Design of Rail Grinding Control System by ZENG Hailin, YU Gaoxiang, CHEN Pingsong, XIE Shang, WU Lei

“…The rail grinding control technology was taken as the research object. The principle of PID control algorithm was analyzed, and by contrasting the similarities and differences between the position mode PID algorithm and the increment mode PID algorithm, the design of rail grind control system based on the increment mode PID algorithm was put forward, and the hardware principle and software flow of this control system was introduced in detail. …”
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Improvement the Back-propagation Technique by Nidhal AL-Assady, Baydaa Khaleel, Shahbaa Khaleel

“…This problem leads to search for improvements to speed up this algorithm. In this research we use several methods to speed up the EBP algorithm. …”
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Pulsatile Physiological Control of Blood Pump-Cardiovascular System Based on Feedforward Compensation by Yanjun Bao, Teng Jing, Weimin Ru, Ling Zhou

“…The coupled model of the Rotary Blood Pump and cardiovascular system (CVS) is established in the SIMULINK software as the research object. The designed pulsatile physiological control algorithm contains the feed-forward compensation-based pulsatile control and anti-reflux algorithm, switching the applicable algorithm based on the pump flow. …”
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An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM) by Zhigang Yu, Jiahui Liu, Mingchuan Yang, Yanmin Cheng, Jie Hu, Xinchi Li

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The Improved MNSPI Method for MODIS Surface Reflectance Data Small-Area Restoration by Meixiang Wang, Wenjuan Zhang, Bowen Wang, Xuesong Ma, Peng Qi, Zixiang Zhou

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Superwideband Bandwidth Extension Using Normalized MDCT Coefficients for Scalable Speech and Audio Coding by Young Han Lee, Seung Ho Choi

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Real-Time Recognition of Loading Cycles’ Process Based on Electric Mining Shovel Monitoring by Bonan Wang, Yun Duan, Wei Xu

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SOFT TISSUE RECONSTRUCTION IN PATIENTS WITH SEVERE OPEN TIBIA FRACTURES by E. Y. Shibaev, P. A. Ivanov, A. P. Vlasov, D. A. Kisel, M. P. Lasarev, A. V. Nevedrov, L. L. Tsoglin

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Kalman Filter-Based Indoor Position Tracking with Self-Calibration for RSS Variation Mitigation by Sangwoo Lee, Bongkwan Cho, Bonhyun Koo, Sanghwan Ryu, Jaehoon Choi, Sunwoo Kim

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Predicting the Attraction and Retention of Customers in Sports Pools in Isfahan City Using a Decision Tree: Presenting a Data Mining-Based Model by Seyed Masoud Mirsaeidi, Davood Nasr Esfahani

“…The purpose of this research is collective learning techniques and a combination of classification algorithms in data mining, evaluated the performance of these algorithms to predict whether customers of Isfahan sports pools would drop over a 6-year period. …”
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Emotion recognition in panoramic audio and video virtual reality based on deep learning and feature fusion by Siqi Guo, Mian Wu, Chunhui Zhang, Ling Zhong

“…The average accuracy of the proposed algorithm, XLNet-BIGRU-Attention algorithm, and CNN-BiLSTM algorithm was 98.87%, 90.25%, and 86.21%, respectively. …”
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Blood Scattering Model for Pulsed Doppler by Piotr KARWAT, Andrzej NOWICKI, Marcin LEWANDOWSKI

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VORTEX ELEMENT METHOD SIMULATION OF KNOTTED VORTEX FILAMENTS EVOLUTION by S. A. Dergachev, G. A. Shcheglov

“…Research paper is devoted to the description of a new modification of the algorithm for calculating the vortex filaments motion. …”
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Joint Resource Scheduling of the Time Slot, Power, and Main Lobe Direction in Directional UAV Ad Hoc Networks: A Multi-Agent Deep Reinforcement Learning Approach by Shijie Liang, Haitao Zhao, Li Zhou, Zhe Wang, Kuo Cao, Junfang Wang

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Minimizing the Active Power Losses and Retaining the Voltage Profile of the Distribution System Using Soft Computing Techniques with DG Source by P. Sundararaman, E. Mohan, S. V. Aswin Kumer, Sridhar Udayakumar, Abdissa Fekadu Moti

“…The radial distribution system has lower power losses, best voltage profile, cost of saving the DG source, optimal placing of a suitable rating of the DG source, optimal location of the DG source, and cost of saving the DG source which were achieved in this work. In this research, the distributed load flow analysis is implemented to find the parameters by the forward-backward sweep algorithm. …”
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Calibration and Uncertainty Analysis of Freundlich and Langmuir Isotherms Using the Markov Chain Monte Carlo (MCMC) Approach by Haniyeh Sharifi Moghadam, Saeed Alimohammadi

“…The Metropolis algorithm’s runtime was 5.8 times that of the Gibbs algorithm. …”
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Optimal fusion β-quaternion filtering from delayed observations and packet losses with compensation strategy under properness by J. D. Jiménez-López, R. M. Fernández-Alcalá, F. Gutiérrez-Trujillo, E. Grassucci, D. Comminiello

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Extension Distance-Driven K-Means: A Novel Clustering Framework for Fan-Shaped Data Distributions by Xingsen Li, Hanqi Yue, Yaocong Qin, Haolan Zhang

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Enhancing DBSCAN Accuracy and Computational Efficiency Using Closest Access Point Pre-Clustering for Fingerprint-Based Localization by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak

“…This is benchmarked against the performances of the standard DBSCAN (s-DBSCAN) and k-means++-DBSCAN (k-DBSCAN) algorithms presented in previous research. Simulation results show that the CAP-DBSCAN algorithm consistently outperforms both the s-DBSCAN and k-DBSCAN algorithms, achieving higher silhouette scores, which indicates the generation of more compact and well-defined clusters. …”
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Penentuan Jalur Diagnostik Penyakit Berbasis Konsep Pembelajaran Mesin: Studi kasus Penyakit Hepatitis C by Jimmy Tjen, Valentino Pratama

“…Thus, early detection via precise diagnosis is needed in order to prevent the unfortunate event. This research aims to provide a novel hepatitis C diagnosis based on the machine learning algorithm, which is the classification tree from the decision tree learning and the distance correlation, which measures the Euclidean distance between 2 vectors. …”
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