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A Study of Water Quality Monitoring System With Internet of Things and Machine Learning Regression Techniques
Sujan Chandra Roy, Md Ashraful Islam, Ripa Sarkar, Ratna Rani Sarkar, Ferdaus Anam Jibon and Laila Naznin Cureus Journal of Computer Science (2025) https://doi.org/10.7759/s44389-025-04028-y
Advancements in Soil Quality Assessment: A Comprehensive Review of Machine Learning and AI-Driven Approaches for Nutrient Deficiency Analysis
S. Barathkumar, K.M. Sellamuthu, K. Sathyabama, P. Malathi, R. Kumaraperumal and P. Devagi Communications in Soil Science and Plant Analysis 56(2) 251 (2025) https://doi.org/10.1080/00103624.2024.2406484
Data driven power flow analysis of SVC connected network during power network reconfiguration
A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and Deep Learning Paradigms
Comparison of various machine learning techniques for modeling the heterogeneous acid-catalyzed alcoholysis process of biodiesel production from green seed canola oil
Integration of Artificial Intelligence, Machine Learning and Deep Learning Techniques in Genomics: Review on Computational Perspectives for NGS Analysis of DNA and RNA Seq Data
Optimizing Spectral Properties of Cesium Tungsten Bronze Films Doped with Silver Nanowires Based on the Machine Learning Method
Zeming He, Wenxi Xie, Siyang Zhang, Yin Gao, Ashraf Y. Elnaggar, Juanna Ren, Islam H. El Azab, Zeinhom M. El-Bahy, Ming Yang, Hang Zhang and Zhanhu Guo The Journal of Physical Chemistry C 128(38) 16093 (2024) https://doi.org/10.1021/acs.jpcc.4c03634
Machine Learning Applied to Predict Key Petroleum Crude Oil Constituents
Predicting Interplanetary Shock Occurrence for Solar Cycle 25: Opportunities and Challenges in Space Weather Research
Denny M. Oliveira, Robert C. Allen, Livia R. Alves, Séan P. Blake, Brett A. Carter, Dibyendu Chakrabarty, Giulia D’Angelo, Kevin Delano, Ezequiel Echer, Cristian P. Ferradas, Matt G. Finley, Bea Gallardo‐Lacourt, Dan Gershman, Jesper W. Gjerloev, John Bosco Habarulema, Michael D. Hartinger, Rajkumar Hajra, Hisashi Hayakawa, Liisa Juusola, Karl M. Laundal, Robert J. Leamon, Michael Madelaire, Miguel Martínez‐Ledesma, Scott M. McIntosh, Yoshizumi Miyoshi, et al. Space Weather 22(8) (2024) https://doi.org/10.1029/2024SW003964
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The anesthesiologist’s guide to critically assessing machine learning research: a narrative review
Felipe Ocampo Osorio, Sergio Alzate-Ricaurte, Tomas Eduardo Mejia Vallecilla and Gustavo Adolfo Cruz-Suarez BMC Anesthesiology 24(1) (2024) https://doi.org/10.1186/s12871-024-02840-y
Spectroscopy-Based Methods and Supervised Machine Learning Applications for Milk Chemical Analysis in Dairy Ruminants
Sizing with Technical Indicators of Microgrids with Battery Energy Storage Systems: A Systematic Review
Andrea Vasconcelos, Amanda Monteiro, Tatiane Costa, Ana Clara Rode, Manoel H. N. Marinho, Roberto Dias Filho and Alexandre M. A. Maciel Energies 16(24) 8095 (2023) https://doi.org/10.3390/en16248095
A Review on the Use of Machine Learning Techniques in Monkeypox Disease Prediction
Proceedings of Third International Conference on Computing, Communications, and Cyber-Security
Amit Saraswat, Abhijeet Negi, Kushagara Mittal, Brij Bhushan Sharma and Nimish Kappal Lecture Notes in Networks and Systems, Proceedings of Third International Conference on Computing, Communications, and Cyber-Security 421 325 (2023) https://doi.org/10.1007/978-981-19-1142-2_25
Computation of VHF Signal Strength for Point to Area Network using Machine Learning Modeling Techniques
Kingsley Igwe, Nurudeen Olawale Adeyemi and Lukman Folorunso Onadiran Malaysian Journal of Science and Advanced Technology 204 (2023) https://doi.org/10.56532/mjsat.v3i3.163
Wojciech P. Adamczyk, Agata Widuch, Pawel Morkisz, Zhou Minmin, Kari Myöhänen, Adam Klimanek and Sebastian Pawlak (2023) https://doi.org/10.2139/ssrn.4511191
A Machine Learning Approach for the Estimation of Total Dissolved Solids Concentration in Lake Mead Using Electrical Conductivity and Temperature
Handbook of Research on Blockchain Technology and the Digitalization of the Supply Chain
Hariprasath Manoharan, Abirami Manoharan, Shitharth Selvarajan and K. Venkatachalam Advances in Logistics, Operations, and Management Science, Handbook of Research on Blockchain Technology and the Digitalization of the Supply Chain 399 (2023) https://doi.org/10.4018/978-1-6684-7455-6.ch019
Technique for reducing erosion in large-scale circulating fluidized bed units
Jaroslaw Grochowalski, Agata Widuch, Sławomir Sładek, Bartłomiej Melka, Marcin Nowak, Adam Klimanek, Marek Andrzejczyk, Marcin Klajny, Lucyna Czarnowska, Bartłomiej Hernik, Minmin Zhou, Sebastian Pawlak and Wojciech Adamczyk Powder Technology 426 118651 (2023) https://doi.org/10.1016/j.powtec.2023.118651
Framework for predictive sales and demand planning in customer-oriented manufacturing systems using data enrichment and machine learning
Bureaucratic and Cultural Barriers That Impede Optimal Management in Administrative Processes in Public Universities in Peru
Marco A. Coral and Augusto E. Bernuy International Journal of Adult Education and Technology 13(1) 1 (2022) https://doi.org/10.4018/IJAET.313434
Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops
Abdelkader Magdy Shaaban, Sebastian Chlup and Christoph Schmittner Lecture Notes in Computer Science, Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops 13415 110 (2022) https://doi.org/10.1007/978-3-031-14862-0_7
Machine learning models for streamflow regionalization in a tropical watershed
Renan Gon Ferreira, Demetrius David da Silva, Abrahão Alexandre Alden Elesbon, Elpídio Inácio Fernandes-Filho, Gustavo Vieira Veloso, Micael de Souza Fraga and Lucas Borges Ferreira Journal of Environmental Management 280 111713 (2021) https://doi.org/10.1016/j.jenvman.2020.111713
Empirical analysis of regression techniques by house price and salary prediction
Power Prediction of Combined Cycle Power Plant (CCPP) Using Machine Learning Algorithm‐Based Paradigm
Raheel Siddiqui, Hafeez Anwar, Farman Ullah, Rehmat Ullah, Muhammad Abdul Rehman, Naveed Jan, Fawad Zaman and Javier Prieto Wireless Communications and Mobile Computing 2021(1) (2021) https://doi.org/10.1155/2021/9966395
Mean parotid dose prediction model using machine learning regression method for intensity-modulated radiotherapy in head and neck cancer