Optimizing multiprocessor performance in real-time systems using an innovative genetic algorithm approach by Heba E. Hassan, Khaled Hosny Ibrahiem, Ahmed H. Madian

“…In this article, a novel approach for generating task schedules for real-time systems utilizing a Genetic Algorithm is proposed. …”
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Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique by Rafael F. Pinheiro, Maria P. Guarino, Marlene Lages, Rui Fonseca-Pinto

“…In the search for methods to support early diagnosis, this article introduces a novel prediabetes risk classification algorithm (PRCA) for type-2 diabetes mellitus (T2DM), utilizing the chemosensitivity of carotid bodies (CB) and K-means clustering technique from the field of machine learning. …”
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K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm by Maaeda Mohsin Rashid

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Exact algorithm for the problem of the minimum complete spanning tree of a divisible multiple graph by Alexander V. Smirnov

“…The problem of the minimum complete spanning tree of a multiple graph is NP-hard even in the case of a divisible graph. In this article, we obtain an exact algorithm for the problem of the minimum complete spanning tree of a divisible multiple graph. …”
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A novel multi-label classification algorithm based on -nearest neighbor and random walk by Zhen-Wu Wang, Si-Kai Wang, Ben-Ting Wan, William Wei Song

“…In this article, we propose a novel multi-label classification algorithm based on the random walk graph and the K -nearest neighbor algorithm (named MLRWKNN). …”
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Dynamic clustering and compressive data gathering algorithm for energy-efficient wireless sensor networks by Ce Zhang, Xia Zhang, Ou Li, Yanping Yang, Guangyi Liu

“…In this article, we proposed a compressed sensing–based dynamic clustering algorithm centred on event source. …”
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Models and algorithms for decision support and their use in the simulator training of air traffic control specialists by A. M. Matskevich

“…Adaptation of these models and algorithms will automate the instructor’s position and ensure the dynamism of the system in the field of replenishment of possible air traffic options.…”
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Study on Dynamic Interval Power Flow Calculation of Microgrid Based on Monte Carlo Algorithm by Xudong Yuan

“…In order to effectively monitor the stability of the microgrid, based on the advantages of the Monte Carlo algorithm, a dynamic interval power flow calculation method for microgrid is designed. …”
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A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…However, the limited adaptability of specific constraint-handling techniques (CHTs) has hindered the widespread applicability of constrained multi-objective evolutionary algorithms (CMOEAs). To overcome this limitation, this article proposes a population state-based CMOEA. …”
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Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State by Fazliddin Makhmudov, Dilmurod Turimov, Munis Xamidov, Fayzullo Nazarov, Young-Im Cho

“…Drowsiness while driving is a major factor contributing to traffic accidents, resulting in reduced cognitive performance and increased risk. This article gives a complete analysis of a real-time, non-intrusive sleepiness detection system based on convolutional neural networks (CNNs). …”
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Optimal sensor placements using modified Fisher information matrix and effective information algorithm by Eun-Taik Lee, Hee-Chang Eun

“…This article presents an optimal sensor placement algorithm for modifying the Fisher information matrix and effective information. …”
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A new metaheuristic algorithm for solving multi-objective single-machine scheduling problems by Khraibet Tahani Jabbar, Kalaf Bayda Atiya, Mansoor Wafaa

“…To address these challenges, this article introduces the meerkat clan algorithm (MCA), inspired by the dynamic, cooperative, and adaptive behaviors of meerkats, which enhances the exploration and exploitation of solution spaces. …”
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Clinical TNM Lung Cancer Staging: A Diagnostic Algorithm with a Pictorial Review by Ivana Kuhtić, Tinamarel Mandić Paulić, Lucija Kovačević, Sonja Badovinac, Marko Jakopović, Margareta Dobrenić, Maja Hrabak-Paar

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A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…In this article, a penalty function based on graph density (GD) was introduced to the particle swarm optimization algorithm (PSO), and a GD-PSO algorithm was proposed. …”
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Comparison and Prediction of Breast Cancer Using Discriminant Analysis Algorithm in Active and Inactive Women by Leila Fasihi, Hamid Agha-Alinejad, Reza Gharakhanlou, Francisco J. Amaro Gahete

“…Data mining provides the possibility of analyzing clinical data of patients for medical decision-making. The aim of this article was to compare and predict breast cancer using the differential analysis algorithm in active and inactive women. …”
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An Efficient Computational Algorithm for the Nonlocal Cahn–Hilliard Equation with a Space-Dependent Parameter by Zhengang Li, Xinpei Wu, Junseok Kim

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A Computationally-Efficient Data-Driven Safe Optimal Algorithm Through Control Merging by Marjan Khaledi, Bahare Kiumarsi

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Comparative analysis of the performance of selected machine learning algorithms depending on the size of the training sample by Kupidura Przemysław, Kępa Agnieszka, Krawczyk Piotr

“…Several variants of each algorithm were tested, adopting different parameters typical for each of them. …”
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Application of Compensation Algorithms to Control the Speed and Course of a Four-Wheeled Mobile Robot by Gennady Shadrin, Alexander Krasavin, Gaukhar Nazenova, Assel Kussaiyn-Murat, Albina Kadyroldina, Tamás Haidegger, Darya Alontseva

“…This article presents a tuned control algorithm for the speed and course of a four-wheeled automobile-type robot as a single nonlinear object, developed by the analytical approach of compensation for the object’s dynamics and additive effects. …”
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An improved algorithm for prediction of vehicle trajectories using short-term goal-driven network by Abdalla Tawfik, Zaki Nossair, Roaa Mubarak

“…STG demonstrated a substantial improvement of over 6% in average displacement error and more than 8% in final displacement error. Conclusion This article presents an improved algorithm for predicting vehicle trajectories using short-term goals. …”
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