Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN by Lei Chen, Jun Wang, Zhang Sun, Tao Huang, Fan Wu

“…Furthermore, in order to overcome the drawback that too frequent conversion of unit operating mode would reduce the service life and smoothing effect of the VSPSS unit, the optimization model of the base power of the VSPSS is established and solved by the grid adaptive direct search method (MADS) to obtain the control signal of the VSPSS for suppressing the short-term fluctuations of the PV output. …”
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A Digital Twin-Based Platform for Medical Cyber-Physical Systems by Messaoud Rahim, Wassila Lalouani, Elbahi Toubal, Lloyd Emokpae

“…Leveraging Digital Twins technology, DT-MCPS constructs a virtual replica of the hospital, facilitating precise control and supervision of patient care, coupled with service optimization through comprehensive data integration. …”
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Research on power system transformation based on edge node technology under the background of carbon neutrality by LI Jin, GAO Hongliang, LIU Kemeng, XIE Hu

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Evaluation of Dynamic Visual Perception of Riverside Interface in Mountainous Cities from the Perspective of Boating by Dan LUO, Ruhong WEI

“…They enable the line of sight to penetrate into more urban space and enrich the changes of architectural level.ConclusionBased on what mentioned above and in combination with the current spatial situation and perception patterns, an overall optimization strategy for readability is proposed from the two aspects of rhythm control and feature optimization. …”
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Solid Oxide Fuel Cell Voltage Prediction by a Data-Driven Approach by Hristo Ivanov Beloev, Stanislav Radikovich Saitov, Antonina Andreevna Filimonova, Natalia Dmitrievna Chichirova, Egor Sergeevich Mayorov, Oleg Evgenievich Babikov, Iliya Krastev Iliev

“…White box and gray box models are unable to achieve real-time optimization of control parameters. …”
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Coordinated Jamming and Poisoning Attack Detection and Mitigation in Wireless Federated Learning Networks by Sofia Barkatsa, Maria Diamanti, Panagiotis Charatsaris, Stefanos Voikos, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

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Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

“…In contrast, Deep Neural Network (DNN) models showed significant improvements with optimization, with DNN combined with GS (DNN-GS) reaching 89% accuracy. …”
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From In Vivo Predictive Dissolution to Virtual Bioequivalence: A GastroPlus^®-Driven Framework for Generic Candesartan Cilexetil Tablets by Hao Ruan, Xiaoting Geng, Zijing Situ, Qian Shen, Tianjian Ye, Xin Chen, Weike Su

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Adaptive Real-Time Channel Estimation and Parameter Adjustment for LoRa Networks in Dynamic IoT Environments by Fatimah Alghamdi, Fuad Bajaber

“…Subsequently, a multi-task long short-term memory (LSTM) neural network is introduced for the simultaneous prediction of multiple channel states. This multi-task model employs an online incremental learning approach to enhance the real-time performance and responsiveness of the model within dynamic environments. …”
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Integrating Tiny Machine Learning and Edge Computing for Real-Time Object Recognition in Industrial Robotic Arms by Nian-Ze Hu, Bo-An Lin, Yen-Yu Wu, Hao-Lun Huang, You-Xin Lin, Chih-Chen Lin, Po-Han Lu

“…The developed system in this study included the SparkFun Edge development board and Raspberry Pi Camera Module 3, as edge devices for data processing, image recognition, and robotic arm control. By utilizing the Edge Impulse platform for data collection, model training, and optimization, edge devices and models for use in resource-limited environments were successfully generated. …”
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Tension Characteristics Analysis of Scraper Chain of Heavy-Duty Scraper Conveyor with Time-Varying Loads by Shuai Li, Zhencai Zhu, Hao Lu, Yujun Xue

“…Finally, the validity of the scraper conveyor dynamic model is verified by the example analysis and field measurement experiment. …”
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Smart Contract Security in Decentralized Finance: Enhancing Vulnerability Detection with Reinforcement Learning by Jose Juan de Leon, Cenchuan Zhang, Christos-Spyridon Koulouris, Francesca Medda, Rahul

“…This approach utilizes control flow graphs (CFGs) generated through EtherSolve to capture the semantic features of contract bytecode, enabling the reinforcement learning models to recognize patterns and make more accurate predictions. …”
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Research on the acquisition and identification methods of critical microscopic quality characteristics in the manufacturing process by Zhongyi Wu, Zhenyang Xu, Cheng Liang, Kan Lv, Bin Qin

“…This paper, based on manufacturing process unit information, mines the systematic information of the process unit through the process constituent elements model and also constructs the feature thesaurus of different process domains by using the Function-Principle-Behaviour-Structure-Resource-Environment (FPBSRE) model. …”
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Key considerations based on pharmacokinetic/pharmacodynamic in the design of antibody-drug conjugates by Yangyang Gao, Yuwei Xia, Yixin Chen, Shiqi Zhou, Yingying Fang, Jieru Yu, Leyin Zhang, Leyin Zhang, Leitao Sun, Leitao Sun, Leitao Sun

“…In addition, we investigated the strategies to solve the prominent problems of ADC in the clinic in recent years, and summarized and evaluated the specific ways to optimize various problems of ADC based on the PK/PD model from two perspectives of optimizing the structure and properties of the drugs themselves. …”
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Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries by Jutarut Chaoraingern, Arjin Numsomran

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Kronecker convolutional feature pyramid for fault diagnosis in rolling bearings by Sadia Batool, Abbas Ali Abid, Muhammad Asif, Sagheer Abbas, Khan Muhammad Adnan, Asghar Ali Shah, Taher M. Ghazal

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Deep‐HH: A deep learning‐based high school student hidden hunger risk prediction system by Yang Yang, Zheng Zhang, Huake Cao, Yuchen Zhang, Minao Wang, Ning Zhang

“…After quality control, we designated 632 students from Xuancheng City as the external test cohort and used the remaining 6477 students as the training cohort to develop predictive models. …”
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Calibration and Uncertainty Analysis of Freundlich and Langmuir Isotherms Using the Markov Chain Monte Carlo (MCMC) Approach by Haniyeh Sharifi Moghadam, Saeed Alimohammadi

“…First, their parameters were estimated and calibrated using a simple optimization model. To analyze parameter uncertainty, a Bayesian approach employing the Markov Chain Monte Carlo method was adopted, utilizing the Metropolis-Hastings and Gibbs algorithms, and the results were compared. …”
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Study on a cable jumper method for offshore floating photovoltaic systems with multiple floating bodies by Xiangyu KONG, Yangping SHAO, Qiang FU, Lujie YU, Hongbin LIU

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Research on wind temperature prediction of tunneling working site based on PSO−SVR by Yanhe LI, Zhijun WAN, Zhenzi YU, Hong GOU, Wanli ZHAO, Jiale ZHOU, Peng SHI, Zheng ZHEN, Yuan ZHANG

“…The airflow temperature prediction model of the tunnelling working site based on PSO-SVR was established, and the model was optimized by using the penalty factor C and kernel function parameter g in the model. …”
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