An explainable machine learning model to predict and elucidate the compressive behavior of high-performance concrete Tekijä Debaditya Chakraborty, Ibukun Awolusi, Lilianna Gutierrez

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Explainable AI reveals new hydroclimatic insights for ecosystem-centric groundwater management Tekijä Debaditya Chakraborty, Hakan Başağaoğlu, Lilianna Gutierrez, Ali Mirchi

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A Hybrid TOPSIS-Structure Entropy Weight Group Subcontractor Selection Model for Large Construction Companies Tekijä Ce Gao, Hazem Elzarka, Hongyan Yan, Debaditya Chakraborty, Chunmei Zhou

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Using Artificial Neural Network (ANN) for Short-Range Prediction of Cotton Yield in Data-Scarce Regions Tekijä Tugba Yildirim, Daniel N. Moriasi, Patrick J. Starks, Debaditya Chakraborty

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Heuristic data-inspired scheme to characterize meteorological and groundwater droughts in a semi-arid karstic region under a warming climate Tekijä Hakan Başağaoğlu, Chetan Sharma, Debaditya Chakraborty, Icen Yoosefdoost, F. Paul Bertetti

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Unmanned Aerial Systems and Deep Learning for Safety and Health Activity Monitoring on Construction Sites Tekijä Aliu Akinsemoyin, Ibukun Awolusi, Debaditya Chakraborty, Ahmed Jalil Al-Bayati, Abiola Akanmu

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Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable Artificial Intelligence Tekijä Debaditya Chakraborty, Elizabeth Gutierrez‐Chakraborty, Cristian Rodriguez‐Aguayo, Hakan Başağaoğlu, Gabriel Lopez‐Berestein, Paola Amero

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Artificial Intelligence for Developing Accurate Preliminary Cost Estimates for Composite Flooring Systems of Multi-Storey Buildings Tekijä Hosam Elhegazy, Debaditya Chakraborty, Hazem Elzarka, Ahmed M. Ebid, Ibrahim M. Mahdi, Said Y. Aboul Haggag, Ibrahim Abdel Rashid

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