Machine Learning Algorithms in Predicting Prices in Volatile Cryptocurrency Markets by Miguel Jiménez-Carrión, Gustavo A. Flores-Fernandez

“…The methodology includes an exploratory data analysis, followed by designing and implementing machine learning (ML) algorithms, focusing on the Long Short-Term Memory (LSTM) neural network. …”
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An Intrusion Detection Approach based on the Combination of Oversampling and Undersampling Algorithms by Ahmet Okan Arık, Gülsüm Çiğdem Çavdaroğlu

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Enhancing High-Temperature Prediction via Sixfold Strategy Consensus-Reaching Processes: A Case Study Using FY-3E Spatiotemporal Remote Sensing Satellite Data by Chao Zhang, Haonan Hou, Arun Kumar Sangaiah, Deyu Li, Wentao Li

“…To address these challenges, an FY-3E RSS data-based HTP model grounded in multigranularity (MG) picture fuzzy (PF) probabilistic rough sets (PRSs) is proposed, complemented by an improved sixfold strategy consensus-reaching process (6FS-CRP) to facilitate meteorologists in consensus reaching. …”
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NONLINEAR BEHAVIOR CALCULATION ALGORITHM FOR THIN-WALLED SYSTEMS by G. M. Murtazaliev, M. M. Payzulaev

“…Analysis of the initial stage of the postbifurcation behavior of structures allows us to assess the degree of danger of reaching a critical state, which is achieved by taking into account the values of the corresponding reliability coefficients in the calculations.…”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…To solve these problems, the YOLOv9s-SD underwater target detection algorithm is proposed to improve the detection performance in underwater environments. …”
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An algorithm for managing surgical patients with acute retinal necrosis by V. V. Neroev, P. A. Ilyukhin, V. E. Tankovsky, R. A. Fedotov

“…To increase the efficiency of surgical treatment and develop an algorithm for managing patients with the consequences of acute retinal necrosis (ARN).Material and methods. …”
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Dust detection algorithm based on improved YOLOv5 by Qinghua CHEN, Junwei ZHANG, Yingsong CHENG, Xu ZHANG, Jianhua CHENG

“…Finally, ablation experiments and comparative experiments were designed to verify the effectiveness of the improved algorithm. The experimental results show that the mean Average Precision (mAP) of the improved algorithm can reach 92.11% and the detection speed reaches 37 frames persecond.…”
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Implementation of sepsis algorithm by nurses in the intensive care unit by Paula Pedroso Peninck, Regimar Carla Machado

“…We obtained satisfactory evaluations on nurses’ performance, but some issues did not reach 50% accuracy. We emphasize the importance of greater numbers of nurses getting acquainted and correctly applying the sepsis algorithm. …”
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Provident garbage collection algorithm for SSD storage system by Xuezhen TU, Zhenjiang Huang, Zhengguang CHEN

“…A predictive based proactive garbage collection algorithm was proposed.Firstly,the data was separated according to different heat factors,then the upper and lower predictions were performed on the number of different types of page allocation requests (PAR) that would be reached in the future.While satisfying the page allocation request lower prediction,the PAR upper prediction requirement was maximally satisfied,the WA problem was optimized,and invalid effective data migration was reduced,thereby maximizing the garbage collection utility.A mathematical model was defined for this problem,and an algorithm for obtaining the approximate optimal solution was given.The applicable scenario of the model was analyzed.The practical results show that the algorithm can obtain the maximum benefit and can significantly improve the performance of SSD and reduce the cost.…”
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AdaBoost algorithm based on fitted weak classifier by Pengfeng SONG, Qingwei YE, Zhihua LU, Yu ZHOU

“…AdaBoost algorithm was proposed to minimize the accuracy caused by weak classifiers by minimizing the training error rate,and the single threshold was weaker and difficult to converge.The AdaBoost algorithm based on the fitted weak classifier was proposed.Firstly,the mapping relationship between eigenvalues and marker values was established.The least squares method was introduced to solve the fitting polynomial function,and the continuous fitting values were converted into discrete categorical values,thereby obtaining a weak classifier.From the many classifiers obtained,the classifier with smaller fitting error was selected as the weak classifier to form a new AdaBoost strong classifier.The UCI dataset and the MIT face image database were selected for experimental verification.Compared with the traditional Discrete-AdaBoost algorithm,the training speed of the improved algorithm was increased by an order of magnitude.And the face detection rate can reach 96.59%.…”
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Development AES Algorithm to Encryption Images and Sounds Files by Mohammed Al-Zubaidy

“…In this research, the Advanced Encryption Standard (AES) algorithm was developed, the AES is used for encryption and decryption the images and sounds files by expanding the block size of data to reach the maximum size of 512 bit instead 128 bit/cycle, by using the Thread API techniques, which is a break off CPU working for increasing times taken the inline encrypt or decrypt operations. …”
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Network intrusion detection based on improved KNN algorithm by Hongsheng Bao, Jie Gao

“…An initial K-nearest neighbor algorithm based on representative points is proposed. …”
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Infrared image monitoring algorithm for converter valve equipment by Jiashui Dai, Fali Tan, Yi Jiang, Yunlong Liang, Kangquan Lin, Kai Tong

“…In the corresponding converter valve infrared image dataset, mAP can reach 87.8%, which is 2.5% higher than the original model, and the number of algorithm parameters is also lower, reducing by 18.8%.…”
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Diversified caching algorithm with cooperation between edge servers by Yongxuan Sang, Yukang Guo, Bo Wang, Ying Song

“…After the service request reaches the server, if it misses, the proposed algorithm will judge whether the neighbor node can provide services through the cache information of the neighbor node, and then the server and the neighbor node jointly decide how to cache the service. …”
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Pulmonary hemorrhage in oncologic patients – a diagnostic algorithm by R. S. Kiselev, E. A. Tarabrin, Z. G. Berikkhanov, V. A. Savelieva, Yu. V. Kutilin, M. Yu. Ivanova

“…The OBJECTIVE was to develop a diagnostic algorithm in oncologic patients with pulmonary hemorrhage.METHODS AND MATERIAL. …”
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Research on the Raft improved algorithm for anti-Byzantine nodes by WANG Xiaowei, LI Jie

“…On the anti-Byzantine， error logs were not identified in Raft algorithm， while the error log recognition rate of AntiB-Raft algorithm can reach 100%， meanwhile the consensus delay was 28% lower than the existing algorithm RB-Raft.ConclusionsThe proposed algorithm AntiB-Raft had the capability of anti-Byzantine and reduced consensus delay compared with the existing algorithm RB-Raft and its efficiency was improved significantly.…”
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Parallel lightweight Block Cipher algorithm for Multicore CPUs by Hawraa J. Hamiza, Ahmed Fanfakh

“…The average speedup compared to the sequential version of the proposed algorithm and its parallel implementation is 4.70. …”
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Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

“…Image- and video-based yield estimation accuracies reached 89–96% and 75–93%, respectively, with single-frame latency as low as 0.047 s. …”
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Raising a Child to Live in Society – Personality Traits Parents Develop and Prevent from Developing in their Preschool Children by Agnieszka Szymańska, Elżbieta Aranowska

“…Analyses were carried out using two data mining algorithms: (a) text mining algorithms, (b) support vector machine and (c) social network analysis, and (d) Aranowska's λ judge agreement coefficient.The results revealed that parents of preschool children care mainly about the development of competency traits, especially self-reliance. …”
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Analysis of constant modulus blind equalization algorithms base on "data reuse" by XU Hua1, ZHENG Hui2, ZHANG Dong-mei3

“…The constant modulus blind equalization algorithm based on "data reuse" could be used to solve the problem of blind equalization of short burst signals,but its important properties hadn’t been studied.The ill-convergence caused by data reuse was analyzed and the restriction was given firstly,and secondly,the conditions of data reuse constant modulus algorithm reaching to the performance of long time signals equalization was analyzed in detail and gave the corresponding results.The validity of these analyses is proved by computer simulation.…”
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