Reinforcement Learning Based Acceptance Criteria for Metaheuristic Algorithms by Oğuzhan Ahmet Arık, Gülhan Toğa, Berrin Atalay

“…Abstract This paper proposes novel reinforcement learning-based acceptance criteria for metaheuristic algorithms. We develop Q-learning and Deep Q-learning-based acceptance criteria and integrate them into simulated annealing (SA) and artificial bee colony (ABC) algorithms. …”
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COMPUTER SIMULATION OF JUNIOR GYMNASTS’ TRAINING PROCESS by O.M. Khudolii, O.V. Ivashchenko, S.S. Iermakov, O.G. Rumba

“…The algorithm is based on computer simulation of a training process. …”
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Pupil Detection Algorithm Based on ViM by Yu Zhang, Changyuan Wang, Pengbo Wang, Pengxiang Xue

“…Existing pupil detection algorithms still face challenges in maintaining robustness under variable lighting conditions and occlusion scenarios. …”
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Microwave Brain Lesion Detection and Localization Using Classification Algorithms by H. Şahintürk, R. Kıymaz, B. Aslanyürek, H.G. Süngülü

“…This paper contributes to the literature on microwave brain lesion localization by comparing several machine learning algorithms rather than proposing a single algorithm. …”
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A Study of the Views of Respondents on the Functioning of PRIMO Information Retrieval System in Universities from Moldova by Elena RAILEAN, Liubovi KARNAEVA

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Novel Back Propagation Optimization by Cuckoo Search Algorithm by Jiao-hong Yi, Wei-hong Xu, Yuan-tao Chen

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MSER Fast Skewed Scene-text Location Algorithm by ZHANG Kai-yu, SHAO Kang-yi, LU Di

“…Aiming at the problem that text localization requires a large number of training samples in natural scenes, which leads to low speed of algorithm running and it is difficult to locate skewed text, a fast natural scene skewed text localization algorithm based on maximally stable extremal regions (MSER) with hierarchical clustering is proposed . …”
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Prediction Algorithm of Parameters of Toe Clearance in the Swing Phase by Tamon Miyake, Masakatsu G. Fujie, Shigeki Sugano

“…The adaptive control of gait training robots is aimed at improving the gait performance by assisting motion. …”
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Road damage detection based on improved YOLO algorithm by Luyao Ma, Ming Chen

“…Public datasets are used for training and testing, with pavement distress indices derived from simulated detection calculations. …”
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Overhaul Scheduling Approach for Metro Vehicles Based on Genetic Algorithms by WANG Bingjing, LI Bingxin

“…In this scheduling approach, an evaluation function is applied to transform the train overhaul scheduling into the tasks to optimize the resource allocation for the overhaul process, and the resource allocation to the overhaul process is optimized leveraging the inherent parallelism and global optimization ability of the genetic algorithm, and the optimal chromosome is deemed as the final result of the overhaul scheduling. …”
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Examining the Efficiency of Learning-Based Algorithms in the Process of Declaring Customs by Mustafa Günerkan, Ender Şahinaslan, Önder Şahınaslan

“…According to the performance measurement results, the maximum result was achieved in the Decision Tree (75.69%) and Bagging (75.70%) algorithms with respect to the Train-test split method at a test rate of 25%. …”
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Research on Automatic Recovery Strategy for Metro Train Delay by QING Guangming, LI Jianghong, ZHANG Zhaoyang, ZHANG Yu

“…Correctness of the delay recovery strategy and algorithm are verified by CRS-Track, a train operation simulation software.…”
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Comprehensive Cardiopulmonary Resuscitation Training for Foreign Medical Students by S. Rocha Ferreira, S. A. Perepelitsa, Sh. A. Narode, K. Yu. Koreshkova, A. M. Harer, K. S. Borate, N. R. Tuklia

“…Students from Group 3 (N=25) were additionally involved in developing 3 mind maps: on the anatomy and physiology of the heart and CPR algorithm. All participants underwent theoretical training at the 1st stage, and «Basic Cardiopulmonary Resuscitation and Automated External Defibrillation (AED)» simulation training at the second stage. …”
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Model-Based Reasoning in Humans Becomes Automatic with Training. by Marcos Economides, Zeb Kurth-Nelson, Annika Lübbert, Marc Guitart-Masip, Raymond J Dolan

“…Model-based and model-free reinforcement learning (RL) have been suggested as algorithmic realizations of goal-directed and habitual action strategies. …”
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THE ALGORITHM OF FORMATION OF CONFLICTING SITUATIONS FOR FULL FLIGHT SIMULATOR by A. N. Akimov, A. F. Kulagin

“…An algorithm of formation of a conflicting situation for the Full Flight Simulator is described. …”
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APPLICATION OF COMPUTER TECHNOLOGIES IN TEACHING OF MEDICAL STUDENTS by O. V. Vorobeichikova

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Performance evaluation of deep learning algorithms for channel estimation in OFDM-IM by Omer Adiguzel, Ibrahim Develi

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Resource trading strategies with risk selection in collaborative training market. by Quyuan Wang, Xinyu Ni, Yuping Tu, Ying Wang, Jiadi Liu

“…Simulation results demonstrate that the proposed strategies and algorithms offer acceptable performance in terms of algorithmic efficiency and strategic effectiveness, while also preserving fundamental economic principles and supporting stable market dynamics.…”
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Learning tensor networks with tensor cross interpolation: New algorithms and libraries by Yuriel Núñez Fernández, Marc K. Ritter, Matthieu Jeannin, Jheng-Wei Li, Thomas Kloss, Thibaud Louvet, Satoshi Terasaki, Olivier Parcollet, Jan von Delft, Hiroshi Shinaoka, Xavier Waintal

“…The tensor cross interpolation (TCI) algorithm is a rank-revealing algorithm for decomposing low-rank, high-dimensional tensors into tensor trains/matrix product states (MPS). …”
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Comparison classification algorithms and the YOLO method for video analysis and object detection by Martin Magdin, Zoltán Balogh

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