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Publication search results
found 143 matches
- 2024
- G. S. Asha Rani, P. S. Lal Priya, Jino Jayan, Rahul Satheesh, Mohan Lal Kolhe:
Data-Driven Energy Management of an Electric Vehicle Charging Station Using Deep Reinforcement Learning. IEEE Access 12: 65956-65966 (2024) - E. P. Vishnutheerth, Vivek Vijay, Rahul Satheesh, Mohan Lal Kolhe:
A Comprehensive Approach to Wind Power Forecasting Using Advanced Hybrid Neural Networks. IEEE Access 12: 124790-124800 (2024) - S. Kavitha, K. Janani, S. S. Mohanrasu, J. Satheesh Kumar, T. Amudha, R. Rakkiyappan:
Ensemble feature selection using q-rung orthopair hesitant fuzzy Hamacher, Einstein and Dombi Aggregation operators. Appl. Soft Comput. 161: 111752 (2024) - J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi:
Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics. BMC Medical Imaging 24(1): 100 (2024) - S. Balasubramaniam, C. Vijesh Joe, Chinnadurai Manthiramoorthy, K. Satheesh Kumar:
ReliefF based feature selection and Gradient Squirrel search Algorithm enabled Deep Maxout Network for detection of heart disease. Biomed. Signal Process. Control. 87(Part A): 105446 (2024) - Saurabh Shukla, Shahid Hussain, Reyazur Rashid Irshad, Ahmed Abdu Alattab, Subhasis Thakur, John G. Breslin, Mohd Fadzil Hassan, Satheesh Abimannan, Mohd. Shahid Husain, Syed Muslim Jameel:
Network analysis in a peer-to-peer energy trading model using blockchain and machine learning. Comput. Stand. Interfaces 88: 103799 (2024) - M. Satheesh Kumar, P. Ganesh Kumar:
A public static agreement key based cryptography for secure data transmission in WSN based smart environment application. Expert Syst. Appl. 246: 123184 (2024) - Manikantan R. Nair, N. Bindu, Rajan Jose, K. Satheesh Kumar:
From assistive technology to the backbone: the impact of blockchain in manufacturing. Evol. Intell. 17(3): 1257-1278 (2024) - M. Karthick, S. Satheesh Kumar, D. Vivek, A. Viswanathan:
Ep-Satty-MCDM based business decision-making model using behaviour and review data. Intell. Data Anal. 28(2): 573-590 (2024) - S. Aarthi, T. Satheesh, Rathinasamy Sakthivel, Selvaraj Marshal Anthoni:
Disturbance estimation-based resilient control design for interval type-2 fuzzy stochastic systems under multiple disturbance observer. Int. J. Gen. Syst. 53(6): 678-706 (2024) - Narayanan Aravinth, R. Sakthivel, T. Satheesh, Oh-Min Kwon, S. Harshavarthini:
Reference management-based resilient control for delayed periodic piecewise polynomial systems under proportional integral observer. Int. J. Syst. Sci. 55(1): 147-163 (2024) - Seongjoon Kang, Marco Mezzavilla, Sundeep Rangan, Arjuna Madanayake, Satheesh Bojja Venkatakrishnan, Gregory Hellbourg, Monisha Ghosh, Hamed Rahmani, Aditya Dhananjay:
Cellular Wireless Networks in the Upper Mid-Band. IEEE Open J. Commun. Soc. 5: 2058-2075 (2024) - S. Satheesh Kumar, Manjula Sanjay Koti:
Adaptive error approximate data reconciliation technique for healthcare framework. Int. J. Syst. Assur. Eng. Manag. 15(1): 356-366 (2024) - Hirak Mazumdar, Chinmay Chakraborty, Satheesh Bojja Venkatakrishnan, Ajeet Kaushik, Hardik A. Gohel:
Quantum-Inspired Heuristic Algorithm for Secure Healthcare Prediction Using Blockchain Technology. IEEE J. Biomed. Health Informatics 28(6): 3371-3378 (2024) - Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang:
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. ICLR 2024 - Satheesh Kumar Simhachalam, Ahmed Hamdan, Madhu Addanki, Suraj Bhyri, Useni Dudekula:
Implementation of NavIC Ll Transmitter and Receiver. VTC Spring 2024: 1-7 - Jiayi Li, Sheetal Satheesh, Stefan Heindorf, Diego Moussallem, René Speck, Axel-Cyrille Ngonga Ngomo:
AutoCL: AutoML for Concept Learning. xAI (1) 2024: 117-136 - Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - Jupinder Parmar, Sanjeev Satheesh, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models. CoRR abs/2407.07263 (2024) - Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, Rituraj Joshi, Avraham Sheinin, Zhiming Chen, Biswajit Mishra, Natalia Vassilieva, Joel Hestness, Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Onkar Pandit, Satheesh Katipomu, Samta Kamboj, Samujjwal Ghosh, Rahul Pal, Parvez Mullah, Soundar Doraiswamy, Mohamed El Karim Chami, Preslav Nakov:
Bilingual Adaptation of Monolingual Foundation Models. CoRR abs/2407.12869 (2024) - Aswath Muthuselvam, S. Sowdeshwar, M. Saravanan, Satheesh K. Perepu:
Advanced Machine Learning Framework for Efficient Plant Disease Prediction. CoRR abs/2409.05174 (2024) - Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang:
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. CoRR abs/2410.02512 (2024) - Aakriti Agrawal, Mucong Ding, Zora Che, Chenghao Deng, Anirudh Satheesh, John Langford, Furong Huang:
EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM? CoRR abs/2410.04571 (2024) - 2023
- Satheesh Abimannan, El-Sayed M. El-Alfy, Yue-Shan Chang, Shahid Hussain, Saurabh Shukla, Dhivyadharsini Satheesh:
Ensemble Multifeatured Deep Learning Models and Applications: A Survey. IEEE Access 11: 107194-107217 (2023) - V. M. Akhil, Rahul Satheesh, M. Ashmi, Charbel Dalely Tawk:
Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions. IEEE Access 11: 129566-129575 (2023) - Parkavi Krishnamoorthy, N. Satheesh, D. Sudha, Sudhakar Sengan, Meshal Alharbi, Denis Alexandrovich Pustokhin, Irina Valeryevna Pustokhina, Roy Setiawan:
Effective Scheduling of Multi-Load Automated Guided Vehicle in Spinning Mill: A Case Study. IEEE Access 11: 9389-9402 (2023) - S. Monisha, T. Satheesh, Narayanan Aravinth, R. Sakthivel, Yong-Ki Ma:
Design of Disturbance Rejection-Based Quantized Resilient Control for Fuzzy Chaotic Systems. IEEE Access 11: 107605-107615 (2023) - Francisco Munguia-Galeano, Satheeshkumar Veeramani, Juan David Hernández, Qingmeng Wen, Ze Ji:
Affordance-Based Human-Robot Interaction With Reinforcement Learning. IEEE Access 11: 31282-31292 (2023) - Narayanan Aravinth, T. Satheesh, Ramalingam Sakthivel, G. Ran, Ardashir Mohammadzadeh:
Input-output finite-time stabilization of periodic piecewise systems with multiple disturbances. Appl. Math. Comput. 453: 128080 (2023) - Rathinasamy Sakthivel, Narayanan Aravinth, T. Satheesh, Oh-Min Kwon:
Input-output finite-time stabilisation for periodic piecewise polynomial systems with nonlinear actuator faults: an observer-based approach. Int. J. Syst. Sci. 54(16): 3027-3044 (2023)
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