Kumar, editor, Ram, Sahendra, editor, Bishwal, Ram Manohar, editor, and Bhowmik, Santanu, editor

Published
2025
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37. The Future of AI in Predicting Cybersecurity Threats

Author

Pavan Kumar, P., Satish, Mankala, Sunitha Devi, B., Prakash, A., Pradeep Reddy, Kumbala, Malli Babu, S., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
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38. Optimizing QoS in Network Traffic Management Using Fuzzy Logic

Author

Devi, B. Sunitha, Satish, Mankala, Kumar, P. Pavan, MalliBabu, S., Reddy, Kumbala Pradeep, Prakash, A., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
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39. Investigation on Material Selection and Optimization for Enhanced Performance in Earth Tube Heat Exchangers

Author

Mamidi, Vamsi Krishna, Kamineni, Jagath Narayana, Kishore, M. L. Pavan, Achari, T. V. Niteshkumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Lin, Frank, editor, Pastor, David, editor, Kesswani, Nishtha, editor, Patel, Ashok, editor, Bordoloi, Sushanta, editor, and Koley, Chaitali, editor

Published
2025
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40. Unraveling Twitter Hate Speech: A Comparative Analysis Using LDA and QDA Techniques

Author

Udayan, J. Divya, Addanki, Veerababu, Moneesh, Nagireddy, Pavan, Gandham Sai Ram, Srinivas, Challamalla Satya, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
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41. Mitigating Credit Card Fraud Through Behavior-Based Classification and Anomaly Elimination Using Support Vector Machine

Author

Manohari, Katta Gouthami, Sravya, Samana, Nandini, Vorus, Joy, Konkini Vinnie, Kumar, Chanda Raj, Pagadala, Pavan Kumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
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42. Exploring the Potential of GANs, LSTM, and VAEs in Advancing Music Generation

Author

Sai Ram Pavan, G., Kucharlapati, Akash Varma, Moneesh, N., Abhishek, S., Anjali, T., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
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43. Machine Learning Approaches for Forecasting Individual Mental Wellbeing: A Comprehensive Study on Depression, Anxiety, Stress, and Loneliness

Author

Sri Vidya, Kurupati, Sindhura, Meenavalli, Poojitha, Kyasani, Sruthi Vennela, Kakumanu, Raj Kumar, Chanda, Pagadala, Pavan Kumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
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44. Development of a Composite Index for Assessing Metro Interchanges Based on User Perception

Author

Das, Ankita, Ram, Sewa, Machavarapu, Pavan Kumar, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Ravi Shankar, K. V. R., editor, Prasad, C. S. R. K., editor, Mallikarjuna, C., editor, and Suresha, S. N., editor

Published
2025
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45. Artificial Neural Networks for Traffic Speed Management: A Comparative Study of ANPR and TIRTL Systems for Identifying Over-Speeding Vehicles

Author

Kumar, Boddu Sudhir, Kumar, Kontham Pavan, Sekhar, Ratti Chandra, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Ravi Shankar, K. V. R., editor, Prasad, C. S. R. K., editor, Mallikarjuna, C., editor, and Suresha, S. N., editor

Published
2025
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