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Developing rigorous machine learning models to accurately estimate pesticide photodegradation by ZnO-based photocatalysts in water

Farag M. A. AltalbawyDepartment of Chemistry, University College of Duba, University of Tabuk, Tabuk, Saudi ArabiaShoira FormanovaDepartment of Chemistry and Its Teaching Methods, Tashkent State Pedagogical University, Tashkent, UzbekistanAhmad AlmalkawiCenter for ESL & Academic Preparation, Modern College of Business and Science, Muscat, OmanH.S. ShreenidhiDepartment of Computer Science and Engineering, School of Engineering and Technology, JAIN (Deemed to be University), Bangalore, Karnataka, IndiaPrabhat Kumar SahuDepartment of Computer Science and Information Technology, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha-751030, IndiaJyoti MalikPunjab Engineering CollegeD.V.S Ravi VarmaDepartment of CSE, Raghu Engineering College, Visakhapatnam, Andhra Pradesh-531162, IndiaVatsal JainCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, IndiaAhmad AlkhayyatDepartment of computers Techniques engineering, College of technical engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, IraqAhmad KhalidFaculty of Engineering, Sana’a University, Sanaa, Yemen

Journal of the Indian Chemical Societyjournal2025en

Ochiq kirish: yoʻq

ABI

Annotatsiya

Annotatsiya mavjud emas.

Mavzular

Water Quality Monitoring and Analysis Hydrological Forecasting Using AI Machine Learning and Data Classification

Identifikatorlar

DOI: 10.1016/j.jics.2025.102370

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