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2,330 results on '"Singh, Ajeet"'

51. Identification of Bird Species Through Audio Signal Processing Using Neural Network

Author

Kumar, Singh Ajeet, Verma, Manish, Kumar, Vishal, Kumar, Golu, 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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83. A Soft Computing Based Approach for Pixel Labelling on 2D Images Using Fine Tuned R-CNN

Author

Arappal, Nedumaran, Singh, Ajeet, Saidulu, D., 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, Saini, H. S., editor, Sayal, Rishi, editor, Govardhan, A., editor, and Buyya, Rajkumar, editor

Published
2023
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84. An Investigation on the Detection of Intrusions into a Network Using Convolutional Neural Networks

Author

Patel, N. D., Singh, Ajeet, 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, Saini, H. S., editor, Sayal, Rishi, editor, Govardhan, A., editor, and Buyya, Rajkumar, editor

Published
2023
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85. Performance Enhancement of a Solar Still by Using Water-Based Hybrid Nanofluid

Author

Kumar, Amit, Akshayveer, Singh, Ajeet Pratap, Singh, Deepak Kumar, Singh, Om Prakash, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Bhattacharyya, Suvanjan, editor, and Benim, Ali Cemal, editor

Published
2023
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86. Securing Communication in IoT Environment Using Lightweight Key Generation-Assisted Homomorphic Authenticated Encryption

Author

Singh, Ajeet, Tiwari, Vikas, Tentu, Appala Naidu, Saxena, Ashutosh, 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, Satapathy, Suresh Chandra, editor, Lin, Jerry Chun-Wei, editor, Wee, Lai Khin, editor, Bhateja, Vikrant, editor, and Rajesh, T. M., editor

Published
2023
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93. IJCM_226A: Bridging the Gap: Model Immunization Centers in Urban Bihar - A Study on Factors Shaping Community Acceptance and Utilization for Improved Immunization Coverage

Author

Rauny Rahul, Sinha N.K., Dhalaria Pritu, Agrawal Ayushi, Verma Anupam, Singh Ajeet, and JSI Syed Hassan

Subjects
mic, urban, sdgs, trust, confidence, Public aspects of medicine, RA1-1270
Abstract

Background: Despite significant strides in immunization coverage, Full Immunization coverage in urban areas of India lags behind rural regions, with Urban India recording 75.5% compared to 76.8% in rural areas. Additionally, the prevalence of zero-dose children is higher in Urban India (7.5%) compared to rural counterparts (6.3%). Urbanization introduces a complex dynamic marked by poverty, migration, and growing disparities in health access, social services, and economic resources that necessitate innovative strategies to address immunization inequities in urban settings. In this direction, the Government of Bihar in 2017 introduced the concept of Model Immunization Centers (MICs) to provide high-quality immunization services to urban poor and marginalized to improve coverage and build trust, confidence and motivation for public immunization services. Objectives: The primary objective of the study was to assess and identify the factors that shape the community’s acceptance and utilization of immunization services at MICs in Patna and Siwan. Methodology: A mixed-methods approach was employed, combining quantitative data analysis of immunization records and demographic information with qualitative assessments of community perceptions through in-depth interviews and focus group discussions. The study site i.e., Patna and Siwan Districts of Bihar was purposively selected. Results: The study found that the effectiveness of MICs was significantly influenced by family, community, and social norms. Additionally, MICs played a pivotal role in enhancing people’s trust, confidence, and motivation through the provision of a favourable environment, hygiene maintenance, the availability of free vaccines, reduced waiting times, and courteous staff behaviour. These factors have collectively led to improved immunization coverage, increased footfall, and improved rates of full immunization. Conclusion: The success of MIC in gaining people’s trust and confidence has been a driving force behind the increase in footfall coverage at session sites and high Full Immunization Coverage in Patna and Siwan

Published
2024
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95. PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding

Author

Garg, Kanish, Singh, Ajeet kumar, Herremans, Dorien, and Lall, Brejesh

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Graphics, Computer Science - Machine Learning, 68Txx, 68-XX, I.4, I.5, I.3, I.2
Abstract

Generating an image from a provided descriptive text is quite a challenging task because of the difficulty in incorporating perceptual information (object shapes, colors, and their interactions) along with providing high relevancy related to the provided text. Current methods first generate an initial low-resolution image, which typically has irregular object shapes, colors, and interaction between objects. This initial image is then improved by conditioning on the text. However, these methods mainly address the problem of using text representation efficiently in the refinement of the initially generated image, while the success of this refinement process depends heavily on the quality of the initially generated image, as pointed out in the DM-GAN paper. Hence, we propose a method to provide good initialized images by incorporating perceptual understanding in the discriminator module. We improve the perceptual information at the first stage itself, which results in significant improvement in the final generated image. In this paper, we have applied our approach to the novel StackGAN architecture. We then show that the perceptual information included in the initial image is improved while modeling image distribution at multiple stages. Finally, we generated realistic multi-colored images conditioned by text. These images have good quality along with containing improved basic perceptual information. More importantly, the proposed method can be integrated into the pipeline of other state-of-the-art text-based-image-generation models to generate initial low-resolution images. We also worked on improving the refinement process in StackGAN by augmenting the third stage of the generator-discriminator pair in the StackGAN architecture. Our experimental analysis and comparison with the state-of-the-art on a large but sparse dataset MS COCO further validate the usefulness of our proposed approach., Comment: Proceedings of IEEE International Conference on Imaging, Vision & Pattern Recognition, (IVPR 2020, Japan)

Published
2020

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