"Where Far Can Be Close": Finding Distant Neighbors In Recommender Systems. - Vikas Kumar; Daniel C. Jarratt; Rahul Anand; Joseph A. Konstan; Brent J. Hecht (LocalRec@RecSys, 2015)

A Comparative Analysis of the Different Data Mining Tools by Using Supervised Learning Algorithms. - Akarsh Goyal; Ishan Khandelwal; Rahul Anand; Anan Srivastava; P. Swarnalatha (SoCPaR, 2016)

Integrating and querying similar tables from PDF documents using deep learning. - Rahul Anand; Hye-Young Paik; Cheng Wang (CoRR, 2019)

Experimental system design for online characterization and performance analysis of PV module under distinguish environmental conditions. - Rahul Anand; Yogesh Kumar Chauhan; Vinod Yadav; Rupendra Pachauri (EAI Endorsed Trans. Energy Web, 2020)

0.4 mW, 0.27 pJ/bit true random number generator using jitter, metastability and current starved topology. - Dhirendra Kumar; Rahul Anand; Sajai Vir Singh; Prasanna Kumar Misra; Ashok Srivastava; Manish Goswami (IET Circuits Devices Syst., 2020)

Machine learning algorithms for failure prediction and yield improvement during electric resistance welded tube manufacturing. - Vinay Sanjay Gujre; Rahul Anand (J. Exp. Theor. Artif. Intell., 2020)

YOLO and LSH-based video stream analytics landscape for short-term traffic density surveillance at road networks. - Lavanya K; Stuti Tiwari; Rahul Anand; D. Jude Hemanth (Turkish J. Electr. Eng. Comput. Sci., 2023)

Physics-Informed Neural Network for Concrete Manufacturing Process Optimization. - Sam Varghese; Rahul Anand; Gaurav Paliwal (CoRR, 2024)

Novel ubiquitous configuration algorithm for power enhancement of PV array operating under partial shading conditions. - Rahul Anand; Bhavnesh Kumar; Swaroop D; Arjun Tyagi (Comput. Electr. Eng., 2025)