A Comprehensive Survey on Machine and Deep Learning for Optical Communications by Mohammad Ali Amirabadi, S. Alireza Nezamalhosseini, Mohammad Hossein Kahaei, Lawrence R. Chen

“…Specific emphasis is placed on identifying how these algorithms enhance system performance and optimization. …”
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Artificial intelligence in molecular and genomic prostate cancer diagnostics by A. O. Morozov, A. K. Bazarkin, S. V. Vovdenko, M. S. Taratkin, M. S. Balashova, D. V. Enikeev

“…They have the potential to develop artificial intelligence (AI) algorithms by processing large amounts of data and define connections between them.Objective. …”
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Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses by Tansel Dokeroglu, Seyyit Alper Sert, Muhammet Serkan Cinar

“…In order to investigate the effectiveness of our approach, we incorporate the devised algorithms into a prototype system. Finally, through several experiments that we have conducted with different workloads and virtual resource configurations, we conclude remarkable findings of alternative deployments as well as the advantages and disadvantages of the multiobjective algorithms we propose.…”
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Ballistic Target Tracking with Use of Cinetheodolites by Piotr Kaniewski, Piotr Smagowski, Stanislaw Konatowski

“…The paper describes a model-based algorithm of estimation of position and parameters of target motion for such a system, developed by the authors. …”
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A Stochastic Total Least Squares Solution of Adaptive Filtering Problem by Shazia Javed, Noor Atinah Ahmad

“…The TLMS algorithm is computationally simpler than the other TLS algorithms and demonstrates a better performance as compared with the least mean square (LMS) and normalized least mean square (NLMS) algorithms. …”
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Shallow Model and Deep Learning Model for Features Extraction of Images by Saba Qasim Hasan

“…These properties make it possible to characterize the issue and create models that explain a system or process. A variety of image preparation techniques or data sets, Different approaches are done to obtain a feature that will be used for artificial intelligence (AI) algorithms that projects involving ML or the trendiest and most well-liked fields, including deep learning. …”
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Analysis of the most Important Concepts Related to Social Distancing as A Result of COVID-19 Pandemic: A Review by Hiyam Hashem Saeed, Abdulbasit Alazzawia

“…The methods and knowledge of the basic algorithms used by previous researchers and studies, as well as the data set that can be used to evaluate algorithms that can tell when a distance is safe. …”
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Minimal coverage of generalized typed inclusion dependencies in databases by Sergey V. Zykin

“…The paper discusses the theory and algorithms necessary to construct a minimal covering of generalized typed inclusion dependencies. …”
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An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

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Real-Time Railway Hazard Detection Using Distributed Acoustic Sensing and Hybrid Ensemble Learning by Yusuf Yürekli, Cevat Özarpa, İsa Avcı

“…However, the Voting Classifier hybrid model was developed using SVM, RF, XGBoost, and GBC algorithms. The signaling system on the railway line provides critical information for safety by detecting environmental factors. …”
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A Novel Concept for Guidance and Control of Spacecraft Orbital Maneuvers by Matteo Dentis, Elisa Capello, Giorgio Guglieri

“…The purpose of this paper is the design of guidance and control algorithms for orbital space maneuvers. A 6-dof orbital simulator, based on Clohessy-Wiltshire-Hill equations, is developed in C language, considering cold gas reaction thrusters and reaction wheels as actuation system. …”
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Load Balancing for Future Internet: An Approach Based on Game Theory by Shaoyi Song, Tingjie Lv, Xia Chen

“…The advantages of our algorithm are better scalability to the model, improving system performance, and low cost on maintaining system information.…”
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A survey of streaming data anomaly detection in network security by Pengju Zhou

“…It systematically categorizes and elucidates the various types of datasets, measurement techniques, detection algorithms, and output results of streaming data. …”
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Quality control of radiotherapy treatment plans with electrons by Luciana Tourinho Campos, Luiz Ribeiro da Rosa, Delano Valdivino Batista, Delson Braz

“…The verification system has been validated against the Monte Carlo method and the experimental data with an ionization chamber and showed the shortcomings of generalized pencil beam and eMC algorithms.…”
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Application and prospects of machine learning for rockfalls, landslides and debris flows by Jiazhu WANG, Yongbo TIE, Yongjian BAI, Yanchao GAO, Donghui WANG, Mingzhi ZHANG

“…Artificial intelligence, notably machine learning algorithms, has emerged as a hot point in this domain. …”
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Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease by Qiao Shi, Yajing Hao, Huixian Liu, Xiaoling Liu, Weiqiang Yan, Jun Mao, Bihong T. Chen

“…A machine learning classification system was constructed by combining six selected radiomics features with eight classification algorithms. …”
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Predicting Students’ Performance Using a Hybrid Machine Learning Approach by Ropafadzo Duwati, Tawanda Mudawarima

“…Learning institutions have amassed volumes of educational data from sources such as learning management systems and academic databases. This presents an opportunity for learning institutions to predict students’ performance using Machine Learning (ML) techniques. …”
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Hybrid Extragradient Methods for Finding Zeros of Accretive Operators and Solving Variational Inequality and Fixed Point Problems in Banach Spaces by Lu-Chuan Ceng, Ching-Feng Wen

“…We establish some strong convergence theorems for hybrid implicit and explicit extra-gradient algorithms under suitable assumptions. Furthermore, we derive the strong convergence of hybrid implicit and explicit extragradient algorithms for finding a common element of the set of zeros of an accretive operator and the common fixed point set of an infinite family of nonexpansive self-mappings and a self-mapping whose complement is strictly pseudocontractive and strongly accretive in X. …”
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EFFECTIVE MODELS AND SCHEMES OF CYCLIC ACTION DIGITAL DEVICES by N. I. Gudko

“…They includecoders and decoders of information transfer system, control units of processors, generators of codes, counters, distributors of impulses etc. …”
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A novel machine learning architecture to improve classification of intermediate cases in health: workflow and case study for public health by Bassel Hammoud, Aline Semaan, Lenka Benova, Imad H. Elhajj

“…The validation experiments yielded similar results with improved accuracies for most algorithms when compared to the single classifier architecture. …”
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