Improved Zebra Optimization Algorithm with Multi Strategy Fusion and Its Application in Robot Path Planning by Zhengzong Wang, Xiantao Ye, Guolin Jiang, Yiru Yi

“…In order to overcome the inherent drawbacks of the baseline Zebra Optimization Algorithm (ZOA) approach, such as its propensity for premature convergence and local optima trapping, this work creates a Multi-Strategy Enhanced Zebra Optimization Algorithm (MZOA). …”
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A Novel Overload Control Algorithm for Distributed Control Systems to Enhance Reliability in Industrial Automation by Taikyeong Jeong

“…This paper presents a novel real-time overload detection algorithm for distributed control systems (DCSs), particularly applied to thermoelectric power plant environments. …”
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A backbone-based inverse kinematics and head traction path-following algorithm for soft manipulators by Hang Li, Chengkai Xia, Zhenbang Xu, Kai Wang, Huayang Sai, Xiaoming Wang, Peng Yu, Xin Li, Hexin Li, Yanbo Wang

“…Finally, the feasibility of both algorithms is validated through comprehensive simulations.…”
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Cloud service composition optimization based on service association impact and improved NSGA-II algorithm by Chong Zhang, Longge Wang, Ketai He

“…Extensive experiments on both benchmark problems and cloud service composition scenarios demonstrate that the proposed algorithm outperforms conventional multi-objective optimization methods in terms of convergence, diversity, and robustness. …”
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Simulation of a scalable corridor waning radiance system using fuzzy PID and genetic algorithm by Abdallah Awamu, Jimmy Nabende Wanzala, Michael Robson Atim, Cosmos Dumba

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Prediction of Gasification Process via Random Forest Regression Model Optimized with Meta-Heuristic Algorithms by Eunsung Oh

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An efficient smoothing algorithm for range external guidance data based on dynamic threshold and adaptive interpolation by Shixue Zhang, Huihui Cai, Houfeng Wang, Shuai Liu, Qiang He

“…Experimental results demonstrate that the proposed dynamic threshold-based five-point extrapolation outlier elimination method achieves an average outlier detection rate of over 80% with a very low false alarm rate. The interpolation algorithm effectively handles both stuck and non-stuck external guidance data, producing smooth and coherent processing results. …”
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Three-Dimensional Reconstruction of Road Structural Defects Using GPR Investigation and Back-Projection Algorithm by Lutai Wang, Zhen Liu, Xingyu Gu, Danyu Wang

“…The proposed method was validated using both gprMax simulations and laboratory test models. …”
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A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search by Weizhong Wang, Hai-Lin Liu, Hongjian Shi

“…Experimental results demonstrate that the proposed algorithm is efficient and effective.…”
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Automatic cutting and suturing control system based on improved FP16 visual recognition algorithm by Jiayin Wang, Weidong Zhao

“…The DarkPose image key point localization algorithm and the Yolov5 image detection algorithm are utilized to accurately determine the positions of surgical instruments, suture needles, and target points. …”
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Performance Evaluation of Hybrid Bio-Inspired and Deep Learning Algorithms in Gene Selection and Cancer Classification by Shahad S. Alkamli, Hala M. Alshamlan

“…This study explores the performance of hybrid bio-inspired algorithms and deep learning techniques for gene selection and cancer classification. …”
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Hybrid Clustering-Enhanced Brain Storm Optimization Algorithm for Efficient Multi-Robot Path Planning by Guangping Qiu, Jizhong Deng, Jincan Li, Weixing Wang

“…To address the core challenges in multi-robot path planning (MRPP) within large-scale, complex environments—namely path conflicts, suboptimal task allocation, and computational inefficiency—this paper introduces a Hybrid Clustering-Enhanced Brain Storm Optimization (HC-BSO) algorithm designed to improve both path quality and computational efficiency significantly. …”
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Internet of Things Enabled Intelligent Automation for Smart Home with the Integration of PSO Algorithm and PID Controller by Rajesh Singh, Anita Gehlot, Piyush Kuchhal, Sushabhan Choudhury, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan

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Improvements from incorporating machine learning algorithms into near real-time operational post-processing by Gabrielle Tepp, Ellen Yu, Aparna Bhaskaran, Ryan Tam, Weiqiang Zhu, Zackary Newman, Erika Jaski, Nick Scheckel

“…Recently, machine learning algorithms, particularly for phase picking, have matured enough for use in regional monitoring systems. …”
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Non-Line-of-Sight Location With Gauss Filtering Algorithm Based on a Model of Photon Flight by Yu Ren, Zongliang Xie, Yihan Luo, Shaoxiong Xu, Haotong Ma, Yi Tan

“…Compared with previous work using a fitting algorithm, the Gauss filtering approach preserves more waveform information and presents improved positioning accuracy and robustness under the influence of noise, which is demonstrated in both simulation and experiment. …”
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Optimizing Unmanned Vehicle Navigation: A Hybrid PSO-GWO Algorithm for Efficient Route Planning by Gökhan Altun, İlhan Aydın

“…This study aims to address the route-planning problem for autonomous systems, which plays a significant role in the operation of unmanned vehicles. A hybrid algorithm has been proposed to enhance the performance of metaheuristic algorithm approaches used to solve the specified problem. …”
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An Enhanced Deep Q Network Algorithm for Localized Obstacle Avoidance in Indoor Robot Path Planning by Cheng Chen, Jiantao Yu, Songrong Qian

“…The simulation results show that the PER-D2MQN algorithm obtains the highest reward in both static and complex environments, exhibits the best convergence, and finds the goal point with the lowest average number of steps and the shortest elapsed time.…”
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Comparison of Naive Bayes and SVM Algorithms for Sentiment Analysis of PUBG Mobile on Google Play Store by Putri Ratna Sari, Dwi Rosa Indah, Errissya Rasywir, Mgs Afriyan firdaus, Ghita Athalina

“…Following this, a labeling process was conducted based on the rating, data were preprocessed, TF-IDF weighting was applied, and both algorithms were implemented. The findings indicated that users expressed satisfaction with the game's visuals and gameplay. …”
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Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data by Miroslav Nikolić, Danilo Nikolić, Miroslav Stefanović, Sara Koprivica, Darko Stefanović

“…The evaluated models included Binary Logistic Regression with polynomial degrees of 1, 2, 3, and 4, Random Forest, and XGBoost classification algorithms. Three widely used calibration methods, Platt scaling, isotonic regression, and temperature scaling, were then used to assess their impact on both probabilistic accuracy and fairness metrics of the best-performing model. …”
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A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications by Dipraj Debnath, Fernando Vanegas, Juan Sandino, Ahmad Faizul Hawary, Felipe Gonzalez

“…This paper provides a comprehensive review of UAV path planning, obstacle detection, and avoidance methods, with a focus on its utilisation in both single and multiple UAV platforms. The paper classifies the algorithms into two main categories: (1) global and local path-planning approaches in single UAVs; and (2) multi-UAV path-planning methods. …”
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