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Publication search results
found 58 matches
- 2024
- Anil Kumar, Dinesh Singh, Rama Shankar Yadav:
Entropy and improved k-nearest neighbor search based under-sampling (ENU) method to handle class overlap in imbalanced datasets. Concurr. Comput. Pract. Exp. 36(2) (2024) - Ankit Yadav, Dinesh Kumar Vishwakarma:
AW-MSA: Adaptively weighted multi-scale attentional features for DeepFake detection. Eng. Appl. Artif. Intell. 127(Part B): 107443 (2024) - Varun Gupta, Ankit Yadav, Dinesh Kumar Vishwakarma:
HumanPoseNet: An all-transformer architecture for pose estimation with efficient patch expansion and attentional feature refinement. Expert Syst. Appl. 244: 122894 (2024) - Ankit Yadav, Dinesh Kumar Vishwakarma:
Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review. Expert Syst. Appl. 249: 123756 (2024) - Gaurav Kumar Soni, Dinesh Yadav, Ashok Kumar:
Design consideration and recent developments in flexible, transparent and wearable antenna technology: A review. Trans. Emerg. Telecommun. Technol. 35(1) (2024) - Rishika Anand, S. R. N. Reddy, Dinesh Kumar Yadav:
A holistic approach to early congenital heart disease detection in rural neonates: bridging the gap in postnatal care. Int. J. Bio Inspired Comput. 24(1): 42-54 (2024) - Anil Kumar, Dinesh Singh, Rama Shankar Yadav:
Class overlap handling methods in imbalanced domain: A comprehensive survey. Multim. Tools Appl. 83(23): 63243-63290 (2024) - Ankit Yadav, Dinesh Kumar Vishwakarma:
Deep learning algorithms for person re-identification: sate-of-the-art and research challenges. Multim. Tools Appl. 83(8): 22005-22054 (2024) - Ankit Yadav, Dhruv Gupta, Dinesh Kumar Vishwakarma:
Uncovering visual attention-based multi-level tampering traces for face forgery detection. Signal Image Video Process. 18(2): 1259-1272 (2024) - Ankit Yadav, Dinesh Kumar Vishwakarma:
Toward effective image forensics via a novel computationally efficient framework and a new image splice dataset. Signal Image Video Process. 18(4): 3341-3352 (2024) - Ankit Yadav, Dinesh Kumar Vishwakarma:
A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler. CoRR abs/2401.06995 (2024) - Ankit Yadav, Dinesh Kumar Vishwakarma:
Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset. CoRR abs/2401.06998 (2024) - Ankit Yadav, Dinesh Kumar Vishwakarma:
Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review. CoRR abs/2401.06999 (2024) - Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - 2023
- Sharad Dinesh, Umesh Kumar Sahu, Dameshwari Sahu, Santanu Kumar Dash, Umesh Kumar Yadav:
Review on Sensors and Components Used in Robotic Surgery: Recent Advances and New Challenges. IEEE Access 11: 140722-140739 (2023) - Chandra Bhushan Kumar Yadav, Dinesh Dash:
An energy efficient periodic data gathering and charging schedule using MVs in wireless rechargeable sensor networks. Computing 105(11): 2563-2593 (2023) - Ankit Yadav, Dinesh Kumar Vishwakarma:
MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection. Expert Syst. Appl. 232: 120898 (2023) - Dinesh Singh, Ashish Kumar Maurya, Ranvijay, Rama Shankar Yadav:
CRLMDA: CRL minimisation and distribution algorithm in cluster-based VANETs. Int. J. Commun. Networks Distributed Syst. 29(3): 239-267 (2023) - Dinesh Singh, Ashish Kumar Maurya, Ranvijay, Rama Shankar Yadav:
A trust-based clustering approach to form stable clusters in vehicular ad hoc networks. J. Ambient Intell. Humaniz. Comput. 14(12): 16209-16228 (2023) - Dinesh Kumar Vishwakarma, Priyanka Meel, Ashima Yadav, Kuldeep Singh:
A framework of fake news detection on web platform using ConvNet. Soc. Netw. Anal. Min. 13(1): 24 (2023) - Ashima Yadav, Dinesh Kumar Vishwakarma:
A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 15:1-15:19 (2023) - Ashar Rizwan, Pradeep Kushwaha, Dinesh Kumar Yadav, Akhil Sakhyan, Devesh Kumar, Swati Vashisht:
Android Based Instant Messaging Application. IC3I 2023: 360-368 - Jagendra Singh, Dinesh Prasad Sahu, Shreyans Murkute, Ujjwal Yadav, Manish Agarwal, Pranay Kumar:
Deep Learning Based Bug Detection in Solidity Smart Contracts. RTIP2R (1) 2023: 101-109 - 2022
- Sumit Kumar Yadav, Dinesh K. Sharma, Madhulika Dube:
Modified exponential family for improved Searls estimation of finite population mean. Int. J. Comput. Sci. Math. 16(2): 149-158 (2022) - Sumit Kumar Yadav, Dinesh K. Sharma, Abhishek Yadav, Surendra Kumar:
Optimal Searls estimation of population variance under a systematic sampling scheme: a simulation study. Int. J. Comput. Sci. Math. 16(3): 239-251 (2022) - Dinesh K. Sharma, Subhash Kumar Yadav, Hari Sharma:
Improvement in estimation of population variance utilising known auxiliary parameters for a decision-making model. Int. J. Math. Model. Numer. Optimisation 12(1): 15-28 (2022) - Dinesh K. Sharma, Subhash Kumar Yadav:
Optimal generalised Searls estimation procedure of population mean under ranked set sampling scheme. Int. J. Math. Oper. Res. 21(3): 305-320 (2022) - Sumit Kumar Yadav, Dinesh K. Sharma, Madhulika Dube:
A simulation approach to modified Searls estimation of population mean under two-phase random sampling. Int. J. Math. Oper. Res. 22(2): 235-251 (2022) - Rupayan Das, Dinesh Dash, Chandra Bhushan Kumar Yadav:
An efficient charging scheme using battery constrained mobile charger in wireless rechargeable sensor networks. Telecommun. Syst. 81(3): 389-415 (2022) - Ashima Yadav, Dinesh Kumar Vishwakarma:
A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis. ACM Trans. Internet Techn. 22(1): 28:1-28:30 (2022)
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