Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey by Kamal Taha, Paul D. Yoo, Chan Yeun, Aya Taha

Subjects: “…big data algorithms…”
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Cluster validity indices for automatic clustering: A comprehensive review by Abiodun M. Ikotun, Faustin Habyarimana, Absalom E. Ezugwu

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IoT-enabled stepped basin solar stills: Advanced optimization with PSO and ABC algorithms by McLuret, S. Joe Patrick Gnanaraj, Vanthana Jeyasingh

Subjects: “…Artificial Bee Colony (ABC) Algorithm…”
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Strong Convergence Iterative Algorithms for Equilibrium Problems and Fixed Point Problems in Banach Spaces by Shenghua Wang, Shin Min Kang

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Multi-Component Temporal-Correlation Seismic Data Compression Algorithm Based on the PCA and DWT by Mateus Martinez de Lucena, Josafat Leal Ribeiro, Matheus Wagner, Antônio Augusto Fröhlich

Subjects: “…compression algorithms…”
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Study on the Noise Reduction of Vehicle Exhaust NOX Spectra Based on Adaptive EEMD Algorithm by Kai Zhang, Yujun Zhang, Kun You, Ying He, Qiankun Gao, Guohua Liu, Chungui He, Yibing Lu, Boqiang Fan, Qixing Tang, Wenqing Liu

“…The parameter settings of the algorithms above are not transcendental, so with them, it is difficult to achieve the best noise reduction effect for the vehicle exhaust spectra which are sharp and drastic in the waveform. …”
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Decision Tree Algorithm for Visual Art Design in a Psychotherapy System for College Students by Han Wang, Xiang Ji, Dandan Zhang

“…Based on the above association pattern mining results, a series of preprocessing operations were performed on the data, and then, the Apriori algorithm was applied to discover the potential association relationships among 9 psychological dimension factors of college students, and then, the ID3 decision tree algorithm was used to construct a decision tree and pruning process, from which the classification rules of students’ psychological problems were analyzed and discovered. …”
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An improved gray wolf optimization algorithm solving to functional optimization and engineering design problems by Yihui Qiu, Xiaoxiao Yang, Shuixuan Chen

Subjects: “…Grey wolf algorithm…”
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Application of Improved Naive Bayesian-CNN Classification Algorithm in Sandstorm Prediction in Inner Mongolia by Li Tiancheng, Ren Qing-dao-er-ji, Qiu Ying

“…This paper used two algorithms, naive Bayesian algorithm and CNN algorithm, to identify and diagnose the strength of sandstorm in Inner Mongolia and found that combining the two algorithms, INB-CNN classification algorithm had the greatest success in predicting the occurrence of sandstorms.…”
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Hybrid Extragradient Iterative Algorithms for Variational Inequalities, Variational Inclusions, and Fixed-Point Problems by Lu-Chuan Ceng, Ching-Feng Wen

“…Motivated by Nadezhkina and Takahashi's hybrid-extragradient method, we propose and analyze new hybrid-extragradient iterative algorithm for finding a common solution. It is proven that three sequences generated by this algorithm converge strongly to the same common solution under very mild conditions. …”
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A randomized block policy gradient algorithm with differential privacy in Content Centric Networks by Lin Wang, Xingang Xu, Xuhui Zhao, Baozhu Li, Ruijuan Zheng, Qingtao Wu

“…Current policy gradient algorithms impose high computational cost in processing high-dimensional data. …”
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Prediction of Dissolved Oxygen Concentration in Sewage Treatment Process Based on Data Recognition Algorithm by Lili Ma, Jiangping Liu

“…In the improved algorithm, in order to improve the quality of the initial members of the basic fireworks algorithm, the chaos algorithm is integrated. …”
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Parameter Identification of the 2-Chlorophenol Oxidation Model Using Improved Differential Search Algorithm by Guang-zhou Chen, Jia-quan Wang, Ru-zhong Li

“…Then, to address the nonlinearity of the model, two improved differential search (DS) algorithms were proposed to carry out the parameter identification of the model. …”
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Optimization of Rendering Parameters of Cesium 3DTiles Model Based on Differential Evolution Algorithm by Doujun Zhang, Yong Wu, Youcong Ni, Tinghuang Zhang, Chenxiang Gao

Subjects: “…differential evolutionary algorithms…”
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Application of Low-Frequency Processing Method Based on VMD Algorithm in Blasting Signal Processing by Bei Jia, Shenglin Li, Dianshu Liu, Shuaifeng Wu

“…In this paper, the parameter selection of VMD algorithm to identify low-frequency noise of blasting signal is optimized by simulation experiment. …”
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Generalizing the Brady-Yong Algorithm: Efficient Fast Hough Transform for Arbitrary Image Sizes by Danil D. Kazimirov, Ekaterina O. Rybakova, Vitalii V. Gulevskii, Arseniy P. Terekhin, Elena E. Limonova, Dmitry P. Nikolaev

Subjects: “…Brady-Yong algorithm…”
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Algorithm for determining the operating parameters of an electrical network in the problem of optimal reconfiguration in real time by Vladislav A. Rokhlov, Rustam N. Khamitov, Sergey N. Zherebtsov, Anastasia A. Latyntseva

“…The authors have developed an algorithm for determining the parameters of the electric network operating mode when determining its optimal configuration. …”
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An Approximate Cone Beam Reconstruction Algorithm for Gantry-Tilted CT Using Tangential Filtering by Ming Yan, Cishen Zhang, Hongzhu Liang

“…FDK algorithm is a well-known 3D (three-dimensional) approximate algorithm for CT (computed tomography) image reconstruction and is also known to suffer from considerable artifacts when the scanning cone angle is large. …”
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Investigating AI systems: examining data and algorithmic bias through hermeneutic reverse engineering by Nishanshi Shukla

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Improving Diabetic Patients Monitoring System Using (NCA-CNN) Algorithm based on loT by Ayas Talib Mohammad, Jaber Parchami

“…The Neighbourhood Component Analysis-Convolutional Neural Network (NCA-CNN) approach that we have presented involves two stages: the first stage involves picking the most important features from all of the data, and the second stage involves categorizing the chosen features. The NCA algorithm is a mathematical method that rates the characteristics based on the results of an analysis of the data and picks the most significant aspects. …”
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