Fast Quality Detection of <i>Astragalus</i> Slices Using FA-SD-YOLO by Fan Zhao, Jiawei Zhang, Qiang Liu, Chen Liang, Song Zhang, Mingbao Li

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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…Finally, the advantages of dual-brain synergy were emphasized and three fusion methods for modeling were proposed , aiming to enhance the effectiveness of solutions for constructing intelligent complex systems. …”
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Short-Term Scheduling of Pump Station-integrated Cascade Hybrid Pumped Storage Systems by QIAN Jun, TAN Qiaofeng, WEN Xin, ZHENG Mingfen, SHEN Yanqing

“…The traditional step-by-step optimization algorithm was improved to solve this model. …”
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Enhancing the Cellular Robustness of Cyanobacteria to Improve the Stability and Efficiency of Bio-Photovoltaics by Xiangyi Yuan, Xuejing Xu, Xuemin Gao, Xiangxiao Liu, Bo Liang, Guodong Luan, Xuefeng Lu

“…This study took an important cyanobacteria chassis strain, <i>Synechococ elongatus</i> PCC 7942, as the model organism and explored the impact of physiological robustness optimization on its performance as a bio-photovoltaic functional unit. …”
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Hair growth-promoting effects of Stellera chamaejasme L. extract on C57BL/6 mice via induction of anagen phase genes by Jin-Woo Kim, Banzragch Dorjsembe, Chu Won Nho, Pahn-Shick Chang, Jin-Chul Kim

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An XGBoost-SHAP framework for identifying key drivers of urban flooding and developing targeted mitigation strategies by Xiaoping Fu, Mo Wang, Dongqing Zhang, Furong Chen, Xiaotao Peng, Lie Wang, Soon Keat Tan

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Dissipative Magneto-thermo-convection of Nanofluid Past through a Semi-infinite Vertical Surface with Ohmic Heating by Asra Anjum, Shaik Abdul Gaffar, Sateesh Kumar, Samdani Peerusab

“…This current study has practical implications for enhancing the design and optimization of cooling systems, electronic thermal management, and energy systems, where precise thermal control and efficient heat transfer are critical. …”
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A Method for Estimating Instantaneous Predicted Mean Vote Under Dynamic Conditions by Accounting for Thermal Inertia by László Lenkovics, László Budulski, Gábor Loch, Anett Tímea Grozdics, Ágnes Borsos, Zsolt Kisander, János Girán, Mária Eördöghné Miklós, Balázs Cakó

“…We collected experimental data using a thermal comfort measurement station, a thermal manikin, and human subjects in a controlled climate chamber. The proposed method enables real-time evaluation of thermal comfort in dynamic environments and offers a foundation for integration into HVAC control and comfort optimization systems.…”
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Research on Hybrid Architecture Neural Networks for Time Series Prediction by Fujin Zhuang, Xiao Chen, Punyaphol Horata, Khamron Sunat

“…Therefore, the AdamW optimizer with an adaptive learning rate adjustment strategy was adopted for model training. …”
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Towards a Universal Security Framework for Darknet Suppression: Conceptual Foundations and Future Prospects by Cheng HUANG, Jianwei DING, Jiapeng ZHAO, Zhouguo CHEN, Jinqiao SHI

“…These approaches address the challenge of quantifying darknet suppressibility, which remains complicated by diverse network structures and dynamic communication behaviors. 2) Proposing a real-time lightweight traffic detection method based on solving convex optimization problems. This involves constructing a small flow sampling model based on self-similarity associations and a darknet traffic identification and service classification model using Gaussian kernel functions and multimodal optimization. …”
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Dynamics of a Flat Rigid Body on a Horizontal Plane by A. I. Munitsyn, V. E. Tsoy

“…The following cases have been studied quite well: movement during interaction of a solid body with a reference plane and in aggressive environments; vibratory displacement of bulk media and solids on a vibrating base; optimization of rigid body motion; variation of average speed and acceleration at different intervals of motion; dependence of average speed on task parameters; control of the motion speed of the internal mass for the fastest possible rotation of a rigid body. …”
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An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis by Yao Zhang, Xu Wang, Haohua Xiu, Wei Chen, Yongxin Ma, Guowu Wei, Lei Ren, Luquan Ren

“…These promising findings highlight the potential of onboard real-time recognition of continuous locomotion modes based on our model for the high-level control of powered knee prostheses.…”
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Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

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Research and application of new fast self-healing technology of distribution network based on line topology and beat frequency attenuation by Wei Wang, Kai Zhang, Shixuan Lv, Zhihong Zheng, Guanliang Li, Lu Bai

“…The node identification is uniformly defined, and the electrical topology of the distribution network is represented using an equivalent topology diagram, enabling the construction of a multi-objective optimization model for network reconfiguration. The characteristics of low-frequency natural vibration components are analyzed, and a positive-sequence component control strategy is employed to regulate the output current of inverter-interfaced distributed generation (IIDG). …”
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Predicting Individual Survival after Curative Esophagectomy for Squamous Cell Carcinoma of Esophageal by Zhiyong Zhao, Xiaolong Huang, Ting Gu, Zhu Chen, Limin Gan, Biao Zhu, Ning Wu

“…Further studies may help to extend the validation of this method and improve the model through parameter optimization.…”
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Digital Footprint as a Source of Big Data in Education by T. M. Shamsutdinova

“…The use of big data in education includes the following points: personalization of e-learning, issuance of personalized recommendations; data analytics; assessment and feedback; predicting student success; monitoring the quality of education; creation of a learner model; development of curricula based on employer requests; development of new educational programs; emergence of new learning models; improvement of university management processes; improvement of the work of the admissions office; modernization of software and hardware teaching aids; optimization of the teaching staff. …”
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Novel Recurrent neural networks for efficient heat transfer analysis in radiative moving porous triangular fin with heat generation by Sana Ullah Saqib, Umar Farooq, Nahid Fatima, Yin-Tzer Shih, Ahmed Mir, Lioua Kolsi

“…Then, the RNN supervised computational technique is applied to the generated datasets and the RNN outputs show negligible errors and closely align with numerical observations for all model variant. The effectiveness of Recurrent Neural Networks (RNNs) is rigorously proved through extensive experiments, demonstrating iterative convergence curves for mean squared error, control metrics of optimization and error distribution via histograms.The mean absolute percent error (MAPE), mean absolute error (MAE), and Nash-Sutcliffe efficiency (NSE) are all nearly zero, while the coefficient of determination (R2) is close to 1.Furthermore, there is strong evidence of the prediction accuracy and dependability of the RNN in the regression results for the HTMPTHG model.…”
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Recipe Based Anomaly Detection with Adaptable Learning: Implications on Sustainable Smart Manufacturing by Junhee Lee, Jaeseok Jang, Qing Tang, Hail Jung

“…The advent of Industry 4.0 has significantly transformed the manufacturing sector, bringing advancements in quality control efficiency, environmental sustainability, and production development. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…The digital twin (DT) concept has recently gained widespread application for mapping the state of physical entities, enabling real-time analysis, prediction, and optimization, thereby enhancing the management and control of physical systems. …”
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Prediction of copper contamination in soil across EU using spectroscopy and machine learning: Handling class imbalance problem by Chongchong Qi, Nana Zhou, Tao Hu, Mengting Wu, Qiusong Chen, Han Wang, Kejing Zhang, Zhang Lin

“…This study underscores the utility of the optimized model for managing soil Cu pollution and provides a valuable reference for addressing imbalanced learning challenges in soil pollution research.…”
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