Efficient Reformulation of the Thermal Higher-order Theory for Fgms with Locally Variable Conductivity. - Yi Zhong; Yogesh Bansal; Marek-Jerzy Pindera (Int. J. Comput. Eng. Sci., 2004)

Image-Based Sorghum Head Counting When You Only Look Once. - Lawrence Mosley; Hieu Pham; Yogesh Bansal; Eric Hare (CoRR, 2020)

Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning. - Yogesh Bansal; David Lillis; M. Tahar Kechadi (CSCI, 2022)

Optimizing Network Provisioning through Cooperation. - Harsha Sharma; Parth Thakkar; Sagar Bharadwaj; Ranjita Bhagwan; Venkata N. Padmanabhan; Yogesh Bansal; P. Vijay Kumar; Kathleen Voelbel (NSDI, 2022)

Image-Based Sorghum Head Counting When You Only Look Once. - Lawrence Mosley; Hieu Pham; Yogesh Bansal; Eric Hare; Charity Mwanza (HICSS, 2023)

SelfTune: Tuning Cluster Managers. - Ajaykrishna Karthikeyan; Nagarajan Natarajan; Gagan Somashekar; Lei Zhao; Ranjita Bhagwan; Rodrigo Fonseca; Tatiana Racheva; Yogesh Bansal (NSDI, 2023)

A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction. - Yogesh Bansal; David Lillis; Mohand Tahar Kechadi (CoRR, 2023)

Correction to: A neural meta-model for predicting winter wheat crop yield. - Yogesh Bansal; David Lillis; M. Tahar Kechadi (Mach. Learn., 2024)

A neural meta model for predicting winter wheat crop yield. - Yogesh Bansal; David Lillis; M. Tahar Kechadi (Mach. Learn., 2024)