Development of an algorithm for determining the heat transfer coefficient of the body of an isothermal vehicle based on the results of analysis of the heat exchange processes occur... by A. A. Golubin, S. N. Naumenko

“…An occurring in the body of an isothermal vehicle when determining algorithm for determining the heat transfer coefficient is proposed, the heat transfer coefficient K by the internal heating method. which makes it possible to calculate its value with an accuracy not The differences are shown in the values of the heat transfer coef-exceeding 5 %, which is regulated by a number of international ficients obtained by the equilibrium internal heating method and normative documents, while reducing the duration of the experiment by at least 6 times. …”
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An Operation Optimization Strategy of the Combined Power Generation System with Wind Power & Pumped Storage Based on Improved Whale Algorithm by LI Kecheng, YANG Ning

“…In order to solve the model, based on the basic whale optimization algorithm, a multi-objective whale optimization algorithm is developed by adding external population and leader selection mechanism, and the control parameter in the algorithm is improved to obtain an improved multi-objective whale optimization algorithm. …”
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Implementation of the Support Vector Machine (SVM) Algorithm on Sentiment Analysis of Public Opinion on The Prohibition of the use of Syrupy Drugs for Kidney Health by Galih Purnomo, Rumini Rumini, Tri Susanto

“…This research concludes that the Support Vector Machine (SVM) algorithm with a linear kernel achieves the highest accuracy in sentiment analysis.…”
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Modified Algorithm for Calculating the Parameters of Maneuvers of Coplanar Meeting of Spacecraft in a Near-Circular Orbit Using Low-Thrust Engines by Andrey A. Baranov, Adilson P. Olivio

“…A modified algorithm is presented for solving the problem of spacecraft rendezvous in a near-circular orbit. …”
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Optimal sizing of battery energy storage system (BESS) for multiple applications using regression analysis and deep sleep optimizer algorithm by Chukwuemeka Emmanuel Okafor, Komla Agbenyo Folly

“…Regression analysis is used for mathematical formulations while Deep Sleep Heuristic algorithms in MATLAB environment is used for the optimization process for BESS optimal size. …”
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Mapping burnt areas using very high-resolution imagery and deep learning algorithms - a case study in Bandipur, India. by Sai Balakavi, Vineet Vadrevu, Kristofer Lasko

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A diffusion equation based algorithm for determination of the optimal number of fibers used for breast cancer treatment planning in photodynamic therapy by F. S. Ismael, H. M. Amasha, W. H. Bachir

“…It is essential in interstitial Photodynamic therapy (iPDT) treatment planning to ensure a homogeneous distribution within a tumor volume using cylindrical diffusing fibers while keeping the surrounding tissue intact. Light distribution is simulated through two algorithms based on the diffusion equation assuming diffusers as light sources. …”
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Edge–Region Collaborative Segmentation of Potato Leaf Disease Images Using Beluga Whale Optimization Algorithm with Danger Sensing Mechanism by Jin-Ling Bei, Ji-Quan Wang

“…Therefore, a collaborative segmentation framework of Otsu and Sobel edge detection based on the beluga whale optimization algorithm with a danger sensing mechanism (DSBWO) is proposed. …”
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Machine learning methods for landslide mapping studies: A comparative study of SVM and RF algorithms in the Oued Aoulai watershed (Morocco) by Ladel Latifa, Mastere Mohamed, Kader Shuraik, Spalević Velibor, Dudic Branislav

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Genetic Algorithm for Optimizing Urban District and Block Morphology to Minimize Solar Radiation Access and Maximize Building Floor Area in the UAE by Hanan M. Taleb, Mays Kayed, Fuad Baba

“…The proposed methodology is developed to achieve these objective functions using a single-objective Genetic Algorithm (GA) with three street layout patterns: random, radial, and grid layout. …”
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A Hybrid Nondominant-Based Genetic Algorithm (NSGA-II) for Multiobjective Optimization to Minimize Vibration Amplitude in the End Milling Process by Mahesh Gopal, Endalkachew Mosisa Gutema, Hirpa G. Lemu, Jaleta Sori

“…To find the best feasible response, the nondominant sorting genetic algorithm II (NSGA II) approach was trained and tested using MATLAB software. …”
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A Methodology to Characterize an Optimal Robotic Manipulator Using PSO and ML Algorithms for Selective and Site-Specific Spraying Tasks in Vineyards by Roni Azriel, Oded Degani, Avital Bechar

“…It compares the current approach for optimizing manipulator configurations, which relies on simulation and optimization algorithms, with an improved methodology that integrates machine learning models to enhance the optimization process. …”
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A New Method for Spectral Wavelength Selection Based on Multiple Linear Regression Combined with Ant Colony Optimization and Genetic Algorithm by Qing Huang, Heru Xue, Jiangping Liu, Xinhua Jiang

“…Wavelength selection is one of the key steps in quantitative spectral analysis, which reduces the computation time while also improving the prediction accuracy of the model. …”
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Identification of fresh leaves of Anji White Tea: S-YOLOv10-ASI algorithm fusing asymptotic feature pyra-mid network. by Chunhua Yang, Wenxia Yuan, Qiang Zhao, Zejun Wang, Bowu Song, Xianqiu Dong, Yuandong Xiao, Shihao Zhang, Baijuan Wang

“…This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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Human-Centred Design Meets AI-Driven Algorithms: Comparative Analysis of Political Campaign Branding in the Harris–Trump Presidential Campaigns by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

“…The study underscores the complex interplay between neuroscience AI algorithms and human-centred design in political campaign branding, offering valuable insights for future research in neuromarketing and design communication strategies. …”
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A MapReduce-Based Parallel Frequent Pattern Growth Algorithm for Spatiotemporal Association Analysis of Mobile Trajectory Big Data by Dawen Xia, Xiaonan Lu, Huaqing Li, Wendong Wang, Yantao Li, Zili Zhang

“…Frequent pattern mining is an effective approach for spatiotemporal association analysis of mobile trajectory big data in data-driven intelligent transportation systems. While existing parallel algorithms have been successfully applied to frequent pattern mining of large-scale trajectory data, two major challenges are how to overcome the inherent defects of Hadoop to cope with taxi trajectory big data including massive small files and how to discover the implicitly spatiotemporal frequent patterns with MapReduce. …”
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Optimal Distributed Dispatch of Smart Multi-Agent Energy Hubs Based on Consensus Algorithm Considering Lossy Communication Network and Uncertainty by Abdelfattah A. Eladl, Magda I. El-Afifi, Magdi M. El-Saadawi, Bishoy E. Sedhom

“…This paper proposes an IoT-Fog-Cloud distributed consensus algorithm for solving the energy hub (EH) dispatch problem with packet-dropping communication links and some of EH elements' uncertainties. …”
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Sustainable economic production quantity optimization (SEPQ) considering food waste emission and water waste emission using genetic algorithm by Windy Puspika, Ilyas Masudin, Thomy Eko Saputro, Salman Alfarisi, Dian Palupi Restuputri, S. Sarifah Radiah Shariff

“…This study presents a novel approach for optimizing Sustainable Economic Production Quantity (SEPQ) by incorporating food waste and water waste emissions into the production planning process through the use of a Genetic Algorithm (GA). The objective is to minimize the environmental impacts while maximizing output volumes and decreasing total production costs. …”
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A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification by Jaouad El Gueri, Ibtisam Amdaouch, Badiaa Ait Ahmed, Juan Ruiz-Alzola, Otman Aghzout

“…The proposed RMA achieves significant advancements over traditional methods, such as the Delay Multiply and Sum technique, by greatly reducing channel calculations and computational time while maintaining high image quality. The algorithm was validated using an antenna array system and a custom built phantom model. …”
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Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms by Faten Aljalaud, Yousef Alohali

“…GA exemplifies the global search strategy, while HC illustrates an enhanced stochastic local search. …”
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