A machine learning-powered energy consumption prediction system with API by Toyeeb Adekunle Abd’Azeez, Lanre Olatomiwa

“…Prior to model training, extensive exploratory data analysis, preprocessing, and feature engineering were conducted to maintain data quality and enhance model performance. …”
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Machine Learning‐Assisted Pulse Electrodeposition of Copper for Enhanced Nitrate Sensing by Seyed Oveis Mirabootalebi, Annalise Mackie, Gideon Vos, Dr. Mostafa Rahimi Azghadi, Dr. Yang Liu

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Photovoltaic fault detection algorithm using ensemble learning enhanced with deep neural network feature engineering by Maryam Parvin, Hossein Yousefi, Behnam Mohammadi-Ivatloo

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Fractional Intuitionistic Fuzzy Support Vector Machine: Diabetes Tweet Classification by Hassan Badi, Alina-Mihaela Patriciu, Karim El Moutaouakil

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A Multi-Objective optimization framework for the sustainable machining of Monel 400 by Binayak Sen, Prasadaraju Kantheti, Sachin Rathore, Bhavesh Kanabar, Ramachandran Thulasiram, Manoj Kumar, Abhijit Bhowmik, A. Johnson Santhosh

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Optimizing Data Classification in Support Vector Machines Using Metaheuristic Algorithms by Qonita Ilmi Awalin, Ika Hesti Agustin, Alfian Futuhul Hadi, Dafik Dafik, R. Sunder

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Radar signal recognition exploiting information geometry and support vector machine by Yuqing Cheng, Muran Guo, Limin Guo

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Enhanced water saturation estimation in hydrocarbon reservoirs using machine learning by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Dmitriy A. Martyushev

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Formation of Human-Machine Trust in Smart Construction: Influencing Factors and Mechanisms by Yongliang Deng, Kewei Li, Wenhui Hu, Lei Zhang, Yutong Gao

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Explainable Machine Learning for Mapping Minerals From CRISM Hyperspectral Data by Sandeepan Dhoundiyal, Moni Shankar Dey, Shashikant Singh, Pattathal V. Arun, Guneshwar Thangjam, Alok Porwal

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Power Theft Detection in Smart Grids Using Quantum Machine Learning by Konstantinos Blazakis, Nikolaos Schetakis, Mahmoud M. Badr, Davit Aghamalyan, Konstantinos Stavrakakis, Georgios Stavrakakis

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Research on rock strength prediction model based on machine learning algorithm by Xiang Ding, Mengyun Dong, Wanqing Shen

“…This research is important for geotechnical engineering, as accurate rock strength predictions are critical for the design and stability assessments of construction projects, ultimately contributing to safer and more cost-effective engineering solutions.…”
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Detection of breast cancer using machine learning and explainable artificial intelligence by Tharunya Arravalli, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, D. Cenitta, Rajagopala Chadaga, K. S. Swathi

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Numerical Optimization of Polygon Tessellation for Generating Machine-producible Crochet Patterns by Jan Lukas Storck, Bjarte Alexander Feldmann, Johannes Fiedler, Yordan Kyosev

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Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

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Enhancing freight train delay prediction with simulation‐assisted machine learning by Niloofar Minbashi, Jiaxi Zhao, C. Tyler Dick, Markus Bohlin

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Predicting cancer risk using machine learning on lifestyle and genetic data by Mohamed Abdelmoaty Ahmed, Ahmed AbdelMoety, Asmaa Mohamed Ahmed Soliman

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Design of machine learning-based controllers for speed control of PMSM drive by Ashly Mary Tom, J. L. Febin Daya

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Design and Optimisation of a Time-Controlled Feeding Machine for Shrimp Farming by Muangpool Thanin, Wasuri Boonthong, Kuankid Sanya

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Machine Learning and Deep Learning Approaches for Accent Recognition: A Review by Muzaffar Ahmad Dar, Jagalingam Pushparaj

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