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Publication search results
found 324 matches
- 2024
- Gaurav Tripathi, Vishal Krishna Singh, Varun Sharma, Majithia Vivek Vinodbhai:
Weighted Feature Selection for Machine Learning Based Accurate Intrusion Detection in Communication Networks. IEEE Access 12: 20973-20982 (2024) - Kunjulakshmi R, Ambuj Kumar, Keerthana Vinod Kumar, Avik Sengupta, Kavita Kundal, Simran Sharma, Ankita Pawar, Pithani Sai Krishna, Mohammad Alfatah, Sandipan Ray, Bhavana Tiwari, Rahul Kumar:
AagingBase: a comprehensive database of anti-aging peptides. Database J. Biol. Databases Curation 2024 (2024) - Vinod Kumar, Chander Prabha, Preeti Sharma, Nitin Mittal, Sameh S. Askar, Mohamed Abouhawwash:
Unified deep learning models for enhanced lung cancer prediction with ResNet-50-101 and EfficientNet-B3 using DICOM images. BMC Medical Imaging 24(1): 63 (2024) - Vishal Sharma, Rohit Beniwal, Vinod Kumar:
Towards secure IoT system from a smart city perspective: An optimized algorithm and implementation. Trans. Emerg. Telecommun. Technol. 35(4) (2024) - Kamal Kumar, Vinod Kumar, Seema, Mukesh Kumar Sharma, Akber Ali Khan, M. Javed Idrisi:
A Systematic Review of Blockchain Technology Assisted with Artificial Intelligence Technology for Networks and Communication Systems. J. Comput. Networks Commun. 2024: 9979371:1-9979371:15 (2024) - Vishal Sharma, Rohit Beniwal, Vinod Kumar:
Multi-level trust-based secure and optimal IoT-WSN routing for environmental monitoring applications. J. Supercomput. 80(8): 11338-11381 (2024) - Ramkumar Raghu, Mahadesh Panju, Vinod Sharma:
Queueing Theoretic Models for Multiuser MISO Content-Centric Networks With SDMA, NOMA, OMA and Rate-Splitting Downlink. IEEE Trans. Wirel. Commun. 23(5): 4753-4766 (2024) - Ekansh Chauhan, Amit Sharma, Megha S. Uppin, C. V. Jawahar, P. K. Vinod:
Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study. CoRR abs/2402.15832 (2024) - Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan:
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks. CoRR abs/2403.15077 (2024) - 2023
- Cédric Ware, Marceau Coupechoux, Ekram Hossain, Carmen Mas Machuca, Vinod Sharma, Anna Tzanakaki:
Introduction to the special issue: 5+G network energy consumption, energy efficiency and environmental impact. Ann. des Télécommunications 78(5-6): 249-251 (2023) - Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan:
Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey. Artif. Intell. Rev. 56(Supplement 3): 3003-3055 (2023) - Akshara Pande, Sumeet Patiyal, Anjali Lathwal, Chakit Arora, Dilraj Kaur, Anjali Dhall, Gaurav Mishra, Harpreet Kaur, Neelam Sharma, Shipra Jain, Salman Sadullah Usmani, Piyush Agrawal, Rajesh Kumar, Vinod Kumar, Gajendra P. S. Raghava:
Pfeature: A Tool for Computing Wide Range of Protein Features and Building Prediction Models. J. Comput. Biol. 30(2): 204-222 (2023) - Vinod Kumar, Dinesh Sharma:
Design of High Gain Metasurface Antenna Using Hybrid African Vulture's Optimization and Capuchin Search Algorithm for RF Energy Harvesting. Wirel. Pers. Commun. 132(1): 67-94 (2023) - M. Vinod Kumar, Dinesh Sharma:
Correction to: Design of High Gain Metasurface Antenna Using Hybrid African Vulture's Optimization and Capuchin Search Algorithm for RF Energy Harvesting. Wirel. Pers. Commun. 132(1): 95 (2023) - Prakhar Sharma, Vinod Yegneswaran:
PROSPER: Extracting Protocol Specifications Using Large Language Models. HotNets 2023: 41-47 - Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma:
MD3: The Multi-Dialect Dataset of Dialogues. INTERSPEECH 2023: 4059-4063 - Gaurav Thareja, Ashish Pal, Xingye Wang, Sefa Dag, Shi You, Shashank Sharma, Qing Zhu, Carmen L. Cervantes, Shinjae Hwang, Matthew Spuller, Ben Ng, Pradeep S. Kumar, Norman Tam, Max Gage, Sameer Deshpande, Zhiyuan Wu, Alexander Jansen, Liton Dey, Feng Chen, Xianjin Xie, Keyvan Kashefizadeh, Vinod Reddy, Andy Lo, Zhebo Chen, Sidney Huey, Jianshe Tang, He Ren, Mehul Naik, Brian Brown, Sree Kesapragada, Buvna Ayyagari-Sangamalli, El Mehdi Bazizi, Xianmin Tang:
BEOL Interconnect Innovation: Materials, Process and Systems Co-optimization for 3nm Node and Beyond. VLSI Technology and Circuits 2023: 1-2 - Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma:
MD3: The Multi-Dialect Dataset of Dialogues. CoRR abs/2305.11355 (2023) - 2022
- Vinodhini Mani, Mangesh M. Ghonge, Nosina Krishna Chaitanya, Om Pal, Moolchand Sharma, Senthilkumar Mohan, Ali Ahmadian:
A new blockchain and fog computing model for blood pressure medical sensor data storage. Comput. Electr. Eng. 102: 108202 (2022) - Sudhir Kumar Sharma, K. Vijayakumar, Vinod Jagannath Kadam, Sheldon Williamson:
Breast cancer prediction from microRNA profiling using random subspace ensemble of LDA classifiers via Bayesian optimization. Multim. Tools Appl. 81(29): 41785-41805 (2022) - Gaurav Sharma, Lava Bhargava, Vinod Kumar:
Hybrid learning scenario path selection and abstraction framework for smart verification of complex SoCs. J. Supercomput. 78(5): 6207-6233 (2022) - Vinod Kumar Verma, Anupam Sharma, Klimis S. Ntalianis, Kuldeep Verma:
Catenarian-Trim Medley Routing System for Energy Balancing in Dispensed Computing Networks. IEEE Trans. Netw. Sci. Eng. 9(6): 3922-3933 (2022) - Mahadesh Panju, Ramkumar Raghu, Vinod Sharma, Vaneet Aggarwal, Ramachandran Rajesh:
Queueing Theoretic Models for Uncoded and Coded Multicast Wireless Networks With Caches. IEEE Trans. Wirel. Commun. 21(2): 1257-1271 (2022) - Saurabh Sharma, Vinod Kumar Verma:
An Integrated Exploration on Internet of Things and Wireless Sensor Networks. Wirel. Pers. Commun. 124(3): 2735-2770 (2022) - Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri:
Gradient Based Activations for Accurate Bias-Free Learning. AAAI 2022: 7255-7262 - Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri:
Gradient Based Activations for Accurate Bias-Free Learning. CoRR abs/2202.10943 (2022) - Vinod Ganesan, Anwesh Bhattacharya, Pratyush Kumar, Divya Gupta, Rahul Sharma, Nishanth Chandran:
Efficient ML Models for Practical Secure Inference. CoRR abs/2209.00411 (2022) - 2021
- K. Vijayakumar, Vinod Jagannath Kadam, Sudhir Kumar Sharma:
Breast cancer diagnosis using multiple activation deep neural network. Concurr. Eng. Res. Appl. 29(3) (2021) - Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning. Entropy 23(12): 1555 (2021) - Gaurav Sharma, Lava Bhargava, Vinod Kumar:
Real-time automated register abstraction active power-aware electronic system level verification framework. Integr. 77: 151-166 (2021)
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