Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model by GAO Xuning, YANG Song, LI Mingzhe, ZHANG Yanfeng

“…In addition, the multi-feature fusion and feature selection method is proposed to enhance the query cost information. The scheduling framework and optimization algorithm achieve significant performance improvement on SSB and TPC-DS datasets. …”
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A Global Path Planning Algorithm Based on Bidirectional SVGA by Taizhi Lv, Chunxia Zhao, Jiancheng Bao

“…This algorithm does not construct a visibility graph before the path optimization. …”
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Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization by Vasileios Charilogis, Ioannis G. Tsoulos, Anna Maria Gianni

“…In this study, a combination of termination criteria is proposed, utilizing three different criteria to end the algorithmic process. These criteria include measuring the difference between optimal values in successive iterations, calculating the mean value of the cost function in each iteration, and the so-called “DoubleBox” criterion, which is based on the relative variance of the best value of the objective cost function over a specific number of iterations. …”
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Research on SBMPC Algorithm for Path Planning of Rescue and Detection Robot by Lin-Lin Wang, Li-Xin Pan

“…Sampling-Based Model Predictive Control (SBMPC) algorithm is proposed basing on the construction of cost function and predictive kinematics model. …”
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Blockchain smart contract vulnerability detection based on GR algorithm by WANG Deguang, SHAN Mengtao, LI Fengqi, TONG Ning

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Hybrid Adaptive Sheep Flock Optimization and Gradient Descent Optimization for Energy Management in a Grid-Connected Microgrid by Sri Harish Nandigam, Krishna Mohan Reddy Pothireddy, K. Nageswara Rao, Surender Reddy Salkuti

“…Results demonstrate the efficiency of the proposed hybrid algorithm, achieving substantial improvements in energy efficiency and cost reduction compared to traditional methods like interior point optimization, gradient descent, branch and bound, and a population-based algorithm named Golden Jackal optimization. …”
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MGL-YOLO: A Lightweight Barcode Target Detection Algorithm by Yuanhao Qu, Fengshou Zhang

“…To address this issue, this paper proposes MGL-YOLO, a lightweight one-dimensional barcode detection network based on an improved YOLOv8, which aims to achieve a high detection accuracy at low computational cost. …”
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Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

“…These findings not only underscore the superiority of the algorithm but also highlight its potential to revolutionize liver cirrhosis diagnosis and management practices, potentially leading to improved patient outcomes and reduced healthcare costs. …”
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Multiobjective Optimized Routing Protocol for VANETs by Taqwa O. Fahad, Abduladhem A. Ali

“…Fuzzy controllers were employed to assess routes’ costs and their lifetimes. Furthermore, artificial bee colony (ABC) algorithm was used to concurrently optimize all used fuzzy systems and obtain the optimal highest rank of links’ cost values within which the neighbors could be selected as relay nodes in route discovery process. …”
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Advances in Digital Signature Algorithms: Performance, Security and Future Prospects by Lyu Shuhan

“…The results show that while optimizations improve computational efficiency, challenges persist, especially with potential quantum threats that could undermine these algorithms' security. …”
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Classification of Real-World Objects Using Supervised ML-Assisted Polarimetry: Cost/Benefit Analysis by Rui M. S. Pereira, Filipe Oliveira, Nazar Romanyshyn, Irene Estevez, Joel Borges, Stephane Clain, Mikhail I. Vasilevskiy

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Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

“…In addition, The Newton-Raphson Method (NRM) hybrid with meta-heuristic algorithms, or MOAs, is used to improve solution estimates, accelerate convergence rates, reduce computational costs, and enhance robustness. …”
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Timing synchronization algorithm based on clock skew estimation for WSN by Yi SUN, Lu-kun ZENG, Xin WU, Jun LU, Yue SUN

“…In order to solve the problem of poor synchronization stability on classical synchronization algorithm,high overhead on joint clock offset and skew correction synchronization algorithm in wireless sensor network,a timing syn-chronization algorithm based on clock skew estimation for WSN (CSMS) was proposed.The algorithm adopted low-overhead clock offset and skew estimation method to improve the synchronization precision and stability of paired node.At the same time of guaranteeing the stability and accuracy,it realized synchronization with the root node and the neighbors,and optimized synchronization overhead by using the combination of hierarchical network structure and radio listening.The experimental results show that the CSMS algorithm balances energy consumption,accuracy and stability of synchronization.…”
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Research on Control Method of Electron Accelerator Based on Simulink Simulation by YUE Hongwei1, LI Zhongping2, 3, ZHOU Youwei2, CAO Shuchun2, 3, REN Jieru1, ZHANG Zimin2, 3, , ZHAO Yongtao1

“…The fuzzy neural network PID algorithm improves these indicators more significantly, the stabilization time is reduced by 77.9%, the overshoot is reduced by 79.6%, and the post-disturbance recovery time is reduced by 87.1%. …”

Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations by Martina Casari, Piotr A. Kowalski, Laura Po

“…The paper also explores various ANFIS configurations, including two distinct optimization algorithms, and investigates the impact of the number and type of membership functions on the fuzzy system's performance. …”
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Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation by Yanxu Liu, Enwen Hu, Yudong Chen, Changyou Guo

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Advanced Design of Naval Ship Propulsion Systems Utilizing Battery-Diesel Generator Hybrid Electric Propulsion Systems by Youngnam Park, Heemoon Kim

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A quadratic weighted centroid algorithm for tunnel personnel positioning by Haiying Wang, Linhao Liang, Jian Xu, Hui She, Wuxiang Li

“…The key ideas behind the quadratic weighted centroid algorithm include an optimization of the received signal strength indicator range value scheme, a centroid algorithm based on trilateral measurement positioning, and a weighting factor to improve the positioning accuracy of the trilateral centroid positioning algorithm. …”
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Methods and Algorithms for Predictive Analytics of Time Series in Energy Consumption by Aleksandr Karmanov

“…States must minimize carbon dioxide emissions and businesses must optimize their energy costs. In this regard, improving energy efficiency plays a key role in solving the climate crisis and reducing costs for businesses. …”
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Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model by Yiqing Yang, Guoyin Zhang, Yanxia Wu, Zhixiang Zhao, Yan Fu

“…To improve the efficiency and accuracy of telemedicine diagnostic systems, this study developed an optimized algorithm for the Top-K algorithm. …”
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