PRINCIPLES FOR DEVELOPMENT OF OPTIMIZATION ALGORITHM FOR OPERATIONAL RELIABILITY OF DISTRIBUTIVE SYSTEMS WITH DUE ACCOUNT OF PROBABILITY IMPACT FACTORS by O. E. Gudkova, I. M Savchenko, O. A. Grebenchikov, A. A. Sergeev

“…Reliability  of  distributive  systems  for  electric supply of consumers is considered as a multi-criteria function. For this reason while developing an algorithm for determination  of  optimum  reliability  level  of distributive networks it is necessary to take into account probability character of changes  in corresponding indices.  …”
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Predictive algorithms and criminal justice: expectations, challenges and a particular view of the Spanish VioGén system by Pilar Martín Ríos

“…Within this framework, we will also examine the emergence of the use of systems that, while employing algorithms, do not meet the criteria that allow them to be classified as AI. …”
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Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm by Mousa Mirmoradi, Mohammad Gholami Parashkoohi, Hamed Afshari, Ahmad Mohammadi

“…This study focuses on optimizing energy efficiency and environmental performance in the production of cotton and canola through the application of the Imperialist Competitive Algorithm (ICA). Conducted in the Dasht-e Gorgan region of Iran, the research provides a comprehensive analysis of energy inputs and outputs for both crops. …”
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Learning path planning methods based on learning path variability and ant colony optimization by Jing Zhao, Haitao Mao, Panpan Mao, Junyong Hao

“…The results show that the loss value of the ant colony optimization algorithm converges to a minimum value of 0.1, which has the best stability of the loss function curve and the fastest convergence speed compared to other algorithms. …”
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Sentiment Modeling of Instagram Users Towards Traditional and Modern Body Scrubs Using the Naive Bayes Algorithm by Mardiana Mardiana, Kusrini Kusrini

“…This study conducts sentiment analysis on Instagram comments related to traditional and modern body scrub products using the Naive Bayes algorithm. The aim of the research is to identify and compare consumer sentiments—positive, negative, or neutral—toward these two categories of skincare products. …”
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Inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity over fixed point sets by Manatchanok Khonchaliew, Narin Petrot

“…Abstract This paper introduces an inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity, constrained over the fixed point set of a nonexpansive mapping in the framework of a real Hilbert space. …”
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A sensorless control scheme based on fractional order super-twisting algorithm and improved FLL for PMSM by Liqun Huangfu, Cen Chen, Tao Zhang

“…The combination of the super-twisting algorithm (STA) and fractional calculus algorithm (FCA) is applied to the observer, which improves the convergence speed and accuracy. …”
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CNRein: an evolution-aware deep reinforcement learning algorithm for single-cell DNA copy number calling by Stefan Ivanovic, Mohammed El-Kebir

“…Abstract Low-pass single-cell DNA sequencing technologies and algorithmic advancements have enabled haplotype-specific copy number calling on thousands of cells within tumors. …”
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Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends by Vivek Singh, Gaurav Tiwari, Amarendra Singh, Rajeeb Samanta, Atul Kumar Srivastava, Deewan Singh Bisht, Ashish Routray, Sushil Kumar, Shivaji Singh Patel, Abhishek Lodh

“…Notably, research since 2019 highlights a shift toward machine‐based algorithms aimed at improving intensity predictions. …”
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Real-time Detection Algorithm of Expanded Feed Image on the Water Surface Based on Improved YOLOv11 by ZHOU Xiushan, WEN Luting, JIE Baifei, ZHENG Haifeng, WU Qiqi, LI Kene, LIANG Junneng, LI Yijian, WEN Jiayan, JIANG Linyuan

“…[Methods]The YOLOv11-AP2S model enhanced the YOLOv11 algorithm by incorporating a series of improvements to its backbone network, neck, and head components. …”
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Estimation of the Angles of a Robotic Arm with 7-Free Degrees Using an Improved Hybrid ESSA Algorithm by Inayet Hakki Cizmeci, Adem Alpaslan Altun

“…The electro-search algorithm (ESO) encounters challenges arising from its slow convergence rate and propensity to descend into local optima. …”
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A Three-Stage Optimization Algorithm for the Stochastic Parallel Machine Scheduling Problem with Adjustable Production Rates by Rui Zhang

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Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms by Hossam M. J. Mustafa, Masri Ayob

“…Data clustering algorithms experience challenges in identifying data points that are either noise or outlier. …”
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Firefly Algorithm-Based Artificial Neural Network to Predict the Shear Strength in FRP-Reinforced Concrete Beams by Mohammad Nikoo, Babak Aminnejad, Alireza Lork

“…Findings show that regarding the shear strength of FRP-reinforced concrete beams, the firefly algorithm-optimized model performs better than the other four models. …”
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Joint optimization algorithm for 6G network task offloading and fine-grained slice resource scheduling by WANG Ye, WANG Yifei, CHEN Kang, ZHU Xiaorong, TONG En, XU Yufei

“…The simulation results show that, compared with the traditional algorithm, the proposed algorithm can reduce the computing cost while meeting the business needs of users. …”
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A Low-Complexity Resource Allocation Algorithm for MIMO-OFDMA Multicast Systems with Spectrum-Guarantee Provisioning by Ioannis G. Fraimis, Stavros A. Kotsopoulos

“…We study the important problem of resource allocation for the downlink of Multiple-Input Multiple output (MIMO) Multicast Wireless Systems operating over frequency-selective channels and we propose a low-complexity but efficient resource allocation algorithm for MIMO-enabled OFDMA systems. The proposed solution guarantees a minimum spectrum share for each user while also takes advantage of the multicast transmission mode. …”
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The “One-fifth Rule” with Rollbacks for Self-Adjustment of the Population Size in the (1 + (λ,λ)) Genetic Algorithm by Anton Olegovich Bassin, Maxim Viktorovich Buzdalov, Anatoly Abramovich Shalyto

“…Self-adjustment of parameters can significantly improve the performance of evolutionary algorithms. A notable example is the (1 + (λ,λ)) genetic algorithm, where adaptation of the population size helps to achieve the linear running time on the OneMax problem. …”
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Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm by Chukwuka G. Monyei, Aderemi O. Adewumi, Michael O. Obolo

“…This paper presents a successive application of modified artificial neural network (MANN) combined with a mild intrusive genetic algorithm (MIGA) to the oil well characteristics with promising results. …”
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Supervised machine learning classification algorithms for detection of fracture location in dissimilar friction stir welded joints by Akshansh Mishra, Apoorv Vats

“…Supervised Machine Learning algorithms are further sub-divided into two types i.e. regression algorithms and classification algorithms. …”
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Joint optimization algorithm for 6G network task offloading and fine-grained slice resource scheduling by WANG Ye, WANG Yifei, CHEN Kang, ZHU Xiaorong, TONG En, XU Yufei

“…The simulation results show that, compared with the traditional algorithm, the proposed algorithm can reduce the computing cost while meeting the business needs of users. …”
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