Optimizing machine learning for enhanced automated ECG analysis in cardiovascular healthcare by Keyi Tang, Shuyuan Ma, Xiaohui Sun, Dongfang Guo

“…The proposed approach demonstrates promising results in accurately categorizing heartbeats, offering a potential solution to the limitations of current classification methods. By optimizing classification models with metaheuristic algorithms, such as JADE, the study achieves significant performance improvements, highlighting the effectiveness of integrating advanced optimization techniques into ECG analysis processes. …”
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Machine learning applied to the design and optimization of polymeric materials: A review by Sudarsan M. Pai, Karim A. Shah, Sruthi Sunder, Rodrigo Q. Albuquerque, Christian Brütting, Holger Ruckdäschel

“…By leveraging ML algorithms, researchers can accelerate the design process, predict material properties more rapidly, and optimize formulations. ML approaches can analyze vast amounts of data, uncover hidden patterns, and generate predictive models that significantly reduce the time needed to develop materials with desired properties. …”
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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

“…Computer models of the fabrics were used as previews. In addition, the shaping possibilities of the CroMat crocheting machine, in particular with respect to increase and decrease stitches, are presented and discussed by means of the tessellation optimization of exemplary polygon shapes. …”
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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 anomaly detection models for edge IIoT with an enhanced firefly algorithm-based hyperparameter tuning strategy by Mohemmed Yousuf Rahamathulla, Mangayarkarasi Ramaiah

“…By means of adaptive attack detection models, machine learning (ML) presents a potential solution. …”
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Joint optimization of AI large and small models for surface temperature and emissivity retrieval using knowledge distillation by Wang Dai, Kebiao Mao, Zhonghua Guo, Zhihao Qin, Jiancheng Shi, Sayed M. Bateni, Liurui Xiao

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Determination of similar material proportions based on orthogonal experiments and neural network optimization in the goaf area by Shengdi Wang, Junzhi Chen, Yonggang Zhang, Xiaowei Qiao, Zhiping Zhang, Xin Wang

“…Furthermore, this study proposed a novel machine learning-based prediction model that utilizes a PSO-BP neural network to regress and predict experimental data. …”
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Enhanced CO₂ Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally

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Optimized prediction of diabetes complications using ensemble learning with Bayesian optimization: a cost-efficient laboratory-based approach by Dapeng Yan, Xiaohan Li, Yifan Wang, Zhikuang Cai

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Advanced Machine Learning Techniques for Predicting Concrete Compressive Strength by Mohammad Saleh Nikoopayan Tak, Yanxiao Feng, Mohamed Mahgoub

Subjects: “…machine learning models…”
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Application of Metaheuristics for Optimizing Predictive Models in iHealth: A Case Study on Hypotension Prediction in Dialysis Patients by Felipe Cisternas-Caneo, María Santamera-Lastras, José Barrera-Garcia, Broderick Crawford, Ricardo Soto, Cristóbal Brante-Aguilera, Alberto Garcés-Jiménez, Diego Rodriguez-Puyol, José Manuel Gómez-Pulido

“…This study examines the application of advanced machine learning techniques, combined with metaheuristic optimization methods, to improve predictive models for intradialytic hypotension (IDH) in hemodialysis patients. …”
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Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model by Lizhen Wu, Zhefei Pan, Shu Yuan, Xiaoyu Huo, Qiang Zheng, Xiaohui Yan, Liang An

“…Therefore, machine learning methods are adopted to accelerate the optimization. …”
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Construction and Optimization of Integrated Yield Prediction Model Based on Phenotypic Characteristics of Rice Grown in Small–Scale Plantations by Jihong Sun, Peng Tian, Zhaowen Li, Xinrui Wang, Haokai Zhang, Jiangquan Chen, Ye Qian

“…Subsequently, the top three models with the best performance in individual model predictions are integrated using voting and stacking ensemble methods to obtain the optimal integrated model. …”
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Predicting excavation-induced lateral displacement using improved particle swarm optimization and extreme learning machine with sparse measurements by Cheng Chen, Guan-Nian Chen, Song Feng, Xiao-Zhen Fan, Liang-Tong Zhan, Yun-Min Chen

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Comparative Analysis of Offshore Wind Resources and Optimal Wind Speed Distribution Models in China and Europe by Yanan Chen, Ming Zhao, Zhengxian Liu, Jianlong Ma, Lei Yang

“…Offshore wind resources in China and Europe are systematically compared, focusing on wind speed characteristics and the selection of optimal wind speed probability distribution models. …”
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Durability prediction of sustainable marine concrete under freeze-thaw cycles using multi-objective machine learning models by Aïssa Rezzoug, Ali H. AlAteah, Sadiq Alinsaif, Sahar A. Mostafa

“…To enhance accessibility and practical usability, a graphical user interface (GUI) was developed, enabling engineers to input concrete mix parameters and obtain performance predictions without requiring programming knowledge. Four machine learning techniques were utilized: a convolutional neural network (CNN), a genetic algorithm with optimized artificial neural network (GA-ANN), an adaptive neuro-fuzzy inference system (ANFIS), and multi-objective optimization (MOO). …”
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Integrated feature selection-based stacking ensemble model using optimized hyperparameters to predict breast cancer with smart web application by Rajib Kumar Halder, Marzana Akter Lima, Mohammed Nasir Uddin, Md.Aminul Islam, Adri Saha

“…The proposed framework was evaluated using two distinct datasets: the Wisconsin Prognostic Breast Cancer (WPBC) dataset and the Wisconsin Original Breast Cancer (WOBC) dataset. This model stands out for its potential to significantly enhance early detection and treatment strategies, marking a significant advance in applying machine learning to improve healthcare outcomes. …”
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Predicting Travel Insurance Purchases in an Insurance Firm through Machine Learning Methods after COVID-19 by Shiuh Tong Lim, Joe Yee Yuan, Khai Wah Khaw, XinYing Chew

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Advances in bridging computational and clinical outcomes in brain tumour therapy by leveraging artificial intelligence and machine learning by Sagar Trivedi, Ujban Hussain, Samiksha Tammewar, Rishabh Agade, D.C. Sahu

“…Particular focus in this review is placed on the AI and ML contributions to refining predictive models for drug efficacy and BBB penetration so that highly targeted, personalized therapies are developed. …”
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Interpretable Optimization: Why and How We Should Explain Optimization Models by Sara Lumbreras, Pedro Ciller

“…Interpretability is widely recognized as essential in machine learning, yet optimization models remain largely opaque, limiting their adoption in high-stakes decision-making. …”
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