Multi-objective optimization of grinding process parameters for complicated worm space surface based on the grey wolf optimization algorithm by Jiongkang Ren, Shisong Wang, Keqi Ren

“…To account for actual working conditions, we developed constrained models for grinding ratio and machining rigidity and improved the boundary processing method for MOGWO optimization. …”
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Optimization of controlled damages on the recognition in the master education by M. V. Bibyk, A. S. Dovbysh

“…Information considered extreme learning algorithm is able to study decision support system as part of the automated control system combined heat and power unit with optimized control tolerances recognition. Within the framework of information fusion algorithm optimization studies DSS ACS for signs of recognition expedient design based on categorical model, which is a reflection of sets involved in machine learning and generalization represents a directed graph, where edges are the respective operators transform sets. …”
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Software for developing digital twins of agricultural machinery working bodies by D. A. Mironov, D.  V. Popov, R. K. Rasulov, A. K. Lamm

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Experimental investigation and predictive modelling of CO2 laser processing of wood-plastic composites (WPCs) by Sharizal Ahmad Sobri, Teoh Ping Chow, Tan Koon Tatt, Mohd Hisham Nordin, Andi Hermawan, Mohd Natashah Norizan

“…This study provides essential guidance for optimizing laser machining of WPCs, promoting precision, reduced thermal damage, and sustainable manufacturing practices.…”
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…Compared with traditional methods—such as deep neural networks, support vector machines, and linear regression—the proposed model effectively integrates static and dynamic agricultural data. …”
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Simulation and explanatory analysis of dissolved oxygen dynamics in Lake Ulansuhai, China by Fan Zhang, Xiaohong Shi, Shengnan Zhao, Ruonan Hao, Biao Sun, Guohua Li, Shihuan Wang, Hao Zhang

“…Study focus: After implementing the optimal noise reduction strategies based on wavelet transform for the high-frequency monitoring data, hybrid models coupling random forests, support vector machines, and artificial neural networks were employed to simulate the dissolved oxygen in the lake during both the open-water and ice-covered periods. …”
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Advanced Cluster-Based Load Forecasting and Peak Demand Management for Electric Vehicle Charging Networks by Yashvi Mudgal, Rajive Tiwari, Narayanan Krishnan, Alexander Aguila Tellez

“…The rapid adoption of Electric Vehicles (EVs) necessitates advanced solutions for flexible charging (FC) systems to meet diverse user needs and optimize grid efficiency. This study introduces a data-driven, cluster-based load forecasting framework using machine learning techniques. …”
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Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques by Althaf Ali A, Rama Devi K, Syed Siraj Ahmed N, Ramchandran P, Parvathi S

“…This paper proposes a novel approach that integrates Natural Language Processing (NLP) techniques with an ensemble of machine learning models for the proactive detection of malicious web content. …”
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A highly generalized federated learning algorithm for brain tumor segmentation by Jun Wen, Xiusheng Li, Xin Ye, Xiaoli Li, Hang Mao

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Estimating GPP in China using different site-level datasets, vegetation classification and vegetation indices by Jiahui Xu, Tiexi Chen, Xin Chen, Shengjie Zhou, Zhe Gu, Wenhui Li, Yingying Cui, Shengzhen Wang, Shuci Liu

“…Abstract Background Machine learning is widely used to estimate gross primary productivity (GPP) on large scales. …”
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Predicting 30‐day return hospital admissions in patients with COVID‐19 discharged from the emergency department: A national retrospective cohort study by David G. Beiser, Zachary J. Jarou, Alaa A. Kassir, Michael A. Puskarich, Marie C. Vrablik, Elizabeth D. Rosenman, Samuel A. McDonald, Andrew C. Meltzer, D. Mark Courtney, Christopher Kabrhel, Jeffrey A. Kline, the RECOVER Investigators

“…Future efforts may focus on the application of ML models in the hospital setting to optimize the allocation of follow‐up resources.…”
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Fault classification of meta-action unit using CEEMDAN double-layer decomposition and COA-SVM by Anxiang Guo, Zhan Zhao, Jiarui Sun, Hongyu Ge

“…To diagnose the meta-action unit of CNC machine tools efficiently and accurately, a fault diagnosis model of a meta-action unit based on envelope entropy double-layer decomposition and an improved Support Vector Machine (SVM) was established. …”
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Enhancing the reverse transcriptase function in Taq polymerase via AI-driven multiparametric rational design by Yulia E. Tomilova, Nikolay E. Russkikh, Igor M. Yi, Elizaveta V. Shaburova, Viktor N. Tomilov, Galina B. Pyrinova, Svetlana O. Brezhneva, Olga S. Tikhonyuk, Nadezhda S. Gololobova, Dmitriy V. Popichenko, Maxim O. Arkhipov, Leonid O. Bryzgalov, Evgeniy V. Brenner, Anastasia A. Artyukh, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Denis V. Antonets, Mikhail K. Ivanov, Mikhail K. Ivanov

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Exploring Purpose-Driven Methods and a Multifaceted Approach in Dam Health Monitoring Data Utilization by Zhanchao Li, Ebrahim Yahya Khailah, Xingyang Liu, Jiaming Liang

“…Methodologies such as numerical modeling, statistical analysis, and machine learning are critically analyzed, highlighting their strengths and limitations and the demand for advanced predictive techniques. …”
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Sustainable strengthening of concrete deep beams with openings using ECC and Bamboo: An equation and data-driven approach through abaqus modeling and GEP by Fayiz Amin, Ijaz Ali, Ali Husnain, Muhammad Faisal Javed, Hisham Alabduljabbar, Asher Junaid

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A Hybrid IVFF-AHP and Deep Reinforcement Learning Framework for an ATM Location and Routing Problem by Bahar Yalcin Kavus, Kübra Yazici Sahin, Alev Taskin, Tolga Kudret Karaca

“…After deciding the ATM locations with IVFF-AHP, in the last step, a Double Deep Q-Network Reinforcement Learning model is used to optimize the Cash in Transit (CIT) vehicle route. …”
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Machine learning and transfer learning techniques for accurate brain tumor classification by Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar

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Comparison of Support Vector Machine-Based Techniques for Detection of Bearing Faults by Lijun Wang, Shengfei Ji, Nanyang Ji

“…The proposed method improves the accuracy of fault diagnosis identification after processing the collected vibration signals through wavelet threshold denoising. The global optimization and high computational efficiency of SFLA are applied to the SVM model. …”
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Predicting Optimum Moisture Content by the individual and hybrid approach of machine learning by Yinghui Yang, Yahui Dai, Qunting Yang

“…To further enhance the predictive accuracy of these models, two meta-heuristic optimization techniques—Atom Search Optimization (ASO) and Reptile Search Algorithm (RSA)—are employed. …”
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Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

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