Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

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Enhanced soil organic carbon mapping in Gannan’s alpine meadows: A comparative analysis of machine learning models and satellite data by Xingyu Liu, Meiling Zhang, Ziming Ma

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Impact of computing platforms on classifier performance in heart disease prediction by Beenish Ayesha Akram, Muhammad Irfan, Amna Zafar, Sidra Khan, Rubina Shaheen

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CONDITIONS OF REDUCED COST FOR MACHINE-BUILDING PRODUCTS by Dmytro NOVIKOV, Yury GUTSALENKO, Feodor NOVIKOV

“…Analytically established the existence of a minimum of the cost of processing which achieved at high cutting speeds in terms of using modern high-performance cutting tools with wear-resistant coatings and high-speed machining centers with CNC. …”
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Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

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Ensemble Learning with Highly Variable Class-Based Performance by Brandon Warner, Edward Ratner, Kallin Carlous-Khan, Christopher Douglas, Amaury Lendasse

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Using Permutation-Based Feature Importance for Improved Machine Learning Model Performance at Reduced Costs by Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem

“…This task is commonly achieved through Machine Learning (ML) techniques, but improving model performance typically incurs significant computational costs. …”
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Design of a Prediction Model to Predict Students’ Performance Using Educational Data Mining and Machine Learning by Jayasree R, Sheela Selvakumari

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Leveraging machine learning to evaluate the effect of raw materials on the compressive strength of ultra-high-performance concrete by Mohamed Abdellatief, G. Murali, Saurav Dixit

“…These findings offer valuable guidance for design engineers and construction professionals, enabling data-driven optimization of UHPC mixes to achieve both sustainability and high mechanical performance.…”
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Alternative lubrication-cooling approaches for broaching medium-carbon steel: Machining performance and life cycle analysis by Cristian Pérez-Salinas, Ander del Olmo, L. Norberto López de Lacalle, Diego Núñez, Leticia Mayorga, Maritza Ureña

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Machine Learning in the Design and Performance Prediction of Organic Framework Membranes: Methodologies, Applications, and Industrial Prospects by Tong Wu, Jiawei Zhang, Qinghao Yan, Jingxiang Wang, Hao Yang

“…Organic framework membranes (OFMs) have emerged as transformative materials for separation technologies due to their tunable porosity, structural diversity, and stability, yet their design and optimization face challenges in navigating vast chemical spaces and complex performance trade-offs. This review highlights the pivotal role of machine learning (ML) in overcoming these limitations by integrating multi-source data, constructing quantitative structure–property relationships, and enabling the cross-scale optimization of OFMs. …”
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Application and feasibility analysis of knowledge-based machine learning in predicting fatigue performance of stainless steel by Jia Wang, Dongkui Fan, C.S. Cai

“…Eight machine learning models were deployed and analyzed using the dataset, and their predictive performances were evaluated using assessment metrics. …”
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Machine learning models for performance estimation of solar still in a humid sub-tropical region by Farooque Azam, Naiem Akhtar, Shahid Husain

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Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications by Zihan Wang, Ruichen Chen, Shengyao Lu, Ian Then, Di Niu, Xihua Wang

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Investigating the performance of random oversampling and genetic algorithm integration in meteorological drought forecasting with machine learning by Tahsin Baykal, Özlem Terzi, Gülsün Yıldırım, Emine Dilek Taylan

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Performance analysis of cloud resource allocation scheme with virtual machine inter-group asynchronous failure by Yuan Zhao, Kang Chen, Hongmin Gao, Yan Li

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Machine learning-driven discovery of high-performance MEMS disk resonator gyroscope structural topologies by Chen Chen, Jinqiu Zhou, Hongyi Wang, Youyou Fan, Xinyue Song, Jianbing Xie, Thomas Bäck, Hao Wang

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Enhancing concrete strength for sustainability using a machine learning approach to improve mechanical performance by Amir Khan, Aneel Manan, Muhammad Umar, Mudassir Mehmood, Kennedy C. Onyelowe, Krishna Prakash Arunachalam

“…This study leverages machine learning (ML) to predict the mechanical performance of RCA concrete and identify the key variables influencing its strength. …”
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Physics-informed machine learning for building performance simulation-A review of a nascent field by Zixin Jiang, Xuezheng Wang, Han Li, Tianzhen Hong, Fengqi You, Ján Drgoňa, Draguna Vrabie, Bing Dong

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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

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