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A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and Deep Learning Paradigms
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
Machine learning-driven framework for blast vibration assessment in mining sites
Radhakanta Koner, Shagun Bohra, Amit Kumar Mankar and Adabala Raja Venkata Sai Naresh Journal of Vibration and Control (2025) https://doi.org/10.1177/10775463251399754
Simplified Complex Permittivity Measurement of Dielectric Materials Using a Compact Waveguide and a Machine Learning Technique
Min-Seok Park, Jaehoon Cho, Soonyong Lee and Kyung-Young Jung Journal of Electromagnetic Engineering and Science 25(6) 610 (2025) https://doi.org/10.26866/jees.2025.6.r.333
İş Yapma Kolaylığının İhracat Üzerine Etkisinin OECD Ülkelerinde İncelenmesi
Comparison of various machine learning techniques for modeling the heterogeneous acid-catalyzed alcoholysis process of biodiesel production from green seed canola oil
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
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
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
Aikaterini-Artemis Agiomavriti, Maria P. Nikolopoulou, Thomas Bartzanas, Nikos Chorianopoulos, Konstantinos Demestichas and Athanasios I. Gelasakis Chemosensors 12(12) 263 (2024) https://doi.org/10.3390/chemosensors12120263
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
Sizing with Technical Indicators of Microgrids with Battery Energy Storage Systems: A Systematic Review
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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
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
Hassan Afzaal, Aitazaz A. Farooque, Travis J. Esau, Arnold W. Schumann, Qamar U. Zaman, Farhat Abbas and Melanie Bos 169 (2023) https://doi.org/10.1016/B978-0-443-18953-1.00005-2
Estimation of Ranque-Hilsch vortex tube performance by machine learning techniques
Swapnil Takale, Tejas Bhong, Umesh Dethe and Paras Gandhi Journal of Electronics,Computer Networking and Applied Mathematics (25) 62 (2022) https://doi.org/10.55529/jecnam.25.62.71
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
Cuff-Less Non-Invasive Blood Pressure Measurement Using Various Machine Learning Regression Techniques and Analysis
Srinivasa M. G. and Pandian P. S. International Journal of Biomedical and Clinical Engineering 11(1) 1 (2022) https://doi.org/10.4018/IJBCE.290387
Comparative study of regressor and classifier with decision tree using modern tools
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
The Current State and Future Directions of Modeling Thermosphere Density Enhancements During Extreme Magnetic Storms
Deep Learning and Edge Computing Solutions for High Performance Computing
Madhura S. Mulimani and Rashmi R. Rachh EAI/Springer Innovations in Communication and Computing, Deep Learning and Edge Computing Solutions for High Performance Computing 63 (2021) https://doi.org/10.1007/978-3-030-60265-9_5
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
Mean parotid dose prediction model using machine learning regression method for intensity-modulated radiotherapy in head and neck cancer
CP Ranjith, Niyas puzhakkal, MP Arunkrishnan, R Vysakh, MP Irfad, KS Vijayagopal and S Jayashanker Medical Dosimetry 46(3) 283 (2021) https://doi.org/10.1016/j.meddos.2021.02.003
Empirical analysis of regression techniques by house price and salary prediction