The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA) by Muhammad Khan, Masood Ahmad, Rakhmonov Dilshodjon Alidjonovich, Kalonov Mukhiddin Bakhritdinovich, Kurbanbekova Mohichehra Turobjonovna, Imomov Jamshidxon Odilovich

“…Natural Language Processing (NLP) methods are used to gain cultural insights from consumer data, while clustering algorithms segment the market based on these factors. …”
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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

“…Findings reveal that ANNs outperform other models in image-based defect detection, while SVMs and RFs excel in predictive maintenance and process parameter optimization. …”
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Optimizing PHEV Routing with Hybrid Mode and Partial Charging via Labeling-Based Methods by Zhenhua Chen, Qiong Chen, Yiying Chao, Cheng Xue

“…The proposed algorithm demonstrates strong scalability, solving instances with up to 33,000 nodes while maintaining near-optimal performance, with less than 5% deviation in smaller cases.…”
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Time-Dependent Shortest Path Optimization in Urban Multimodal Transportation Networks with Integrated Timetables by Yong Peng, Aizhen Ma, Dennis Z. Yu, Ting Zhao, Chester Xiang

“…To address this NP-hard problem, we propose and implement two optimization algorithms: a variable-length coding genetic algorithm (V-GA) and a full permutation coding genetic algorithm (F-GA). …”
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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

“…The approach systematically processes data in three steps: First, VMD decomposes raw data into intrinsic mode functions without recursion. The parallel Jaya algorithm is used to adaptively optimize VMD parameters for improved decomposition. …”
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Optimizing Class Imbalance in Facial Expression Recognition Using Dynamic Intra-Class Clustering by Qingdu Li, Keting Fu, Jian Liu, Yishan Li, Qinze Ren, Kang Xu, Junxiu Fu, Na Liu, Ye Yuan

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Optimization of delivery routes for takeout under time-varying road networks by Jiaci Wang, Liang Huang, Yuanqiao Wen, Yamin Huang, Man Zhu

“…The proposed model is solved using a taboo search algorithm. The effectiveness of the delivery model and algorithm is validated through simulations that compare the performance of the delivery route model under different weather conditions and road obstacle coefficients. …”
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A hybrid constrained multi-objective algorithm for dynamic economic emission dispatch by Shuqu Qian, Huihui He, Huihong Wu, Philippe Fournier-Viger, Hui Li, Shoude Huang

“…Dynamic Economic Emission Dispatch (DEED) problems present a critical multi-objective optimization challenge in power systems, requiring simultaneous minimization of conflicting objectives of costs and emissions while addressing complex operational constraints. …”
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Multi-Parameter Optimization Using Metaheuristic Algorithms to Improve Uncrewed Aerial Vehicles’ Wireless Communications: A Performance Analysis by Lalan J. Mishra, Naima Kaabouch

“…On average, in Approach 1, the whale optimization algorithm had the shortest convergence time, while ant colony optimization was the slowest. …”
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Enhancing SRM Performance through Multi-Platform Optimization and FPGA-Based Real-Time Simulation by Gustavo Xavier Prestes, Filipe Pinarello Scalcon, Babak Nahid-Mobarakeh, Rodrigo Padilha Vieira

“…This proposal is used to achieve optimal levels of torque ripple and losses with accuracy and reliability, while taking advantage of real-time simulation. …”
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Low-Power Intelligent Wireless Sensor Network for Precision Agriculture Oriented Agricultural Greenhouse Management System by Hongguo Jin

“…When the number of sensor nodes was 100, the improved whale optimization algorithm accounted for only 15% of the routing energy consumption, while the simulated annealing algorithm accounted for 53% of the routing energy consumption. …”
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Design optimization of multipoles radial magnetic bearings for large industrial rotors by Antoine S. Dimitri, Nada A. Rashed, Hesham A. Hegazi, Mohamed H. El-Shazly

“…The magnetic force equations are derived as function of the number of poles of the AMB. Two different optimization techniques are implemented: Sequential quadratic programming (SQP), and genetic algorithm (GA). …”
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An improvement in the design process of sustainable peak power rating transformer for solar utility by Emir Yükselen, Ebrahim Rahimpour

“…Such upgrades are essential for transitioning to a zero-emission electricity system and developing green energy projects.In this paper, a transformer has been studied using a combination of electrical design and 3D finite element method simulation to evaluate various design parameters. An optimization study has been conducted using an innovative multi-objective genetic algorithm utilizing a cost function that factors in size and material costs to identify the most efficient and cost-effective design solutions.The proposed design method was then validated through thermal model simulations and experimental tests based on the photovoltaic load cycle. …”
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Version [2.0] - [VIC-Borg: Multiobjective automatic calibration toolkit for VIC model] by Jinfeng Ma, Hua Zheng, Ruonan Li, Kaifeng Rao, Yanzheng Yang, Weifeng Li

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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…This paper addresses the challenge of speed tracking by proposing a genetic algorithm-based optimization method for PID controller parameters. …”
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A Novel, Self-Adaptive, Multiclass Priority Algorithm with VM Clustering for Efficient Cloud Resource Allocation by Hicham Ben Alla, Said Ben Alla, Abdellah Ezzati, Abdellah Touhafi

“…This algorithm implements a four-tiered prioritization system to optimize key objectives, including makespan and energy consumption, while simultaneously optimizing resource utilization, degree of imbalance, and waiting time. …”
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An Optimized Hybrid Model for Perishable Product Quality Inference in the Food Supply Chain by Muhammad Asrol, . Suharjito, Riyanto Jayadi

“…The model optimization achieves optimal computation time while aiming to preserve model accuracy. …”
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Airport Field Path Optimization Method Based on Conflict Hotspot Avoidance Mechanism by Wen Tian, Mingjian Yang, Xuefang Zhou, Jianan Yin, Xv Shi

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Comparative Evaluation of Traditional and Advanced Algorithms for Photovoltaic Systems in Partial Shading Conditions by Robert Sørensen, Lucian Mihet-Popa

“…This study focuses on the development and comparison of traditional and advanced algorithms, including Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy Logic Control (FLC), Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO), and Artificial Neural Networks (ANN), for efficient Maximum Power Point Tracking (MPPT). …”
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Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach by Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma

“…The Leaf Area Index (LAI) is a crucial structural parameter linked to the photosynthetic capacity and biomass of crops. While integrating machine learning algorithms with spectral variables has improved LAI estimation over large areas, excessive input parameters can lead to data redundancy and reduced generalizability across different crop species. …”
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