Numerical simulation of singularly perturbed non-linear elliptic boundary value problems using finite element method. - Manoj Kumar; Akanksha Srivastava; Akhilesh Kumar Singh (Appl. Math. Comput., 2012)

A finite element approach for finding positive solutions of a logistic equation with a sign-changing weight function. - Manoj Kumar; Akanksha Srivastava; Garima Mishra (Appl. Math. Comput., 2014)

A Game Theory based Approach for Opportunistic Channel Access in Green Cognitive Radio Networks. - Akanksha Srivastava; Mani Shekhar Gupta; Gurjit Kaur (ANTS, 2019)

HOME: a histogram based machine learning approach for effective identification of differentially methylated regions. - Akanksha Srivastava; Yuliya V. Karpievitch; Steven R. Eichten; Justin O. Borevitz; Ryan Lister (BMC Bioinform., 2019)

Energy efficient transmission trends towards future green cognitive radio networks (5G): Progress, taxonomy and open challenges. - Akanksha Srivastava; Mani Shekhar Gupta; Gurjit Kaur (J. Netw. Comput. Appl., 2020)

Resource management for traffic imbalance problem in green cognitive radio networks. - Akanksha Srivastava; Gurjit Kaur (Phys. Commun., 2021)

The Impact of the Metaverse on Green Marketing: A Paradigm Shift in Sustainable Consumer Behaviour. - Akanksha Srivastava; G. P. Sahu (TDIT (1), 2022)

Machine learning-based predictive modeling for failure management of optical spatial mode division multiplexing system. - Gurjit Kaur; Yaman Parasher; Akanksha Srivastava; Prabhjot Singh (Int. J. Commun. Syst., 2022)

CEAR: A cooperation based energy aware reward scheme for next generation green cognitive radio networks. - Akanksha Srivastava; Gurjit Kaur (Phys. Commun., 2023)

Cooperation and energy harvesting based spectrum sensing schemes for green cognitive radio networks. - Akanksha Srivastava; Gurjit Kaur (Trans. Emerg. Telecommun. Technol., 2023)

Brain tumor image segmentation using model average ensembling of deep networks. - Ajey Shakti Mishra; Upendra Kumar Acharya; Akanksha Srivastava; Aashi Rohit Modi; Sandeep Kumar (Int. J. Syst. Assur. Eng. Manag., 2024)

RORA: Reinforcement learning based optimal distributed resource allocation strategies in vehicular cognitive radio networks for 6G. - Mani Shekhar Gupta; Akanksha Srivastava; Krishan Kumar 002 (Veh. Commun., 2025)

PORA: A Proactive Optimal Resource Allocation Framework for Spectrum Management in Cognitive Radio Networks. - Mani Shekhar Gupta; Akanksha Srivastava; Krishan Kumar 002 (IEEE Trans. Netw. Serv. Manag., 2025)