Optimal feature subset selection for fuzzy extreme learning machine using genetic algorithm with multilevel parameter optimization. - Archana Pritam Kale; Shefali Sonavane (ICSIPA, 2017)

PF-FELM: A Robust PCA Feature Selection for Fuzzy Extreme Learning Machine. - Archana Pritam Kale; Shefali Sonavane (IEEE J. Sel. Top. Signal Process., 2018)

IoT based Smart Farming : Feature subset selection for optimized high-dimensional data using improved GA based approach for ELM. - Archana Pritam Kale; Shefali Sonavane (Comput. Electron. Agric., 2019)

F-WSS (^{++} ) : incremental wrapper subset selection algorithm for fuzzy extreme learning machine. - Archana Pritam Kale; Shefali Sonavane (Int. J. Mach. Learn. Cybern., 2019)

Health Monitoring of Turning Tool through Vibration Signals Processed using Convolutional Neural Network Architecture. - Revati M. Wahul; Archana P. Kale; Abhishek D. Patange (Int. J. Perform. Eng., 2022)

Data Analysis for Fuzzy Extreme Learning Machine. - Archana P. Kale (Int. J. Fuzzy Log. Intell. Syst., 2023)

Development of Deep Belief Network for Tool Faults Recognition. - Archana P. Kale; Revati M. Wahul; Abhishek D. Patange; Rohan Soman; Wieslaw Ostachowicz (Sensors, 2023)

Parameterized Hubble parameter with observational constraints in fractal gravity. - D. K. Raut; Dnyaneshwar Dadaji Pawar; Archana P. Kale; N. G. Ghungarwar (Astron. Comput., 2025)