The advantages of k-visibility: A comparative analysis of several time series clustering algorithms by Sergio Iglesias-Perez, Alberto Partida, Regino Criado

“…The structural properties of visibility graphs provided a robust foundation for clustering, effectively capturing both local and global patterns within the data. In this paper, we have compared the k-visibility algorithm with 4 algorithms frequently used in time series clustering and compared the results in terms of accuracy and computational time. …”
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Adaptive Robust Low-Beam Feature Point Detection Algorithm Based on Convex Hull by Qiqi Shen, Jie Wu

“…The experimental results demonstrate that the proposed algorithm can accurately detect and differentiate all types of low-beam elbow points and other feature points and is applicable to both right-hand and left-hand traffic low-beam light patterns. …”
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Decentralized Microenvironment-Based Particle Swarm Optimization Algorithm for Insect-Intelligent Building Platform by Zhenya Zhang, Shaojie Xu, Ping Wang, Hongmei Cheng, Shuguang Zhang

“…Experimental results show that, within microenvironment networks, both synchronous and asynchronous implementations of MPSO algorithms can solve optimization problems faster than the PSO algorithm while maintaining a precision similar to that of the PSO algorithm.…”
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An enhanced control solutions for efficient urban waste management using deep learning algorithms by Gabriel James, Anietie Ekong, Etimbuk Abraham, Enobong Oduobuk, Nseobong Michael, Victor Ufford, Oscar Ebong

“… This study focuses on developing an efficient urban waste management system using deep learning algorithms and Internet of Things (IoT) technology. …”
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Fast Adapting Ensemble: A New Algorithm for Mining Data Streams with Concept Drift by Agustín Ortíz Díaz, José del Campo-Ávila, Gonzalo Ramos-Jiménez, Isvani Frías Blanco, Yailé Caballero Mota, Antonio Mustelier Hechavarría, Rafael Morales-Bueno

“…This paper presents a new algorithm, called Fast Adapting Ensemble (FAE), which adapts very quickly to both abrupt and gradual concept drifts, and has been specifically designed to deal with recurring concepts. …”
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A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification by Yalin Wang, Xiaofang Chen, Weihua Gui, Chunhua Yang, Lou Caccetta, Honglei Xu

“…The grinding-classification is the prerequisite process for full recovery of the nonrenewable minerals with both production quality and quantity objectives concerned. …”
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Optimizing Smart Manufacturing Processes and Human Resource Management through Machine Learning Algorithms by Deden Komar Priatna, Winna Roswinna, Nandan Limakrisna, Azam Khalikov, Diyorjon Abdullaev, Layth Hussein

“…The integration of smart manufacturing technologies presents both technological and human resource challenges for developing economies transitioning toward Industry 4.0. …”
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An Improved Whale Algorithm for Setting Standard Scheduled Block Time Based on the Airline Fairness by Qian Wang, Yong Tian, Lili Lin, Ratnaji Vanga, Lina Ma

“…The objective of this paper is to develop and solve a mathematical model for standard SBT setting with consideration of both fairness and reliability. We use whale optimization algorithm (WOA) and an improved version of the whale optimization algorithm (IWOA) to solve the SBT setting problem. …”
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An Area-Efficient TMR Architecture Inspired From Fast FIR Algorithm for Fault Tolerance by M. Deepa, P. Augusta Sophy Beulet

“…Instead of the default TMR approach of triplicating the FIR filters, a polyphase-decomposed parallel fast FIR filter algorithm (FFA) is used. This three-parallel structure reduces hardware requirements hence area, and enhances performance. …”
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Algorithm for Performing Laser Iridectomy in Patients with Angle-Closure Glaucoma and Concomitant Somatic Pathology by E. I. Belikova, G. A. Sharova

“…Somatic comorbidity (autoimmune, allergic, chronic infectious diseases) affects the results of laser iridectomy.Purpose: to evaluate in practice the algorithm for applying the method of laser iridectomy in compliance with preventive measures, including medical support before and after surgery, both in patients with concomitant somatic pathology and without it.Patients and methods. …”
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ISAR Autofocus Imaging Algorithm for Maneuvering Targets Based on Phase Retrieval and Keystone Transform by Hongyin Shi, Ting Yang, Yue Liu, Jingjing Si

“…In the current scenario of high-range resolution radar and noncooperative target, the rotational motion parameters of the target are unknown and migration through resolution cells (MTRC) is apparent in the obtained inverse synthetic aperture radar (ISAR)images, in both slant-range and cross-range directions. In the case of the high-speed maneuvering target with a small value of rotation, the phase retrieval algorithm can be applied to compensate for the translational motion to form an autofocusing image. …”
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Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm by Dakun Yang, Muhammad Sheraz Arshad Malik

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Research on Multi-Objective Optimization of Helical Gear Shaping Based on an Improved Genetic Algorithm by Shengmao Zhou, Dehai Zhang

“…Both methods effectively decreased the maximum normal load per unit length and system vibration amplitude, with the improved genetic algorithm yielding superior results. …”
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Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops by Xin Yang, Xiaoying Yang, Jinhao Du

“…Reinforcement learning is employed to dynamically adjust temperature parameters, improving both exploration and exploitation capabilities and thus enhancing the convergence of the algorithm. …”
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Comparing Two Geostatistical Simulation Algorithms for Modelling the Spatial Uncertainty of Texture in Forest Soils by Gabriele Buttafuoco

“…Similar results in reproducing the texture data statistics by both algorithms of simulation were obtained. The maps of expected values and standard deviations of the three soil textural fractions obtained by SGS and TBS showed no notable visual differences or visual artifacts. …”
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Multimodal Data Fusion for Precise Lettuce Phenotype Estimation Using Deep Learning Algorithms by Lixin Hou, Yuxia Zhu, Mengke Wang, Ning Wei, Jiachi Dong, Yaodong Tao, Jing Zhou, Jian Zhang

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A Branch-and-Price-and-Cut Algorithm for the Integrated Scheduling and Rostering Problem of Bus Drivers by Dung-Ying Lin, Chieh-Ju Juan, Ching-Chih Chang

“…The results show that the proposed BPC algorithm can solve problems with large real-world instances within a reasonable computational time. …”
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Green vehicle routing optimization based on dynamic constraint selection co-evolutionary algorithm by Lu-jie Zhou, Hai-fei Zhang, Jun-hao Fu

“…The algorithm treats the complete problem model as a complex task and introduces a shift crowding distance calculation that considers both individual distribution and convergence information when solving this complex task, effectively balancing the convergence and diversity of solutions. …”
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Flexible Adaptive Marine Predator Algorithm and Its Application in Fault Detection for Wind Turbines by WANG Wen, YI Jiabiao

“…To solve these issues, this paper proposes a flexible adaptive marine predator algorithm (FAMPA) by introducing an adaptive parameter mechanism to enhance the original MPA. …”
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Ground fault protection algorithm of active distribution network based on energy extremum direction by Li Jun, He Min, Huang Shoudao, Wu Xuan, Fan lv, Liu Zhi Yong

“…The applicability of the algorithm covers both methods of neutral grounding through an arc suppression coil and ungrounded neutrals, adapting to scenarios with or without DG connections.…”
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