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Author search results
Exact matches
- Nikhil Singh 0001
University of Illinois at Urbana Champaign, Department of Electrical and Computer Engineering, IL, USA - Nikhil Singh 0002
University of North Carolina at Chapel Hill, NC, USA - Nikhil Singh 0003
Massachusetts Institute of Technology, MIT Media Lab, Boston, MA, USA - Nikhil Singh 0004
University of the South Pacific, School of Engineering and Physics, Fiji - Nikhil Singh 0005
TU Berlin, Germany - show all
Likely matches
- Nikhilesh Singh
- Nikhil Kumar Singh 0003
Maulana Azad National Institute of Technology, Bhopal, India
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Publication search results
found 241 matches
- 2024
- Vaibhav Soni, Nikhil Kumar Singh, Rishi Kumar Singh, Deepak Singh Tomar:
Multiencoder-based federated intelligent deep learning model for brain tumor segmentation. Int. J. Imaging Syst. Technol. 34(1) (2024) - Nikhil Sriwastav, Amit K. Barnwal, Higinio Ramos, Ravi P. Agarwal, Mehakpreet Singh:
Advanced numerical scheme and its convergence analysis for a class of two-point singular boundary value problems. Math. Comput. Simul. 216: 30-48 (2024) - Rajiv Kapoor, Manali Bhat, Nikhil Kumar Singh, Aarchishya Kapoor:
Recent advances in the discipline of text based affect recognition. Multim. Tools Appl. 83(16): 48859-48893 (2024) - Nikhil Kumar Singh, Deepak Singh Tomar, Mohammad Shabaz, Ismail Keshta, Mukesh Soni, Divya Rishi Sahu, Manisha S. Bhende, Amit Kumar Nandanwar, Gagan Vishwakarma:
Self-Attention Mechanism-Based Federated Learning Model for Cross Context Recommendation System. IEEE Trans. Consumer Electron. 70(1): 2687-2695 (2024) - Harshad Sonar, Shriya Ghosh, Rajesh Kr Singh, Vivek Khanzode, Milind Akarte, Nikhil Ghag:
Implementing Additive Manufacturing for Sustainability in Operations: Analysis of Enabling Factors. IEEE Trans. Engineering Management 71: 3205-3219 (2024) - Nikhil Kumar Singh, Indranil Saha:
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences. AAMAS 2024: 1754-1762 - Jennifer M. Cunha, Corinne C. Renguette, Nikhil Singh, Lily Stella, Megan McMahon, Hao Jin, Rébecca Kleinberger:
Ellie Talks About the Weather: Toward Evaluating the Expressive and Enrichment Potential of a Tablet-Based Speech Board in a Single Goffin's Cockatoo. CHI 2024: 627:1-627:16 - Nikhil Singh, Lucy Lu Wang, Jonathan Bragg:
FigurA11y: AI Assistance for Writing Scientific Alt Text. IUI 2024: 886-906 - Pallavi Borkar, Chen Chen, Mohamadreza Rostami, Nikhilesh Singh, Rahul Kande, Ahmad-Reza Sadeghi, Chester Rebeiro, Jeyavijayan Rajendran:
WhisperFuzz: White-Box Fuzzing for Detecting and Locating Timing Vulnerabilities in Processors. CoRR abs/2402.03704 (2024) - Nikhil Kumar Singh, Indranil Saha:
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences. CoRR abs/2402.05963 (2024) - 2023
- Yashveer Kumar, Nikhil Srivastava, Aman Singh, Vineet Kumar Singh:
Wavelets based computational algorithms for multidimensional distributed order fractional differential equations with nonlinear source term. Comput. Math. Appl. 132: 73-103 (2023) - Pinaki Roy Chowdhury, Angad Singh Wadhwa, Nikhil Tyagi:
Brain inspired face recognition: A computational framework. Cogn. Syst. Res. 78: 1-13 (2023) - Kamalika Bhattacharjee, Nitin More, Shobhit Kumar Singh, Nikhil Verma:
Cellular Automaton-Based Emulation of the Mersenne Twiste. Complex Syst. 32(2): 139-169 (2023) - Nikhil Kumar Singh, Rajiv Kapoor:
Multi-modal Expression Detection (MED): A cutting-edge review of current trends, challenges and solutions. Eng. Appl. Artif. Intell. 125: 106661 (2023) - Nikhil Easaw, Woo-Seok Lee, Prashant Singh Lohiya, Sarika Jalan, Priodyuti Pradhan:
Estimation of correlation matrices from limited time series data using machine learning. J. Comput. Sci. 71: 102053 (2023) - Nikhil Sriwastav, Amit K. Barnwal, Abdul-Majid Wazwaz, Mehakpreet Singh:
A novel numerical approach and stability analysis for a class of pantograph delay differential equation. J. Comput. Sci. 67: 101976 (2023) - Nikhil Srivastava, Vineet Kumar Singh:
L3 approximation of Caputo derivative and its application to time-fractional wave equation-(I). Math. Comput. Simul. 205: 532-557 (2023) - Rajiv Kapoor, Nikhil Kumar Singh, Aarchishya Kapoor:
Multi-sensor based object tracking using enhanced particle swarm optimized multi-cue granular fusion. Multim. Tools Appl. 82(27): 42417-42438 (2023) - Sheetal Singh, Nikhil Kumar Rajput, Vipin Kumar Rathi, Hari Mohan Pandey, Amit Kumar Jaiswal, Prayag Tiwari:
Securing Blockchain Transactions Using Quantum Teleportation and Quantum Digital Signature. Neural Process. Lett. 55(4): 3827-3842 (2023) - Anna Povzner, Prince Mahajan, Jason Gustafson, Jun Rao, Ismael Juma, Feng Min, Shriram Sridharan, Nikhil Bhatia, Gopi K. Attaluri, Adithya Chandra, Stanislav Kozlovski, Rajini Sivaram, Lucas Bradstreet, Bob Barrett, Dhruvil Shah, David Jacot, David Arthur, Manveer Chawla, Ron Dagostino, Colin Mccabe, Manikumar Reddy Obili, Kowshik Prakasam, Jose Garcia Sancio, Vikas Singh, Alok Nikhil, Kamal Gupta:
Kora: A Cloud-Native Event Streaming Platform for Kafka. Proc. VLDB Endow. 16(12): 3822-3834 (2023) - Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
pFedDef: Characterizing evasion attack transferability in federated learning. Softw. Impacts 15: 100469 (2023) - Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary:
A Review of Different Components of the Intelligent Traffic Management System (ITMS). Symmetry 15(3): 583 (2023) - Ashima Kukkar, Dinesh Gupta, Shehab Mohamed Beram, Mukesh Soni, Nikhil Kumar Singh, Ashutosh Sharma, Rahul Neware, Mohammad Shabaz, Ali Rizwan:
Optimizing Deep Learning Model Parameters Using Socially Implemented IoMT Systems for Diabetic Retinopathy Classification Problem. IEEE Trans. Comput. Soc. Syst. 10(4): 1654-1665 (2023) - Mukesh Soni, Nikhil Kumar Singh, Pranjit Das, Mohammad Shabaz, Piyush Kumar Shukla, Partha Sarkar, Shweta Singh, Ismail Keshta, Ali Rizwan:
IoT-Based Federated Learning Model for Hypertensive Retinopathy Lesions Classification. IEEE Trans. Comput. Soc. Syst. 10(4): 1722-1731 (2023) - Nikhilesh Singh, Karthikeyan Renganathan, Chester Rebeiro, Jithin Jose, Ralph Mader:
Kryptonite: Worst-Case Program Interference Estimation on Multi-Core Embedded Systems. ACM Trans. Embed. Comput. Syst. 22(5s): 149:1-149:23 (2023) - Swetaki Chatterjee, Nikhil Rangarajan, Satwik Patnaik, Dinesh Rajasekharan, Ozgur Sinanoglu, Yogesh Singh Chauhan:
FerroCoin: Ferroelectric Tunnel Junction-Based True Random Number Generator. IEEE Trans. Emerg. Top. Comput. 11(2): 541-547 (2023) - Dinesh Rajasekharan, Nikhil Rangarajan, Satwik Patnaik, Ozgur Sinanoglu, Yogesh Singh Chauhan:
SCANet: Securing the Weights With Superparamagnetic-MTJ Crossbar Array Networks. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5693-5707 (2023) - Nikhil Singh, Guillermo Bernal, Daria Savchenko, Elena L. Glassman:
Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence. ACM Trans. Comput. Hum. Interact. 30(5): 68:1-68:57 (2023) - Nikhil Kumar Singh, Indranil Saha:
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning. AAAI 2023: 15118-15126 - Iddo Drori, Sarah J. Zhang, Zad Chin, Reece Shuttleworth, Albert Lu, Linda Chen, Bereket Birbo, Michele He, Pedro Lantigua, Sunny Tran, Gregory Hunter, Bo Feng, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama:
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. AAAI 2023: 15921-15929
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