Modeling Slotted Aloha as a Stochastic Game with Random Discrete Power Selection Algorithms by Rachid El-Azouzi, Essaid Sabir, Tania Jiménez, El-Houssine Bouyakhf

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Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems by Khaled Chahine

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The advantages of k-visibility: A comparative analysis of several time series clustering algorithms by Sergio Iglesias-Perez, Alberto Partida, Regino Criado

“…This paper outlined the advantages of the k-visibility algorithm proposed in [1,2] compared to traditional time series clustering algorithms, highlighting enhanced computational efficiency and comparable clustering quality. …”
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Active Vibration Control of the Sting Used in Wind Tunnel: Comparison of Three Control Algorithms by Xing Shen, Yuke Dai, Mingxuan Chen, Lei Zhang, Li Yu

“…This paper details three algorithms, respectively, Classical PD Algorithm, Artificial Neural Network PID (NNPID), and Linear Quadratic Regulator (LQR) Optimal Control Algorithm, which can realize active vibration control of sting used in wind tunnel. …”
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Decentralized Optimization Algorithms for Variable Speed Pumps Operation Based on Local Interaction Game by Shi-Qiang Wang, Jian-Chun Xing, Zi-Yan Jiang, Yun-Chuang Dai

“…Finally, simulation studies have been conducted based on the models of a physical pumps system, and the performance of the proposed algorithm is compared with centralized algorithms in terms of both effectiveness and stability. …”
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An Intelligent Carbon-Based Prediction of Wastewater Treatment Plants Using Machine Learning Algorithms by Anwer Mustafa Hilal, Maha M. Althobaiti, Taiseer Abdalla Elfadil Eisa, Rana Alabdan, Manar Ahmed Hamza, Abdelwahed Motwakel, Mesfer Al Duhayyim, Noha Negm

“…To overcome this issue, this paper proposed fusion of B-KNN with the ELM algorithm that is used. The accuracy of the BKNN-ELM algorithm in classification of water quality status produced the highest accuracy of the highest accuracy which is K=9 and k=10 with rate of accuracy which is 93.56%, and the lowest accuracy is K=1 of 65.34%. …”
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The Application of Supervised Machine Learning Algorithms for Image Alignment in Multi-Channel Imaging Systems by Kyrylo Romanenko, Yevgen Oberemok, Ivan Syniavskyi, Natalia Bezugla, Pawel Komada, Mykhailo Bezuglyi

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Retracted: Modeling Social Network of Professional Sports Athletes Based on Machine Learning Algorithms by International Transactions on Electrical Energy Systems

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Correction: Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms. by PLOS One Staff

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Charging wireless sensor network security technology based on encryption algorithms and dynamic model by Yuanming Li, Wei Guo, Xuejun Meng, Wen Xia

“…The purpose of this article is to solve the existing security problems and study the operation process of RC4 and Advanced Encryption Standard algorithms, and the improvement scheme is put forward. …”
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Automatic Generation of Moodle Cloze Questions for the Assessment of Knowledge About Lexical Analysis Algorithms by Roberto Izquierdo-Amo, José Antonio Barbero-Aparicio, José Luis Garrido-Labrador, Alicia Olivares-Gil, César Ignacio García-Osorio

“…This paper presents a tool that solves all these problems, allowing the automatic and massive generation of questions for the evaluation of the knowledge about lexical analysis algorithms. The evaluation of these algorithms is relevant in the subjects of both automata and formal languages and in those of compiler design. …”
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Deep Learning Algorithms for Traffic Forecasting: A Comprehensive Review and Comparison with Classical Ones by Shahriar Afandizadeh, Saeid Abdolahi, Hamid Mirzahossein

“…This paper aims to comprehensively review deep learning algorithms and classical models employed in traffic forecasting. …”
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Different orthology inference algorithms generate similar predicted orthogroups among Brassicaceae species by Irene T. Liao, Karen E. Sears, Lena C. Hileman, Lachezar A. Nikolov

“…Abstract Premise Orthology inference is crucial for comparative genomics, and multiple algorithms have been developed to identify putative orthologs for downstream analyses. …”
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MIP Models and Hybrid Algorithms for Simultaneous Job Splitting and Scheduling on Unrelated Parallel Machines by Duygu Yilmaz Eroglu, H. Cenk Ozmutlu

“…We developed algorithms that satisfy the adaptation of results of local search into the genetic algorithms with minimum relocation operation of genes’ random key numbers. …”
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Estimation of Gait Parameters for Transfemoral Amputees Using Lower Limb Kinematics and Deterministic Algorithms by Zohaib Aftab, Gulraiz Ahmed, Asad Ali, Nazia Gillani

“…However, both these algorithms produced inferior accuracy for the TO event with consistent early prediction. …”
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A Mathematical Modeling and an Optimization Algorithm for Marine Ship Route Planning by Lili Huang

“…Based on the mathematical model, the ant colony algorithm is used to optimize the initial route of the ship. …”
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Improved F-RRT∗ Algorithm for Flight-Path Optimization in Hazardous Weather by Xue Qiu, Yaohui Li, Rui Jin, Zhi Zhao, Jiajun Li, Donglin Lu, Linhui Ma

“…Then, under the grid environment model, the range of influence, size, and distribution characteristics of the flight-restricted area was examined, and the path optimization model was created according to constraints related to the path distance, corner size, and number of turning points. An improved F-RRT∗ algorithm was developed to solve the model. The algorithm can overcome the problems of traditional path planning algorithms, such as strong randomness, poor guidance, slow convergence speed, unsmooth paths, and poor tracing smoothness. …”
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Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence of Location Errors by Trung Kien Vu, Sungoh Kwon

“…We propose a mobility-assisted on-demand routing algorithm for mobile ad hoc networks in the presence of location errors. …”
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Adaptive Spatial Regularization Target Tracking Algorithm Based on Multifeature Fusion by Turdi Tohti, Xifeng Guo, Askar Hamdulla

“…The accuracy and robustness of object-tracking algorithms are challenging tasks in the field of artificial intelligence. …”
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Malware recognition approach based on self‐similarity and an improved clustering algorithm by Jinfu Chen, Chi Zhang, Saihua Cai, Zufa Zhang, Lu Liu, Longxia Huang

“…Since the traditional K‐means algorithm needs to determine the number of clusters in advance and it is easily affected by the initial cluster centres, we propose an improved K‐means clustering algorithm (NIKClustering algorithm) for cluster analysis. …”
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