Fault Diagnosis and Data Reconstruction of Temperature Sensors for Wind Turbine Stator Winding by Ling Zhou, Qiancheng Zhao, Jinhui Zeng, Anfeng Zhu, Xiafei Long, Ling He

“…The method combines supervisory control and data acquisition (SCADA) with an improved firefly sparrow search algorithm (FISSA)–optimized deep belief network (DBN). …”
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Analysis of Technological Innovation and Competitive Advantage in New Energy Vehicle Industry: BYD as an Example by Zhu Lingjie

“…By combining proprietary technologies such as hybrid systems and electric platforms with capital optimization strategies, BYD demonstrates a sustainable model for market leadership. …”
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Human impedance modulation to improve visuo-haptic perception. by Xiaoxiao Cheng, Shixian Shen, Ekaterina Ivanova, Gerolamo Carboni, Atsushi Takagi, Etienne Burdet

“…This optimal information and effort (OIE) model can explain the adaptation of muscle activity to unimodal and multimodal sensory information when interacting with fixed or dynamic environments, or with another human, and can be used to optimize human-robot interaction.…”
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RFID Application of Smart Grid for Asset Management by Xiwei Wang, Qi Dang, Jinglin Guo, Hongbin Ge

“…Micromanagement environment of the assets is a useful practice for the RFID and positioning. In this paper, the model for RFID applications has been analyzed in the microenvironment management of the data center and electric vehicle batteries, and the optimization scheme of enterprise asset management is also proposed.…”
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Reliability Allocation Method for Electric Aircraft Lightweight Propulsion System by LI Jinghao, LI Ran, HUA Hao, HUANG Wentao, GAO Fei, TAI Nengling

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The use of artificial intelligence in stereotactic ablative body radiotherapy for hepatocellular carcinoma by Atsuto Katano

“…This review summarizes recent advances in AI applications across the SABR workflow, including automated contouring, knowledge-based planning, fluence prediction via deep learning, respiratory motion modeling, liver function estimation, and prognostic modeling. …”
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Incentive Scheme for Low-Carbon Travel Based on the Public–Private Partnership by Yingtian Zhang, Gege Jiang, Anqi Chen

“…A two-layer multi-objective optimization model is proposed, which includes travel time, monetary cost, and emission. …”
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An effective method for the abnormal monitoring of stage performance based on visual sensor network by Fuquan Zhang, Gangyi Ding, Lin Xu, Bo Chen, Zuoyong Li

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Research on data completion and generation of downhole drilling tool attitude based on Long Short-Term Memory neural networks by Qiwei Liu, Fanmin Kong, Xiaolong Chen, Kang Li

“…Abstract This study addresses the critical challenge of incomplete downhole drilling tool attitude data in rotary steerable drilling systems, a significant issue impacting drilling trajectory control, efficiency, and safety. Attitude data loss often occurs due to sensor malfunctions, communication errors, and harsh drilling environments, posing risks to accurate geological modeling and decision-making. …”
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Numerical Simulation of Fluid Flow, Heat Transfer, and Solidification in AISI 304 Stainless Steel Twin-Roll Strip Casting by Jingzhou Lu, Wanlin Wang, Kun Dou

“…In terms of mesoscopic solidification structure, low superheat promoted the formation of coarse columnar crystals (equiaxed crystals accounted for 8.9%), while high superheat promoted the formation of equiaxed nucleation (26.5%). The model can be used to assist in the setting of process parameters and process optimization for twin-roll strip casting.…”
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Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry by Mohd Yusop Nurida, Dolmat Norfadilah, Mohd Rozaiddin Siti Aishah, Chan Zhe Phak, Syafiqa M. Saleh

“…The analytical methods for the determination of the amine solvent properties do not provide input data for real-time process control and optimization and are labor-intensive, time-consuming, and impractical for studies of dynamic changes in a process. …”
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Data-Driven Proactive Early Warning of Grid Congestion Probability Based on Multiple Time Scales by Haobo Fu, Ruizhuo Wang, Bingxu Zhai, Yuanzhuo Li, Pengyuan Li, Rui Zhang, Haoyuan He, Siyang Liao

“…First, a multi-stage joint optimization feature selection model is constructed to capture the 12 feature sets that are most conducive to grid congestion warning from the massive grid history data containing 622 features. …”
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Designing a Sustainable Supply Chain Network for Perishable Products Integrating Internet of Things and Mixed Fleets by Lihong Pan, Xialian Li, Miyuan Shan

“…While previous studies have explored the application of IoT to enhance delivery efficiency and the use of mixed fleets to address environmental concerns, few have examined both technologies within a unified modeling framework. This study proposes a sustainable multi-period supply chain network for perishable products that integrates IoT technology and mixed fleets into an optimization framework. …”
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Inversion of soil salinization at the branch canal scale in the Hetao Irrigation District based on improved spectral indices by Yi Zhao, Qingfeng Miao, Haibin Shi, Xianyue Li, Jianwen Yan, Shuya Yang, Cong Hou, Cuicui Yu, Weiying Feng, Jiannan Hao

“…The red-edge band and short-wave infrared band are innovatively integrated into the traditional spectral indices for systematic improvement, and the optimal total soil salinity inversion model is constructed through the optimization strategy of different combinations of multiple bands, which effectively enhances the accuracy of soil salinity inversion. …”
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Survey on Optical Wireless Communication with Intelligent Reflecting Surfaces by Chengwei Fang, Shuo Li, Yinong Wang, Ke Wang

“…Furthermore, we delve into modeling approaches of mirror array-based IRSs in OWC and analyze recent advances in IRS control, which are classified into system power or gain optimization-oriented, system link reliability optimization-oriented, system data rate optimization-oriented, system security optimization-oriented, and system energy optimization-oriented approaches. …”
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A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm by Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li

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Research on the impact of hospital organizational behavior on physicians'patient-centered care by Pengwei Zhang, Haotong Zhang, Angyang Wang

“…Abstract Objectives This study seeks to examine the impact of hospital organizational behavior on Physicians' Patient-centered care and aims to offer innovative insights and strategies for enhancing the quality of healthcare services. Methods A conceptual model was developed based on organizational behavior theory. …”
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Enabling clinical use of linear energy transfer in proton therapy for head and neck cancer – A review of implications for treatment planning and adverse events study by Chen Jingyuan, Yang Yunze, Feng Hongying, Liu Chenbin, Zhang Lian, Holmes Jason M., Liu Zhengliang, Lin Haibo, Liu Tianming, Simone Charles B., Lee Nancy Y., Frank Steven J., Ma Daniel J., Patel Samir H., Liu Wei

“…This review examines recent advancements in LET calculation methods, including analytical models and Monte Carlo simulations. The integration of LET into plan evaluation is assessed to enhance plan quality control. …”
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Adaptive SDN switch migration mechanism based on coalitional game by Lan YAO, Julong LAN

“…The problem of poor control plane performance causes in software-defined Networking due to the unreasonable mapping relationship between controllers and switches.To address this issue,an adaptive switch migration mechanism based on coalitional game was proposed.First,comprehensively considering the controller resource utilization,control overhead,and flow establishment time,the switch migration problem was modeled as a combination optimization problem.Then,a game theory was introduced to design a distributed algorithm,where each controller ran control logic independently and implemented coalitional game between controllers to achieve an adaptive switch migration mechanism that adapted to traffic characteristics.The simulation results show that the proposed mechanism can better adapt to the flow characteristics,reduce the control traffic overhead by about 19% and the average flow settling time by 30%,and improve the controller resource utilization.…”
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A Modified Dai–Liao Conjugate Gradient Method Based on a Scalar Matrix Approximation of Hessian and Its Application by Branislav Ivanov, Gradimir V. Milovanović, Predrag S. Stanimirović, Aliyu Muhammed Awwal, Lev A. Kazakovtsev, Vladimir N. Krutikov

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