Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang

“…This paper proposes a method for monitoring and analyzing driver physiological characteristics by combining electronic vehicle identification (EVI) with multimodal biometric recognition. …”
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Sensor Fault Detection and Diagnosis of Air-conditioning System Based on Improved Principal Component Analysis Method by Zhang Shuangshuang, Chen Huanxin, Zhang Hongtao, Guo Yabin

“…In this study, an improved principal component analysis method combining wavelet transform data optimization and neural network-based fault diagnosis optimization is proposed for the sensor fault detection and diagnosis in an air-conditioning system. …”
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Barriers and facilitators to the implementation of guidelines for venous thromboembolism prevention and management: A mixed-methods systematic review by Mengbo Han, Jingying Huang, Jin Yang, Jiaojiao Chen, Haiou Qi

“…The Mixed Methods Appraisal Tool was used for critical appraisal. …”
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Carbon Footprint Assessment in Shrimp Pond Farming of Penaeus vannamei Based on Life Cycle Assessment Methods by Yunfei WANG, Xinmeng WANG, Ying LI, Jinzhen YU, Jie KONG, Jihong ZHANG

“…The predominant farming methods of P. vannamei in China include factory farming, semi-intensive ponds, small-shed cultures, and pond aquaculture. …”
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Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

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Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

“…Review methods Systematic review and meta-analysis for diagnostic accuracy. …”
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Assessment and enhancement of transfer capability for large-scale renewable generation base transmitted by voltage source converter based high voltage direct current system by Shiyuan Chen, Shunjiang Lin, Yuerong Yang, Kaiyun Jiang, Mingbo Liu

“…Voltage source converter based high voltage direct current transmission is a key method for transmitting large-scale renewable energy generation. …”
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An Integrated Experimental-Simulation Calibration Method for the Constitutive Model of 6005A-T6 Aluminum Alloy Welds by Yu Zhu, Lele Zhang, Weiyuan Dou, Wen Liu

“…Additionally, the adaptability of the constitutive model to the calibration method and the influence of optimization results are discussed and analyzed. …”
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Review and Prospect of Modeling Method and Application Scenarios of Virtual Energy Storage under Integrated Energy System by Juan SU, Tuo LI, Junwei LIU, Yue XIA, Songhuai DU

“…Considering the diversity and complexity of energy devices and networks, as well as the disparity in energy time scales, the source, grid and load with adjustable characteristics within the system are modeled as storage elements using energy balance principles, and a virtual energy storage system is constructed with them, which is incorporated into the optimization and scheduling of the IES. …”
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Data-driven modelling method and application based on energy multi-layer network structure of energy hub by Qingsen Cai, Luochang Wu, Chunyang Gao

“…Conventional modelling methods often treat energy sources separately, failing to capture the full dynamic interactions and operational complexities. …”
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Proposing an Adaptive Neuro-Fuzzy System-Based Swarm Concept Method for Predicting the Physical Properties of Nanofluids by Gong Han, Amir Seraj

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A construction method of a multidimensional and multilingual association network for earth surface system science data by Qinjun Qiu, Mengqi Hao, Liufeng Tao, Jiandong Liu, Weijie Li, Yang Wang, Zhong Xie

“…We obtained metadata from several authoritative sources, including NESSDC, NASA, and Data.gov, and performed association calculations, constructed multidimensional association networks, and evaluated them for optimization. …”
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A numerical method for solving ill-posed problems for two-dimensional integral equations of the first kind by Igor Eduardovich Naats, Victoria Igorevna Naats, Roman Andreevich Ryskalenko

“…The paper describes the formulation of the problem, highlighting the existing problems that need to be resolved, developed and validated a suitable numerical method. It uses the theoretical bases and methods of functional analysis, computational mathematics, theory of solution of incorrectly formulated problems of the theory of calculus of variations and optimization methods. …”
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Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey by Feyza Nur Çakıcı, Suleyman Sungur Tezcan, Hıdır Düzkaya

“…The hyper-parameters of the models are adjusted using the Bayesian Optimization (BO) method. The performance of monthly hydroelectric power prediction models is assessed using metrics such as correlation coefficient (R), root mean square error (RMSE), and mean absolute error (MAE). …”
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Resilience‐oriented load restoration method for power‐gas‐water systems considering public safety impact by Haiyang Wan, Wenxia Liu, Shuai Zhang, Qingxin Shi, Rui Cheng, Wei Feng

“…With the objective of minimizing the public safety and economic impact of disasters, the optimal multi‐source collaborative emergency restoration strategy is developed. …”
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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…Finally, combined with examples, the 3D visualization health condition monitoring system of the anchor digging machine was developed, which realized the data mapping between the integrated coal mining working face and the 3D visualization model and verified the correctness and feasibility of the method proposed in this study.Results and DiscussionsFor the performance validation experiments of the SDAE‒DT Net model, the sensitivity analysis experiments for PSO hyperparameter optimization showed that the best results were achieved when the population size and inertia factor were 40 and 0.5, respectively. …”
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Audio recognition method of belt conveyor roller fault based on convolutional neural network and linear regression by Xiangyuan CHEN, Wei QIN, Yanchi LIU, Minghua LUO

“…Based on the wavelet autocorrelation denoising technology, the sound is preprocessed to suppress the background noise signal in the audio signal and optimize the data quality. Secondly, using the voiceprint spectrum separation technology, the HPSS (Harmonic Percussive Source Separation) method is used to separate the harmonic and shock wave components to enhance the sound signal characteristics of the roller fault. …”
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Soft sensor modeling method for Pichia pastoris fermentation process based on substructure domain transfer learning by Bo Wang, Jun Wei, Le Zhang, Hui Jiang, Cheng Jin, Shaowen Huang

“…Secondly, the optimal subspace domain adaptation method integrating multiple metrics is used to obtain the optimal projection matrices $${{W}_{s}}$$ W s and $${{W}_{t}}$$ W t that are coupled with each other, and the data of source and target domains are projected to the corresponding subspace to perform spatial alignment, so as to reduce the discrepancy between the sample data of different working conditions. …”
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Holistic assessment methodology for Positive Energy Districts by Jakub Kvasnica, Kateřina Válková

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Improving Compressed Sensing Image Reconstruction Based on Atmospheric Modulation Using the Distributed Cumulative Synthesis Method by Xuelin Lei, Xiaoshan Ma, Zhen Yang, Xiaodong Peng, Li Yun, Mengyuan Zhao, Mingrui Fan

“…Noise analysis shows that the proposed method has better anti-noise performance than the single light source imaging method.…”
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