Dam Deformation Data Preprocessing with Optimized Variational Mode Decomposition and Kernel Density Estimation by Siyu Chen, Chaoning Lin, Yanchang Gu, Jinbao Sheng, Mohammad Amin Hariri-Ardebili

“…Finally, KDE thresholds are applied for outlier localization, while a data superposition method ensures effective denoising. …”
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Design of Hybrid Renewable Energy Systems: Integrating Multi‐Objective Optimization Into a Multi‐Criteria Decision‐Making Framework by Tebello Ntsiki Don Mathaba, Khaled Abo‐Al‐Ez

“…A combination of the MO particle swarm optimization and a newly developed MO leaders‐and‐follower algorithms (MO‐LaF/PSO) is used to generate optimal configurations based on minimal levelized cost of energy (LCOE), renewable energy (RE) power abandonment, and CO2 emissions, while maintaining an acceptable level of reliability. …”
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Combined digital media technology and advanced computing science in folk art design application by Xingxing Fu

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Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades by Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi

“…Then, by defining eight variables, an attempt was made to optimize the design. The genetic algorithm was used as the optimization algorithm in this process. …”
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A multi-objective optimization framework based on information sharing for serially connected robot design by Jiliang Zhao, Wei Peng, Handing Wang, Wen Yao

“…Experimental results show that the proposed algorithm outperforms the other design algorithm in most tasks. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
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Levenberg-Marquardt Algorithm-Based Neural Network Smart Control Strategy for a Low-Input Current Ripple and High-Voltage Gain Power Converter in Fuel-Cells Energy Systems by Mustafa Ozden, Davut Ertekin, Pierluigi Siano

“…A crucial aspect of DC-DC converters employed in renewable energy sources such as fuel cells is their ability to exhibit substantial increases in DC voltage and maintain an efficient structure while minimizing input current ripple. These factors play a pivotal role in enhancing the longevity of these energy sources and ensuring their compatibility with high-voltage AC and DC grids. …”
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Optimizing wireless sensor network topology with node load consideration by Ruizhi Chen

“…Methods: To improve the overall performance and efficiency of wireless sensor networks, a new method for optimizing the wireless sensor network topology based on K-means clustering and firefly algorithms is proposed. The K-means clustering algorithm partitions nodes by minimizing the within-cluster variance, while the firefly algorithm is an optimization algorithm based on swarm intelligence that simulates the flashing interaction between fireflies to guide the search process. …”
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Spiking Cooperative Network Implemented on FPGA for Real-Time Event-Based Stereo System by Jung-Gyun Kim, Donghwan Seo, Byung-Geun Lee

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Deploying Android-Based Smart RSUs with YOLOv8 and SAHI for Enhanced Traffic Management by Mohammed F. Rashad, Qutaiba I. Ali

“…The system leverages the You Only Look Once, version 8 (YOLOv8) model, enhanced with the Slicing Aided Hyper Inference (SAHI) algorithm to improve detection accuracy for small and distant objects. …”
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An overview of distributed economic dispatch of microgrids: advances and challenges by Lei Sun, Wenjing An, Yangkai Chen, Peifeng Zhao, Derui Ding

“…Economic dispatch (ED) is necessary to achieve optimal power allocation while meeting practical physical constraints and ensuring economic benefits and production safety. …”
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An extension of the Spiegelhalter-Knill-Jones method for continuous covariates in clinical decision making by Bart K. M. Jacobs, Tafadzwa Maseko, Lutgarde Lynen, Aquiles Rodrigo Henriquez-Trujillo, Jozefien Buyze

“…Abstract Background There is still demand for algorithms that can be used at the point of care, especially when dealing with events that do not present with a single obvious clinical indicator. …”
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Mixed Multi-Strategy Improved Aquila Optimizer and Its Application in Path Planning by Tianyue Bao, Jiaxin Zhao, Yanchang Liu, Xusheng Guo, Tianshuo Chen

“…Traditional Aquila Optimizers, while effective, face limitations such as uneven population initialization, a tendency to get trapped in local optima, and slow convergence rates. …”
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SH-SDS: a new static-dynamic strategy for substation host security detection by Yang Diao, Hui Chen, Wei Liu, Abdur Rasool

“…Based on this, we develop strategy generation algorithm to match the list of host detection projects to obtain the security detection strategy of the target host. …”
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Dynamic Modeling and Parameter Optimization of Potato Harvester Under Multi-Source Excitation by Jianguo Meng, Zhipeng Li, Zheng Li, Yanzhou Li, Wenxia Xie

“…On this basis, the Bayesian optimization algorithm was used to obtain optimal connection parameters. …”
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Blockchain-Based Reputation and Trust Management for Smart Grids, Healthcare, and Transportation: A Review by Abir Raza, Elarbi Badidi, Mohammad Hayajneh, Ezedin Barka, Omar El Harrouss

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Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning by Jiandong Liu, Wei Luo, Guoqing Zhang, Ruihao Li

“…Compared to DQN, dueling DQN, M-DQN, improved Q-learning, DDM-DQN, EPF (enhanced potential field), APF-DQN, and L1-MBRL, our algorithm achieves the highest success rate of 77.67%, while also having the lowest average number of moving steps. …”
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Photovoltaic Module Fault Detection Technology Based on Remote Sensing Technology and Deeplabv3+ Model by Xiaowei Xu, Mingxian Liu, Yongjie Nie, Ke Wang, Wenhua Xu

“…The research results indicated that bilateral filtering and gamma filtering algorithms showed superior performance in testing, with the highest indicator evaluation results. …”
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A Background Jitter Calibration for ADCs Using TDC Phase Information From ADPLL by Haoyang Shen, Hao Zheng, Daniel O'Hare, Deepu John, Barry Cardiff

“…We propose a background all-digital algorithm to address this challenge. The least-square jitter estimation algorithm uses the TDC phase information to detect instantaneous sampling error and a Taylor-based correction is used to perform ADC post-correction. …”
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An adaptive transition probability matrix with quality seeds for cellular automata models by Youcheng Song, Xu Hongtao, Haijun Wang, Ziyang Zhu, Xinyi Kang, Xiaoxu Cao, Zhang Bin, Haoran Zeng

“…Addressing this gap, our research introduces the adaptive transition probability matrix with quality seeds (ATPMS) model, which incorporates both the Markov model and the genetic algorithm (GA) into the traditional CA framework. Furthermore, an artificial neural network (ANN) is utilized to determine land suitability. …”
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