Citing Works
Predicting medical waste generation and associated factors using machine learning in the Kingdom of Bahrain
Khadija Al-Omran, Ezzat Khan
Environmental Science and Pollution Research · 2024
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Predicting Optimal Solar Cell Design for Enhanced Degradation Resistance based on Environmental Conditions Using Machine Learning
Pratik De Sarkar, Rajdeep Karmakar, Rupayan Dutta, K. K. Ghosh
International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT) · 2024
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Predicting single-cell fate during infection using machine learning
Mariatou Dramé
2024
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Predicting the concentration range of trace organic contaminants in recycled water using supervised classification
Mahshid Seyedeh Zahra Farzanehsa, Guido Carvajal, James A. McDonald, Stuart J. Khan
Journal of Water Process Engineering · 2024
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Predicting the effects of microcredit on women’s empowerment in rural Bangladesh: using machine learning algorithms
Johora Akter Polin, Md. Fouad Hossain Sarker, Mst Dilruba Khanom Dolon, Nahid Hasan, Md. Mahafuzur Rahman, Zannatun Nayem Vasha
Bulletin of Electrical Engineering and Informatics · 2024
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Predicting the heat capacity of strontium-praseodymium oxysilicate SrPr4(SiO4)3O using machine learning, deep learning, and hybrid models
Amir Hossein Sheikhshoaei, Ali Khoshsima, Davood Zabihzadeh
Chemical Thermodynamics and Thermal Analysis · 2024
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Predicting the success of startups using a machine learning approach
Mona Razaghzadeh Bidgoli, Iman Raeesi Vanani, Mehdi Sheikh Goodarzi
Journal of Innovation and Entrepreneurship · 2024
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Prediction Model for World Happiness Index Using Machine Learning Technique
Adarsh Azad, Bhanu Talwar, Shifa Shah, Hrishikesh Prasad Shendre, Amar Jyoti, Gagandeep Pandit, Vipin Tiwari
SSRN Electronic Journal · 2024
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Prediction of electrical properties of GAAFET based on integrated learning model
Xuyan Zhang, Siyu Chen, Shulong Wang, Jiarui Li, Dongliang Chen, Yuhang Li, Lan Ma, Shupeng Chen, Hongxia Liu, Yuanjie Lv, JunShuai Xue
Nanotechnology · 2024
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Prediction of proliferative diabetic retinopathy using machine learning in Latino and non‐Hispanic black cohorts with routine blood and urine testing
Ayelet Goldstein, Kun Ding, Onelys Carrasquillo, Barton S. Levine, Aisha Hasan, Jonathan Levine
Ophthalmic and Physiological Optics · 2024
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