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1. Visible detection of chilled beef freshness using a paper-based colourimetric sensor array combining with deep learning algorithms.

Author

Lin Y, Ma J, Cheng JH, and Sun DW

Subjects
Animals, Cattle, Algorithms, Gases, Amines, Colorimetry, Deep Learning
Abstract

This study developed an innovative approach that combines a colourimetric sensor array (CSA) composed of twelve pH-response dyes with advanced algorithms, aiming to detect amine gases and assess the freshness of chilled beef. With the assistance of multivariate statistical analysis, the sensor array can effectively distinguish five amine gases and enable rapid quantification of trimethylamine vapour with a limit of detection (LOD) of 8.02 ppb and visually monitor the fresh levels of chilled beef. Moreover, the utilization of deep learning models (ResNet34, VGG16, and GoogleNet) for chilled beef freshness evaluation achieved an overall accuracy of 98.0 %. Furthermore, t-distributed stochastic neighbour embedding (t-SNE) visualized the feature extraction process and provided explanations to understand the classification process of deep learning. The results demonstrated that applying deep learning techniques in the process of pattern recognition of CSA can help in realizing the rapid, robust, and accurate assessment of chilled beef freshness., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Published
2024
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2. Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire.

Author

Kita K, Fujimori T, Suzuki Y, Kaito T, Takenaka S, Kanie Y, Furuya M, Wataya T, Nishigaki D, Sato J, Tomiyama N, Okada S, and Kido S

Subjects
Humans, Quality of Life, Japan, Back Pain, Surveys and Questionnaires, Low Back Pain diagnosis, Low Back Pain therapy, Orthopedics, Deep Learning
Abstract

Background: Health-related patient-reported outcomes (HR-PROs) are crucial for assessing the quality of life among individuals experiencing low back pain. However, manual data entry from paper forms, while convenient for patients, imposes a considerable tallying burden on collectors. In this study, we developed a deep learning (DL) model capable of automatically reading these paper forms., Methods: We employed the Japanese Orthopaedic Association Back Pain Evaluation Questionnaire, a globally recognized assessment tool for low back pain. The questionnaire comprised 25 low back pain-related multiple-choice questions and three pain-related visual analog scales (VASs). We collected 1305 forms from an academic medical center as the training set, and 483 forms from a community medical center as the test set. The performance of our DL model for multiple-choice questions was evaluated using accuracy as a categorical classification task. The performance for VASs was evaluated using the correlation coefficient and absolute error as regression tasks., Result: In external validation, the mean accuracy of the categorical questions was 0.997. When outputs for categorical questions with low probability (threshold: 0.9996) were excluded, the accuracy reached 1.000 for the remaining 65 % of questions. Regarding the VASs, the average of the correlation coefficients was 0.989, with the mean absolute error being 0.25., Conclusion: Our DL model demonstrated remarkable accuracy and correlation coefficients when automatic reading paper-based HR-PROs during external validation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Published
2024
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7. Web-based diagnostic platform for microorganism-induced deterioration on paper-based cultural relics with iterative training from human feedback

Author

Chenshu Liu, Songbin Ben, Chongwen Liu, Xianchao Li, Qingxia Meng, Yilin Hao, Qian Jiao, and Pinyi Yang

Subjects
Paper-based cultural relics, Conservation, Computer vision, Deep learning, Strain classification, Web application, Fine Arts, Analytical chemistry, QD71-142
Abstract

Abstract Purpose Paper-based artifacts hold significant cultural and social values. However, paper is intrinsically fragile to microorganisms, such as mold, due to its cellulose composition, which can serve as a microorganisms’ nutrient source. Mold not only can damage papers’ structural integrity and pose significant challenges to conservation works but also may subject individuals attending the contaminated artifacts to health risks. Current approaches for strain identification usually require extensive training, prolonged time for analysis, expensive operation costs, and higher risks of secondary damage due to sampling. Thus, in current conservation practices with mold-contaminated artifacts, little pre-screening or strain identification was performed before mold removal, and the cleaning techniques are usually broad-spectrum rather than strain-specific. With deep learning showing promising applications across various domains, this study investigated the feasibility of using a convolutional neural network (CNN) for fast in-situ recognition and classification of mold on paper. Methods Molds were first non-invasively sampled from ancient Xuan Paper-based Chinese books from the Qing and Ming dynasties. Strains were identified using molecular biology methods and the four most prevalent strains were inoculated on Xuan paper to create mockups for image collection. Microscopic images of the molds as well as their stains situated on paper were collected using a compound microscope and commercial microscope lens for cell phone cameras, which were then used for training CNN models with a transfer learning scheme to perform the classification of mold. To enable involvement and contribution from the research community, a web interface that actuates the process while providing interactive features for users to learn about the information of the classified strain was constructed. Moreover, a feedback functionality in the web interface was embedded for catching potential classification errors, adding additional training images, or introducing new strains, all to refine the generalizability and robustness of the model. Results & Conclusion In the study, we have constructed a suite of high-confidence classification CNN models for the diagnostic process for mold contamination in conservation. At the same time, a web interface was constructed that allows recurrently refining the model with human feedback through engaging the research community. Overall, the proposed framework opens new avenues for effective and timely identification of mold, thus enabling proactive and targeted mold remediation strategies in conservation.

Published
2024
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10. FResFormer: Leukemia Detection Using Fusion-Enabled CNN and Attention

Author

Perumal, Murukessan, Goutham, E., Shivani Sri Varshini, U., Srinivas, M., Subramanyam, R. B. V., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kaur, Harkeerat, editor, Jakhetiya, Vinit, editor, Goyal, Puneet, editor, Khanna, Pritee, editor, Raman, Balasubramanian, editor, and Kumar, Sanjeev, editor

Published
2024
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14. Enhancing Avatar Emotion Detection Using Deep Learning with Modified VGG16 Architecture

Author

Dahy, Ghada, Ahmed, Eman, Darwish, Ashraf, Hassanien, Aboul Ella, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharyya, Siddhartha, editor, Das, Gautam, editor, De, Sourav, editor, and Mrsic, Leo, editor

Published
2024
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15. CyTIE: Cyber Threat Intelligence Extraction with Named Entity Recognition

Author

Aravind, P. C., Arikkat, Dincy R., Krishnan, Anupama S., Tesneem, Bahja, Sebastian, Aparna, Dev, Mridul J., Aswathy, K. R., Rehiman, K. A. Rafidha, Vinod, P., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Rajagopal, Sridaran, editor, Popat, Kalpesh, editor, Meva, Divyakant, editor, and Bajeja, Sunil, editor

Published
2024
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16. Parametric Comparison of Deep Learning Models for Musculoskeletal Abnormality Detection

Author

Raghunath, Niharika Gowri, Harikumar, Nandana, Sree, Paladi Navya, Sougandheeka, Kothuru Eesha, Vanamala, H. R., 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, Nagar, Atulya K., editor, Jat, Dharm Singh, editor, Mishra, Durgesh Kumar, editor, and Joshi, Amit, editor

Published
2024
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17. A Review of Relationship Extraction Based on Deep Learning

Author

Liao, Guolong, Tang, Xiangyan, Li, Tian, Zhong, Li, Zeng, Pengfan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Jin, Hai, editor, Pan, Yi, editor, and Lu, Jianfeng, editor

Published
2024
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18. Deep Learning Based SQL Injection Attack Detection

Author

Pan, Zhang, Huang, Qianli, Tian, Ziqing, Liu, Ying, Lou, Jiapeng, Gong, Yongguang, Wang, Zhiqiang, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Jin, Hai, editor, Pan, Yi, editor, and Lu, Jianfeng, editor

Published
2024
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20. Vision-Based Human Activity Recognition Using CNN and LSTM Architecture

Author

Gupta, Neha, Malik, Payal, Dubey, Arun Kumar, Jain, Achin, Yadav, Sarita, Verma, Devansh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Rodrigues, Joel J. P. C., editor, Gupta, Suneet Kumar, editor, Cheng, Xiaochun, editor, Sarao, Pushpender, editor, and Patel, Govind Singh, editor

Published
2024
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21. On the Classification of Cytological Images of Leukocytes Using Depthwise Separable Convolutional Neural Networks

Author

Shchetinin, E. Yu., Glushkova, A. G., Demidova, A. V., Sevastianov, L. A., Goos, Gerhard, Founding 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, Vishnevskiy, Vladimir M., editor, Samouylov, Konstantin E., editor, and Kozyrev, Dmitry V., editor

Published
2024
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23. Satellite Imagery Super Resolution Using Classical and Deep Learning Algorithms

Author

Kuchkorov, T. A., Djumanov, J. X., Ochilov, T. D., Sabitova, N. Q., Goos, Gerhard, Founding 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, Choi, Bong Jun, editor, Singh, Dhananjay, editor, Tiwary, Uma Shanker, editor, and Chung, Wan-Young, editor

Published
2024
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24. Spatial Attention Transformer Based Framework for Anomaly Classification in Image Sequences

Author

Garg, Aishvarya, Nigam, Swati, Singh, Rajiv, Shastri, Anshuman, Singh, Madhusudan, Goos, Gerhard, Founding 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, Choi, Bong Jun, editor, Singh, Dhananjay, editor, Tiwary, Uma Shanker, editor, and Chung, Wan-Young, editor

Published
2024
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25. CSR U-Net: A Novel Approach for Enhanced Skin Cancer Lesion Image Segmentation

Author

Chakkarapani, V., Poornapushpakala, S., 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, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish C., editor

Published
2024
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26. Implementation of Vision Transformers on SPECT Heart Dataset: A Comparative Study

Author

Verma, Poonam, Tripathi, Vikas, Pant, Bhaskar, 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, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish C., editor

Published
2024
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27. Evaluation of Selected Autoencoders in the Context of End-User Experience Management

Author

Beckmann, Sven, Bauer, Bernhard, Goos, Gerhard, Founding 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, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, La Malfa, Gabriele, editor, Pardalos, Panos M., editor, and Umeton, Renato, editor

Published
2024
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28. A Context-Encoders-Based Generative Adversarial Networks for Cine Magnetic Resonance Imaging Reconstruction

Author

Zhang, Weihua, Tang, Mengshi, Huang, Liqin, Li, Wei, Goos, Gerhard, Founding 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, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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29. Multi-scale Inter-frame Information Fusion Based Network for Cardiac MRI Reconstruction

Author

Ding, Wenzhe, Liu, Xiaohan, Sun, Yong, Liu, Yiming, Pang, Yanwei, Goos, Gerhard, Founding 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, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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30. Deep Learning Envisioned Accident Detection System

Author

Alam, Intekhab, Verma, Ayush, Khari, Manju, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, KC, editor, Makkar, Aaisha, editor, Conway, Myra, editor, Singh, Ashutosh K., editor, Vacavant, Antoine, editor, Abou el Kalam, Anas, editor, Bouguelia, Mohamed-Rafik, editor, and Hegadi, Ravindra, editor

Published
2024
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31. Big Data Techniques Utilization in Intelligent Transportation System Environment

Author

Sharma, Sumit, Aujla, Gagangeet Singh, Bali, Rasmeet Singh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Challa, Rama Krishna, editor, Aujla, Gagangeet Singh, editor, Mathew, Lini, editor, Kumar, Amod, editor, Kalra, Mala, editor, Shimi, S. L., editor, Saini, Garima, editor, and Sharma, Kanika, editor

Published
2024
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33. An Assessment of ChatGPT on Log Data

Author

Mudgal, Priyanka, Wouhaybi, Rita, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Zhao, Feng, editor, and Miao, Duoqian, editor

Published
2024
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36. A Robust and Explainable Deep Learning Method for Cervical Cancer Screening

Author

Di Giammarco, Marcello, Mercaldo, Francesco, Zhou, Xiaoli, Huang, Pan, Santone, Antonella, Cesarelli, Mario, Martinelli, Fabio, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mahmud, Mufti, editor, Ben-Abdallah, Hanene, editor, Kaiser, M. Shamim, editor, Ahmed, Muhammad Raisuddin, editor, and Zhong, Ning, editor

Published
2024
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40. Introduction to Advances in Information, Intelligence, Systems and Applications

Author

Tsihrintzis, George A., Virvou, Maria, Bourbakis, Nikolaos G., Jain, Lakhmi C., 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, Bourbakis, Nikolaos, editor, Tsihrintzis, George A., editor, Virvou, Maria, editor, and Jain, Lakhmi C., editor

Published
2024
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41. A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning

Author

Nieto, Sara, Mejia, Evelyn, Villacis, Ricardo, Calderon, Fernanda, Villegas, Hector, Paillacho, Jonathan, Realpe, Miguel, Cartwright, William, Series Editor, Gartner, Georg, Series Editor, Meng, Liqiu, Series Editor, Peterson, Michael P., Series Editor, Carlos-Martinez, Hugo, editor, Tapia-McClung, Rodrigo, editor, Moctezuma-Ochoa, Daniela Alejandra, editor, and Alegre-Mondragón, Ana Josselinne, editor

Published
2024
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42. Acne Recognition: Training Models with Experts

Author

Stefan, Nikolic, Ignatov, Dmitry I., Fedorov, Peter, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ignatov, Dmitry I., editor, Khachay, Michael, editor, Kutuzov, Andrey, editor, Madoyan, Habet, editor, Makarov, Ilya, editor, Nikishina, Irina, editor, Panchenko, Alexander, editor, Panov, Maxim, editor, M. Pardalos, Panos, editor, Savchenko, Andrey V., editor, Tsymbalov, Evgenii, editor, Tutubalina, Elena, editor, and Zagoruyko, Sergey, editor

Published
2024
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43. Standardising Wound Image Acquisition Through Edge AI

Author

Vasconcelos, Maria João M., Sampaio, Ana Filipa, Cardoso, Nuno, Liberal, Marcos, Alves, Paulo, Marques, Raquel, Salgado, Pedro, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Chen, Phoebe, Editorial Board Member, Cuzzocrea, Alfredo, Editorial Board Member, Du, Xiaoyong, Editorial Board Member, Kara, Orhun, Editorial Board Member, Liu, Ting, Editorial Board Member, Sivalingam, Krishna M., Editorial Board Member, Slezak, Dominik, Editorial Board Member, Washio, Takashi, Editorial Board Member, Yang, Xiaokang, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Ziefle, Martina, editor, Lozano, María Dolores, editor, and Mulvenna, Maurice, editor

Published
2024
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44. Real-Time Multi-objects Detection Using YOLOv7 for Advanced Driving Assistant Systems

Author

Solunke, Babruvan R., Gengaje, Sachin R., 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, Bhattacharya, Abhishek, editor, Dutta, Soumi, editor, Dutta, Paramartha, editor, and Samanta, Debabrata, editor

Published
2024
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49. MAAD-GAN: Memory-Augmented Attention-Based Discriminator GAN for Video Anomaly Detection

Author

Sethi, Anikeit, Saini, Krishanu, Singh, Rituraj, Tiwari, Aruna, Saurav, Sumeet, Singh, Sanjay, Chauhan, Vikas, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kaur, Harkeerat, editor, Jakhetiya, Vinit, editor, Goyal, Puneet, editor, Khanna, Pritee, editor, Raman, Balasubramanian, editor, and Kumar, Sanjeev, editor

Published
2024
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50. Polyphonic Sound Event Detection Using Modified Recurrent Temporal Pyramid Neural Network

Author

Venkatesh, Spoorthy, Koolagudi, Shashidhar G., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kaur, Harkeerat, editor, Jakhetiya, Vinit, editor, Goyal, Puneet, editor, Khanna, Pritee, editor, Raman, Balasubramanian, editor, and Kumar, Sanjeev, editor

Published
2024
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