Application of IRSA-BP neural network in diagnosing diabetes. by Wan-Hua Zhang, Zi-Xun Zhang

“…In the study, the IRSA-BP hybrid algorithm and many other machine learning algorithms were used for diabetes prediction, and the algorithm performance was comprehensively evaluated using multiple classification metrics. …”
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deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria by Yao Xiao, Yan Zhang

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Dynamic Characteristics of a Cylindrical Roller Bearing with Cage Cracks by Yang Yang, Xiaoye Qi, Yongjie Wang, Meiling Wang, Baogang Wen, Jingyu Zhai

“…The derived dynamic differential equations of cylindrical roller bearings were solved by means of the modified Newton–Raphson iterative algorithm and the BDF predictive correction algorithm with automatic variable order and step length. …”
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HARMONIC DRIVE SELECTION by Piotr FOLĘGA

“…It also presents the algorithm correct choice of harmonic drive. The main objective of this study was to develop a computer program that allows the correct choice of harmonic drive by developed algorithm.…”
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Crude Oil Price Prediction Based on a Dynamic Correcting Support Vector Regression Machine by Li Shu-rong, Ge Yu-lei

“…The validity of the algorithm is tested by using three benchmark functions. …”
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Large-Screen Interactive Imaging System with Switching Federated Filter Method Based on 3D Sensor by Lei Yu, Junyi Hou

“…Large-screen human-computer interaction technology is reflected in all aspects of daily life. The dynamic gesture tracking algorithm commonly used in recent large-screen interactive technologies demonstrates compelling results but suffers from accuracy and real-time problems. …”
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An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme by Chengcheng Chen, Xianchang Wang, Helong Yu, Nannan Zhao, Mingjing Wang, Huiling Chen

“…In recent years, swarm-based stochastic optimizers have achieved remarkable results in tackling real-life problems in engineering and data science. When it comes to the particle swarm optimization (PSO), the comprehensive learning PSO (CLPSO) is a well-established evolutionary algorithm that introduces a comprehensive learning strategy (CLS), which effectively boosts the efficacy of the PSO. …”
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基于有限元法的正交面齿轮疲劳特性探究 by 黄永荣

“…Based on the theory of gear geometry,both tooth face and tooth root equations of the orthogonal face gear are deduced according to tooth profile equation of the cutter conjugated to face gear,the tooth surface and tooth root point-cloud of the orthogonal face gear are obtained by compiling Matlab procedures,the solid assemble model of face gear is established by making use of Imageware and UG.The relation between load cycles,mean value and amplitude of the loads are obtained after carrying out rain-flow counting for load histories of real load spectrum in 15 working conditions of cycles.The fatigue life analysis of the face gear is performed by using Brown-Miller algorithm in FE-SAFE,then,the influences law of tooth surface roughness and loads to fatigue life of face gear are studied.The results indicates that the lowest life of face gear occurs at addendum of the meshing position,the life of face gear extends with the decreases of tooth surface roughness and loads,the fatigue life shows sensitization to loads.…”
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Priority Load Management for Improving Supply Reliability of Critical Loads in Healthcare Facilities Under Highly Unreliable Grids by Ndukwe Henry Ibiam, Fadi Kahwash, Jubaer Ahmed

“…Losing electricity in healthcare facilities can be detrimental to human life and the required health services. Thus, it is often necessary to keep critical loads operational even if the grid experiences a blackout. …”
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立磨减速机弧齿锥齿轮副动态疲劳性能研究 by 张明

“…The 3Dcontact finite element model of the input spiral bevel gear pair of vertical mill reducer is built,the flexible-body dynamics simulation analysis of bevel gear pair is carried out by using the LS-DYNA software,and the transient contact force is obtained,the fatigue life of the bevel gear pair is performed by using maximum main stress algorithm in FE-SAFE based on fatigue load spectrum,the S-N curve of the bevel gear pair and stress results of the bevel gear pair under static load.Then,the influence of stress concentration,loads and residual stress on fatigue life of bevel gear pair are studied based on the results above.The results indicate that the life decreases of bevel gear pair with the increase of stress concentration and loads,the fatigue life shows sensitization to loads,the residual tensile stress leads to a reduction of bevel gear pair fatigue life,however,the residual press stress leads to a increase of bevel gear pair fatigue life.…”
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Continuous Gait Phase Estimation for Multi-Locomotion Tasks Using Ground Reaction Force Data by Ji Su Park, Choong Hyun Kim

“…These results demonstrate the wide applicability of the proposed gait phase estimation algorithm using various insole devices, e.g., in walking aid control, gait disturbance diagnosis in daily life, and motor ability analysis.…”
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Discovery of effective infrequent sequences based on maximum probability path by Ke Lu, Xianwen Fang, Na Fang, Esther Asare

“…However, there are some effective infrequent behaviours that help to improve business processes in real life. Most existing studies either ignore them or treat them as harmful behaviours. …”
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Assessment of the Accuracy of Cardiopulmonary Resuscitation Videos in English on YouTube according to the 2015 AHA Resuscitation Guidelines by Burak Katipoğlu, İlker Akbaş, Abdullah Osman Koçak, Muhammet Furkan Erbay, Engin İhsan Turan, Kamber Kasali

“…YouTube videos are insufficient in providing information about the basic life support algorithm and advanced-level information according to the 2015 AHA resuscitation guidelines for health professionals. …”
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Enhancing Energy Efficiency in IoT-WSNs Through Optimized PSO Cluster Head Selection by Muhammad Haris, Haewoon Nam

“…The proposed algorithm is evaluated across various network topologies and compared with four benchmark WSN routing algorithms: LEACH, LEACH-FL, LEACH-FC, and KM-PSO. …”
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Optimal Trajectory Determination and Mission Design for Asteroid/Deep-Space Exploration via Multibody Gravity Assist Maneuvers by Sean Fritz, Kamran Turkoglu

“…The parameters and methods used in the algorithm are explained and justified over multiple real-life interplanetary missions to provide deeper insights into the development choices.…”
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Data Inconsistency Evaluation for Cyberphysical System by Hao Wang, Jianzhong Li, Hong Gao

“…At last, we test our algorithm on both synthetic and real-life datasets; the experiment results show the scalability of our algorithm and the quality of the evaluation result.…”
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Energy-Efficient Task Migration and Path Planning in UAV-Enabled Mobile Edge Computing System by Can Gong, Li Wei, Deliang Gong, Tiantian Li, Fang Feng

“…However, considering the limited battery life and computing capabilities of UAVs, it is challenging to provide energy-efficient services for mobile devices. …”
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Design and Research of Building Indoor Environment Monitoring System Relying on 3D Modeling and Image Processing by Chenguang Liu

“…In addition, this paper establishes a simulation analysis, compares it with several other routing algorithms, and verifies that the proposed algorithm has better balance in network energy consumption and longer network life cycle. …”
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On energy-balanced backpressure routing mechanisms for stochastic energy harvesting wireless sensor networks by Zheng Liu, Xinyu Yang, Peng Zhao, Wei Yu

“…We develop two online policies: (1) Energy-balanced Backpressure Routing Algorithm for lossless networks and (2) Enhanced Energy-balanced Backpressure Routing Algorithm for time varying wireless networks with lossy links. …”
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液压挖掘机工作装置综合优化研究 by 姜饶保, 黄斌, 何清华, 贺继林

“…The backhoe working device of hydraulic excavator is a typical openedchain four-bar mechanism,the distribution of it’s joints is very important to the working performance and useful life.It’s hard to get the satisfactory optimal result by routine methods.So,an integrative optimization model of working device is built to be optimized using genetic algorithm.The experimental results show that the integrative optimization method based on genetic algorithm is faster and more effective than traditional optimization method;the integrative working performance of the improved working device is improved largely.…”
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