Rahul Anand - RankMe

11 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward Low-Resource Hydroacoustic Signature-Based Ship Detection With Out-of-Domain Detection Capability. IEEE Access Rahul Anand, H. Muralikrishna, Dileep Aroor Dinesh, Veena Thenkanidiyoor, M. Madhushankara, Prashanth Kannadaguli
2025	J	`jnl`	MODE: Mixture of Document Experts for RAG. CoRR Rahul Anand
2025	J	`jnl`	Novel ubiquitous configuration algorithm for power enhancement of PV array operating under partial shading conditions. Comput. Electr. Eng. Rahul Anand, Bhavnesh Kumar, Swaroop D, Arjun Tyagi
2024	J	`jnl`	Physics-Informed Neural Network for Concrete Manufacturing Process Optimization. CoRR Sam Varghese, Rahul Anand, Gaurav Paliwal
2023	J	`jnl`	YOLO and LSH-based video stream analytics landscape for short-term traffic density surveillance at road networks. Turkish J. Electr. Eng. Comput. Sci. Lavanya K, Stuti Tiwari, Rahul Anand, D. Jude Hemanth
2020	J	`jnl`	0.4 mW, 0.27 pJ/bit true random number generator using jitter, metastability and current starved topology. IET Circuits Devices Syst. Dhirendra Kumar, Rahul Anand, Sajai Vir Singh, Prasanna Kumar Misra, Ashok Srivastava, Manish Goswami
2020	J	`jnl`	Experimental system design for online characterization and performance analysis of PV module under distinguish environmental conditions. EAI Endorsed Trans. Energy Web Rahul Anand, Yogesh Kumar Chauhan, Vinod Yadav, Rupendra Pachauri
2020	J	`jnl`	Machine learning algorithms for failure prediction and yield improvement during electric resistance welded tube manufacturing. J. Exp. Theor. Artif. Intell. Vinay Sanjay Gujre, Rahul Anand
2019	J	`jnl`	Integrating and querying similar tables from PDF documents using deep learning. CoRR Rahul Anand, Hye-Young Paik, Cheng Wang
2016	—	`conf`	A Comparative Analysis of the Different Data Mining Tools by Using Supervised Learning Algorithms. SoCPaR Akarsh Goyal, Ishan Khandelwal, Rahul Anand, Anan Srivastava, P. Swarnalatha
2015	—	`conf`	"Where Far Can Be Close": Finding Distant Neighbors In Recommender Systems. LocalRec@RecSys Vikas Kumar, Daniel C. Jarratt, Rahul Anand, Joseph A. Konstan, Brent J. Hecht

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski