Experimental validation of machine learning for contamination classification of polluted high voltage insulators using leakage current by Umer Amir Khan, Mansoor Asif, Muhammad Hamza Zafar, Luai Alhems

“…The Bayesian optimization technique was used to optimize the parameters of Machine Learning Models. …”
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Energy-Efficient Office Renovation by Minyoung KWON

“…It also reveals the psychological impact of personal control on user satisfaction by showing differences in perceived satisfaction according to ‘no control’ and ‘do not have’. …”
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Development status and key technologies of deep-sea towing autonomous underwater vehicles by Guanyu LU, Tiedong ZHANG, Zhenglin LI, Dapeng JIANG, Ming LEI, Wanzhen LUO

“…Motion control needs to deal with external load interference to improve robustness, and attitude control of the towed body is crucial for detection capabilities, achievable through winch or adaptive AUV maneuvers. …”
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Research on Soybean Seedling Stage Recognition Based on Swin Transformer by Kai Ma, Jinkai Qiu, Ye Kang, Liqiang Qi, Wei Zhang, Song Wang, Xiuying Xu

“…The optimized Swin-T model is best in terms of recall and F1 score. …”
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Cyberattack Detection Systems in Industrial Internet of Things (IIoT) Networks in Big Data Environments by Abdullah Orman

“…Additionally, the study explores a broad range of hyperparameter configurations, optimizing model effectiveness for IIoT-specific intrusion detection. …”
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Virtual Node-Driven Cloud–Edge Collaborative Resource Scheduling for Surveillance with Visual Sensors by Xinyang Gu, Zhansheng Duan, Guangyuan Ye, Zhenjun Chang

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Hybrid Quantum–Classical Deep Neural Networks Based Smart Contract Vulnerability Detection by Sinan Durgut, Ecir Uğur Küçüksille, Mahmut Tokmak

“…The SmartBugs Wild Dataset was used for training, with TF-IDF employed as a preprocessing technique optimized for hybrid architectures. Experiments were conducted using hybrid architectures with 2-qubit and 4-qubit quantum layers, alongside a classical deep neural network (DNN) model for comparative analysis. …”
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Sustainable supply chain system for defective products with uncertain resources and environmental impacts by S. Priyan, R. Udayakumar

“…Numerical analysis is provided to validate the proposed model. The main numerical conclusions drawn from this study in the ecological context are threefold: (i) effective control of carbon emissions from supply chain processes can be achieved through strategic investments in green technologies, (ii) there exists a potential to minimize total cost, and (iii) an assessment of the effects of human errors during inspection on optimal strategies. …”
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A numerical investigation of heat and mass transfer in the bioconvective Oldroyd B nanofluid flow through the porous stretching Riga surface with gyrotactic microorganism by Muhammad Zulfiqar, Muhammad Bilal Arain, Muhammad Zubair, Usman, Hadil Alhazmi

“…The model has significant applications in industrial cooling, biomedical devices, and microfluidic systems, where the control of thermal and solutal transport is critical. …”
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Research on Predicting Joint Rotation Angles Through Mechanomyography Signals and the Broad Learning System by Yu Bai, Xiaorong Guan, Huibin Li, Shi Cheng, Rui Zhang, Long He

“…Experimental results demonstrate that mechanomyography signals exhibit a typical central frequency range of 10–50 Hz, and the Slime Mold Algorithm-optimized Broad Learning System model achieved a minimum coefficient of determination (<i>R</i>²) of 0.978, effectively predicting arm joint angles. …”
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Detection of weeds in teff crops using deep learning and UAV imagery for precision herbicide application by Alemu Setargew Kebede, Tsehay Wasihun Muluneh, Abebe Belay Adege

“…This study introduces an optimized deep learning model for weed detection in Teff fields, enabling selective and efficient herbicide application through unmanned aerial vehicles (UAVs). …”
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The concept of an automated educational system for the training of refueling complexes personnel by P. I. Klimov, V. M. Samoylenko

“…To ensure effective management of aviation fuel supply processes at all stages, the organizational structure should be based not only on modern equipment of all parts of the technological chain of fuel preparation, but also on a closed automated control system based on the introduction of modern, intelligent control and measuring devices. …”
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Exploring the impact of CO2 sequestration on plastic properties, mechanical performance, and microstructure of concrete by Clinton Pereira, Rishi Gupta

“…Additionally, the results show a 5–10% improvement in flexural and split tensile strength with CO2 addition over the control mix, with 0.75% dosage yielding optimal strength. …”
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Research on Simplified 3D-SVPWM Method for Three-level Inverter by XUE Shuo, SHEN Shuli, WU Di

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PM2.5 concentration 7-day prediction in the Beijing–Tianjin–Hebei region using a novel stacking framework by Xintong Gao, Xiaohong Wang, Fuping Li, Wenhao Jiang, Meng Zhe, Jiaxing Sun, Ao Zhang, Linlin Jiao

“…Abstract High-precision prediction of near-surface PM2.5 concentration is a significant theoretical prerequisite for effective monitoring and prevention of air pollution, and also provides guiding suggestions for the prevention and control of PM2.5-related health risks. It has been acknowledged that existing PM2.5 prediction models predominantly rely on variables influenced by near-surface factors. …”
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Fertilization Improves the Yield of <i>Sapindus saponaria</i> by Affecting Leaf–Soil–Microbial C–N–P Content and Stoichiometry by Juntao Liu, Hongbing Yang, Ling Zhou, Shangpeng Zhang, Jie Chen, Xu Wang, Shixiong Wu, Yingyun Gong, Guoqing Zhang, Weihua Zhang, Liming Jia

“…Redundancy Analysis (RDA), Partial Least Squares Path Modeling (PLS–PM), and the entropy-weighted technique of ranking preferences by similarity to optimal solutions (TOPSIS) were utilized to assess the relationships among variables and determine optimal fertilization strategies. …”
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Stability and Selective Harvesting of a Phytoplankton-Zooplankton System by Yong Wang, Hongbin Wang

“…The problem of determining the optimal harvest policy is solved by using Pontryagin's maximum principle subject to the state equations and the control constraints, and the impact of tax is also discussed. …”
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A YOLO11-Based Method for Segmenting Secondary Phases in Cu-Fe Alloy Microstructures by Qingxiu Jing, Ruiyang Wu, Zhicong Zhang, Yong Li, Qiqi Chang, Weihui Liu, Xiaodong Huang

“…Additionally, a quantitative analysis software system for secondary phase uniformity based on this model provides strong technical support for automated metallographic image analysis and demonstrates broad application prospects in materials science research and industrial quality control.…”
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Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction by Xinwei Wan, Dan Li, Fanqiang Kong, Yanyan Lv, Qiang Wang

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Evaluasi Kinerja Aplikasi Penelusuran Online Cerah Informasi Pustaka (CIP) Perpustakaan Universitas Tridinanti Palembang Berdasarkan Persepsi Pustakwan by Rusmiatiningsih Rusmiatiningsih, Indah Solehati, Sagiman Sagiman, Marleni Marleni

“…The evaluation model used is the PIECES evaluation model by making a questionnaire based on 6 variables, namely Performance, Information, Economy, Control, Efficiency and Service and each variable is made into indicators. …”
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