AI-Driven Predictive Maintenance for Workforce and Service Optimization in the Automotive Sector by Şenda Yıldırım, Ahmet Deniz Yücekaya, Mustafa Hekimoğlu, Meltem Ucal, Mehmet Nafiz Aydin, İrem Kalafat

“…As a result of this transition, individual customer service visit rates increased by 30%, while corporate customer visits rose by 37%. This study contributes to ongoing research on AI-driven workforce planning and service optimization, particularly within the scope of the AI4LABOUR project.…”
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Optimizing carbohydrate quality: a path to better health for women with PCOS by Li Zhang, Yuxin Jin, Aili Yang, Xinwen Yu, Yi Li, Xin Wang, Chunni Heng, Biao Qi, Bin Gao, Guohong Zhao, Guohong Zhao, Guohong Zhao

“…While further high-quality studies are needed, the findings suggest that dietary fiber and LGI/LGL consumption have distinct effects on metabolic parameters. …”
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Optimizing the design of a pediatric blood pump through orthogonal experimentation by Kaiyun Gu, Kaiyue Yang, Changlong Zhao, Qiang Shu, Ru Lin

“…Methods: This study employs a combination of computational fluid dynamics (CFD) and orthogonal experimentation to optimize six key parameters of the impeller blade. …”
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Deep Learning and fMRI-Based Pipeline for Optimization of Deep Brain Stimulation During Parkinson’s Disease Treatment: Toward Rapid Semi-Automated Stimulation Optimization by Jianwei Qiu, Afis Ajala, John Karigiannis, Jurgen Germann, Brendan Santyr, Aaron Loh, Luca Marinelli, Thomas Foo, Radhika Madhavan, Desmond Yeo, Alexandre Boutet, Andres Lozano

“…In this work, we proposed a deep learning and fMRI-based pipeline for DBS optimization that can potentially reduce the TPP from ~1 year to a few hours during a single clinical visit.Methods and procedures: We developed an unsupervised autoencoder (AE)-based model to extract meaningful features from 122 previously acquired blood oxygenated level dependent (BOLD) fMRI datasets from 39 a priori clinically optimized PD patients undergoing DBS therapy. …”
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Identification and verification of the optimal feature genes of ferroptosis in thyroid-associated orbitopathy by Xuemei Li, Xuemei Li, Xuemei Li, Xuemei Li, Xuemei Li, Chao Xiong, Chao Xiong, Chao Xiong, Chao Xiong, Chao Xiong, Siyi Wang, Siyi Wang, Siyi Wang, Zhangjun Ren, Zhangjun Ren, Zhangjun Ren, Qi Jin, Qi Jin, Qi Jin, Jinhai Yu, Jinhai Yu, Jinhai Yu, Jinhai Yu, Jinhai Yu, Yunxiu Chen, Yunxiu Chen, Yunxiu Chen, Puying Gan, Puying Gan, Puying Gan, Puying Gan, Qihua Xu, Qihua Xu, Qihua Xu, Qihua Xu, Qihua Xu, Yaohua Wang, Yaohua Wang, Yaohua Wang, Yaohua Wang, Yaohua Wang, Hongfei Liao, Hongfei Liao, Hongfei Liao, Hongfei Liao, Hongfei Liao

“…This study aims to identify and validate the optimal feature genes (OFGs) of ferroptosis with diagnostic and therapeutic potential in TAO orbital adipose tissue through bioinformatics analysis and to assess their correlation with disease-related immune cell infiltration.MethodsSearch of the Gene Expression Omnibus database for TAO-related gene datasets led to the selection of GSE58331 for differential gene expression analysis. …”
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Comparative analysis of geothermal and reservoir numerical simulation methods by GAI Changcheng, LI Hongda, REN Lu, CAO Wei, HAO Jie

“…Regarding simulation results, geothermal simulations are used for geothermal resource development planning and the optimization of key production parameters, while reservoir simulations are primarily applied to reserve estimation, injection-production parameter optimization, and well production management. …”
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Survey of IP geolocation: theory, methods, and innovative applications by LIU Xueting, TAI Wenxin, ZHOU Fan, WANG Yong, CHEN Kai

“…The first comprehensive framework for IP geolocation technologies was also established in this review, different methods and paradigms were taxonomized, while the current challenges in accurate, trustworthy, and robust IP geolocations were analyzed. …”
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Detection of child depression using machine learning methods. by Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

“…<h4>Background</h4>Mental health problems, such as depression in children have far-reaching negative effects on child, family and society as whole. It is necessary to identify the reasons that contribute to this mental illness. …”
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Theoretical and numerical study of profit in agricultural sector model using wavelet method by Yeshwanth R., Kumbinarasaiah S.

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Green extraction methods of fucoxanthin from brown macroalgae by Marcell Gyurkač, Taja Žitek Makoter, Miha Grilc, Blaž Likozar, Željko Knez, Maša Knez Marevci

“…The article also evaluates these methods against conventional organic solvent extraction, considering extraction efficiency, solvent greenness and recyclability, process sustainability, and potential for industrial scale-up, while identifying current limitations and explore opportunities for process optimization. …”
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Swarm Behaviour Optimisation Methods Based on an Original Algorithm by Krzysztof FALKOWSKI, Michał DUDA

“…This article presents an authorial swarm algorithm that performs coverage tasks using the Sweep Coverage method. The presented solution assumes stochastic movement of the objects in the swarm which allows them to be simple ones. …”
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Comparative evaluation of anesthesia methods for reconstructive carotid surgery by M. I. Neymark, V. V. Shmelyov, Z. A. Titova, S. A. Khaustova, B. A. Shadymov

“…CE was performed in 140 (73.6%) patients, while 50 (26.4%) patients underwent plasty with the autovenous patch. 60 patients had total intravenous anesthesia. …”
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Review of carbon emission accounting methods in coal enterprises by Yurong ZHENG, Wenbin SUN, Shouhang DU, Linye ZHU, Yuqi HUANG

“…Scholars in China and abroad have proposed and adopted many methods to account for the carbon emissions of coal enterprises. …”
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Enhanced COVID-19 Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Gri... by Basim ALBaaj, Orhan Kaplan

“…This paper introduces an enhanced version, the enhanced COVID-19 optimization algorithm (ENHCOVIDOA), designed to improve the performance of the original method. …”
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Assessing computational methods of cis-regulatory module prediction. by Jing Su, Sarah A Teichmann, Thomas A Down

“…Computational methods attempting to identify instances of cis-regulatory modules (CRMs) in the genome face a challenging problem of searching for potentially interacting transcription factor binding sites while knowledge of the specific interactions involved remains limited. …”
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Research Advances in Underground Bamboo Shoot Detection Methods by Wen Li, Qiong Shao, Fan Guo, Fangyuan Bian, Huimin Yang

“…This review systematically evaluates current detection approaches, including manual harvesting, microwave detection, resistivity methods, and biomimetic techniques. While manual methods remain dominant, they suffer from labor shortages, low efficiency, and high damage rates. …”
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Novel reagent addition method for improved copper recovery by L. Forbes, C. Brill, I. Verster, G.V. Franks

“…One such technology is the processing of coarser mineral particles by fluidized bed flotation. While much attention has been given to the design of fluidized bed flotation equipment, equal attention is warranted towards the optimization of chemistry within these new devices. …”
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Reliability Methods in Maintenance and Failure Analysis of Marine Systems by Damir BUDIMIR, Ivan GRGUREVIĆ, Jasna LEDER HORINA

“…This paper explores the application of advanced analytical methods and predictive maintenance technologies to optimise maintenance strategies for complex technical systems, with a specific focus on marine engines and high-pressure fuel pumps. …”
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Comparative analysis of methods for predicting train-induced vibrations by Wei-Lun Hsu, Wei-Bin Chen, Meng-Ting Hsieh

“…The study compared measured and predicted vibration levels to assess the accuracy of the FTA’s detailed and general prediction methods. Results indicate that detailed assessments tend to overestimate vibration levels, while an optimized general vibration assessment curve offers a more precise estimate. …”
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Safety helmet detection methods in heavy machinery factory by Liu Baoju, Wei Xiangqian, Chen Qingshan, Liu Jiaqi, Chen Ye, Yu Peng, Lei shi, Hu Yongfeng

“…When compared with mainstream object recognition algorithms such as SSD, Faster RCNN, and various YOLO versions, the optimized model shows its superiority. Compared to the original YOLOv10, its average accuracy rises by 0.5%, while floating-point computation and model size decrease by 7.1% and 1.4% respectively. …”
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