Knowledge distillation with resampling for imbalanced data classification: Enhancing predictive performance and explainability stability by Kazuki Fujiwara

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Evaluating Supervised Learning Classifier Performance for OFDM Communication in AWGN-Impacted Systems by Lavanya Vaishnavi D A, Anil Kumar C

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Optimization of the parameters of tillage units by Volodymyr Nadykto, Gennadii Golub, Taras Hutsol, Savelii Kukharets, Serhii Pohorilyi, Maciej Kuboń, Iryna Horetska, Jakub Gajda, Sylwester Tabor

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Predicting student self-efficacy in Muslim societies using machine learning algorithms by Mohammed Ba-Aoum, Mohammed Ba-Aoum, Mohammed Alrezq, Jyotishka Datta, Konstantinos P. Triantis

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AI Functionalities in Cobot-Based Manufacturing for Performance Improvement in Quality Control Application by Madis Moor, Martinš Sarkans, Tavo Kangru, Tauno Otto, Jüri Riives

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Integrating machine-readable user interface requirements into open networked operating rooms by Okan Yilmaz, Dominik Stegemann, Klaus Radermacher, Miriam Lange, Armin Janß

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No-load and on-load performance analysis of 10-stator-slots five phase flux switching machines with non-overlapped winding configurations by Muhammad Yousuf, Faisal Khan, Ahmed Tameemi, Wasiq Ullah

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Integration of IoT and Machine Learning for Real-Time Monitoring and Control of Heart Disease Patients by Neelamadhab Padhy, Rasmita Panigrahi, Sibo Prasad Patro, Vishal Kumar Swain, Kiran Kumar Sahu

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Design Optimization of a 3-PUU Parallel Machine for Friction Stir Welding Robots by Eka Marliana, Latifah Nurahmi, Arif Wahjudi, I. Made Londen Batan, Guowu Wei

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Challenge of the performance management of trust control systems with deep learning by A. A. Zelensky, T. K. Abdullin, M. M. Zhdanova, V. V. Voronin, A. A. Gribkov

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Domain Knowledge Preservation in Financial Machine Learning: Evidence from Autocallable Note Pricing by Mohammed Ahnouch, Lotfi Elaachak, Erwan Le Saout

“…These findings provide empirical evidence that financial machine learning benefits from domain-specific feature engineering principles that preserve economic relationships. …”
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Machine learning and response surface methodology forecasting comparison for improved spray dry scrubber performance with brine sludge-derived sorbent by B.J. Chepkonga, L. Koech, R.S. Makomere, H.L. Rutto

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Estimating the plausible projections of land use/land cover dynamics in Jhelum and Chenab River basins using satellite imageries and machine learning models in Google Earth Engine by Syeda Maria Zafar, Junaid Aziz Khan, Ammara Mobeen, Wan Shafrina Wan Mohd Jaafar, Ricky Anak Kemarau

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Sarcopenia prediction model based on machine learning and SHAP values for community-based older adults with cardiovascular disease in China by Peil Yu, Xinxin Zhang, Guoxuan Sun, Ping Zeng, Ping Zeng, Ping Zeng, Chu Zheng, Chu Zheng, Chu Zheng, Ke Wang, Ke Wang, Ke Wang

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Predicting the mechanical performance of industrial waste incorporated sustainable concrete using hybrid machine learning modeling and parametric analyses by Md. Alhaz Uddin, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, Md. Kanan Chowdhury Tilak, Ratan Lal, Md. Selim Reza, Fahad Alsharari, Mohamed AbdelMongy, Masuk Abdullah

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Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts by Kennedy C. Onyelowe, Shadi Hanandeh, Nestor Ulloa, Ruth Barba-Vera, Arif Ali Baig Moghal, Ahmed M. Ebid, Krishna Prakash Arunachalam, Ateekh Ur Rehman

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Machine Learning-Based Multi-Objective Optimization for Enhancing the Performance of Block Support Structures for Electron Beam Additive Manufacturing by Mustafa M. Nasr, Wadea Ameen, Abdulmajeed Dabwan, Abdulrahman Al-Ahmari

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High-performance glass classification using advanced machine learning and deep learning algorithms with a comprehensive feature analysis by Mohammed Bouziane, Abdelghani Bouziane, Samia Larguech, Khatir Naima, Mohammad Salman Haque, Younes Menni

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Machine learning-based prediction of torsional behavior for ultra-high-performance concrete beams with variable cross-sectional shapes by Elhabyb Khaoula, Baina Amine, Bellafkih Mostafa, A. Deifalla, Amr El-Said, Mohamed Salama, Ahmed Awad

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Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance by S. Sivaraman, N. Radhika, Muhammad Abubaker Khan

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