Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms by Kaushalya Dissanayake, Md Gapar Md Johar

“…This article has conducted an experimental evaluation of the performance of models created using classification algorithms and relevant features selected using various feature selection approaches. …”
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Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms by Dae-Yeon Kim, Dong-Sik Choi, Ah Reum Kang, Jiyoung Woo, Yechan Han, Sung Wan Chun, Jaeyun Kim

“…Although there are numerous deep learning algorithms available, this study applied five algorithms, namely, recurrent neural network (RNN), which is optimized for sequence data (e.g., time-series), and RNN-based algorithms (e.g., long short-term memory (LSTM), stacked LSTM, bidirectional LSTM, and gated recurrent unit). …”
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RETRACTED: Application of statistical data analysis algorithms and determination of the most significant diagnostic factors by Rozhkova Alena, Kukartsev Vladislav, Kvesko Mikhail, Glinscaya Anna, Kukartseva Oksana

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New blocked all-pairs shortest paths algorithms operating on blocks of unequal sizes by A. A. Prihozhy, O. N. Karasik

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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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Prediction of late-onset depression in the elderly Korean population using machine learning algorithms by Jong Wan Park, Chang Woo Ko, Diane Youngmi Lee, Jae Chul Kim

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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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Assessment method on protection effectiveness of differential privacy algorithms based on fuzzy influence diagram by TIAN Yuechi, LI Fenghua, ZHOU Zejun, SUN Zhe, GUO Shoukun, NIU Ben

“…In response to the challenge of comprehensively assessing privacy-preserving algorithms, an assessment method on protection effectiveness of differential privacy algorithms based on fuzzy influence diagram was proposed, achieving a multi-perspective assessment of differential privacy algorithms with a comprehensive score and level as assessment results. …”
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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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Comparative Analysis of Tillage Indices and Machine Learning Algorithms for Maize Residue Cover Prediction by Jian Li, Kewen Shao, Jia Du, Kaishan Song, Weilin Yu, Zhengwei Liang, Weijian Zhang, Jie Qin, Kaizeng Zhuo, Cangming Zhang, Yu Han, Yiwei Zhang, Bingrun Sui

“…MRC estimation models were built using six machine learning algorithms, including back propagation neural network (BPNN), random forest (RF), support vector regression (SVR), extreme gradient boosting (XGBoost), Stacking1, and Stacking2. …”
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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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