Effect of International Technology Transfer on the Technical Efficiency of High-Tech Manufacturing in China: A RAGA-PP-SFA Analysis by Shuzhen Zhou, Qunzhao Deng, Feng Peng

“…By integrating stochastic frontier analysis (SFA) and projection pursuit (PP) based on the real-coded accelerated genetic algorithm (RAGA), this study constructed a RAGA-PP-SFA model that considers undesirable outputs. …”
Get full text

Inverse Kinematics Optimization Method of a 6-DOF Robot by Jian Wang, Yu Ao

“…Aiming at the problem of difficulty and uncertainty of object attitude recognition， a 6-axis robot attitude solution algorithm based on object position information is proposed. …”
Get full text

Fault Identification of Rolling Bearing Using Variational Mode Decomposition Multiscale Permutation Entropy and Adaptive GG Clustering by Tianjing He, Rongzhen Zhao, Yaochun Wu, Chao Yang

“…Finally, low-dimensional sensitive features obtained by principal component analysis (PCA) are fed into the adaptive GG clustering algorithm to perform fault identification. In this method, the residual energy ratio is used to find the optimal parameter K of the VMD and the PBMFfunction is incorporated into the GG to determine the number of clusters adaptively. …”
Get full text

Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network by Fei Zhang, Yuntao Zhao, Jian Shao

“…When its original function is transferred with a transfer function, the uniform differential evolution algorithms can quickly solve complex optimization problems. …”
Get full text

A Formal Approach to Optimally Configure a Fully Connected Multilayer Hybrid Neural Network by Goutam Chakraborty, Vadim Azhmyakov, Luz Adriana Guzman Trujillo

“…Concretely, we consider the generalized reduced-gradient algorithm in the framework of the auxiliary switched OCP.…”
Get full text

Extended Object Tracking Based on Gaussian Process in Non-Gaussian Noise Environment by Lifan Sun, Yongning Wang, Dan Gao

“… Extended object tracking (EOT) is a prominent research area in high-resolution radar surveillance, ship tracking, and video tracking. However, EOT algorithms are susceptible to non-Gaussian noise from factors such as sensor performance and environmental conditions. …”
Get full text

Applying Data Clustering Feature to Speed Up Ant Colony Optimization by Chao-Yang Pang, Ben-Qiong Hu, Jie Zhang, Wei Hu, Zheng-Chao Shan

“…In this paper an improved ACO algorithm is presented, which firstly divided all data into local clusters and calculated small TSP routes and then assembled a big TSP route with them. …”
Get full text

Fast Spectral Clustering via Efficient Multilayer Anchor Graph by Yiwei Wei, Chao Niu, Dejun Liu, Peinan Ren

“…Against this backdrop, a novel algorithm named fast spectral clustering via efficient multilayer anchor graph (FEMAG) is proposed to resolve the accuracy and time-consuming trade-off problem. …”
Get full text

PaTAVTT: A Hardware-in-the-Loop Scaled Platform for Testing Autonomous Vehicle Trajectory Tracking by Zhigang Xu, Mingliang Wang, Fengzhi Zhang, Sheng Jin, Jin Zhang, Xiangmo Zhao

“…Further, a simplified vehicle dynamics model and a trajectory tracking algorithm have been considered to build the simulation test. …”
Get full text

Autonomous Robotic Manipulation: Real-Time, Deep-Learning Approach for Grasping of Unknown Objects by Malak H. Sayour, Sharbel E. Kozhaya, Samer S. Saab

“…Our approach aims at reducing propagation errors and eliminating the need for complex hand tracking algorithm, image segmentation, or 3D reconstruction. …”
Get full text

Intelligent Wireless Sensor Network Sensor Selection and Clustering for Tracking Unmanned Aerial Vehicles by Edward-Joseph Cefai, Matthew Coombes, Daniel O’Boy

“…The developed optimisation algorithm results in reducing the size of selected sensor clusters by an average of 50% while still maintaining the tracking performance of general traditional techniques.…”
Get full text

Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation by Yechen Qin, Mingming Dong, Reza Langari, Liang Gu, Jifu Guan

“…To achieve this, analytical expressions for ride comfort, road handling, and rattle space with respect to road input are derived based on the hybrid control, and the problem is transformed into a MOOP (Multiobjective Optimization Problem) and has been solved by NSGA-II (Nondominated Sorting Genetic Algorithm-II). A new road estimation and classification method, which is based on ANFIS (Adaptive Neurofuzzy Inference System) and wavelet transforms, is then presented as a means of detecting the road profile level, and a Kalman filter is designed for observing unknown states. …”
Get full text

Identification of the Hub Genes Involved in Stem Cell Treatment for Intervertebral Disc Degeneration: A Conjoint Analysis of Single-Cell and Machine Learning by Jianfeng Chen, Fuwei Qi, Guanshen Li, Qiaosong Deng, Chenlin Zhang, Xiaojun Li, Yafeng Zhang

“…The critical genes identified by the machine learning algorithm could provide new perspectives on IDD.…”
Get full text

Automatic Image Colorization Based on Convolutional Neural Networks by L. V. Serebryanaya, V. V. Potaraev

“…Experiments shown that developed model determines image color quite correctly. Proposed algorithm allows to use convolutional neural network for colorizing black-and-white images, for color correction of pictures, etc.…”
Get full text

Generalized Heptagonal Membership Function for Fully Fuzzy Linear Fractional Programming Problems by Israa Hadi, Iden H. Al Kanani

“…Several approaches, including linear programming, nonlinear programming, genetic algorithms, and computational intelligence algorithms, have been suggested to handle fully fuzzy fractional linear programming (FFFL) problems. …”
Get full text

A hybrid model for smart grid theft detection based on deep learning by Yinling LIAO, Jincan LI, Bing WANG, Jun ZHANG, Yaoyuan LIANG

“…A hybrid deep learning model was proposed to effectively detect electricity theft in smart grids.The hybrid model employed a deep learning convolutional neural network (AlexNet) to tackle the curse of dimensionality, significantly enhancing data processing accuracy and efficiency.It further improved classification accuracy by differentiating between normal and abnormal electricity usage using adaptive boosting (AdaBoost).To resolve the issue of class imbalance, undersampling techniques were utilized, ensuring balanced performance across various data classes.Additionally, the artificial bee colony algorithm was used to optimize hyperparameters for both AdaBoost and AlexNet, effectively boosting overall model performance.The effectiveness of this hybrid model was evaluated using real smart meter datasets from an electricity company.Compared to similar models, this hybrid model achieves accuracy, precision, recall, F1-score, Matthews correlation coefficient (MCC), and area under the curve-receiver operating characteristic curve (AUC-ROC) scores of 88%, 86%, 84%, 85%, 78%, and 91%, respectively.The proposed model not only increases the accuracy of electricity usage monitoring, but also offers a new perspective for intelligent analysis in power systems.…”
Get full text

PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture by Kanokmon Rujirakul, Chakchai So-In, Banchar Arnonkijpanich

“…Thus, this research presents an alternative approach utilizing an Expectation-Maximization algorithm to reduce the determinant matrix manipulation resulting in the reduction of the stages’ complexity. …”
Get full text

Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation by Mengdi Wang, Anrong Xue, Huanhuan Xia

“…Experimental results show that the proposed algorithm can reduce the impact of interference factors and the rate of the false alarm effectively; it can also improve the accuracy of event detection.…”
Get full text

Inversion Calculation Analysis of Operational Tunnel Structure Based on the Distributed Optical-Fiber Sensing System by Jie Zhao, Jiang Feng, Liang Ren

“…In the end, this paper carries out parameter identification based on the differential evolution algorithm. Achievements of the study proved that real-time safety warning could be realized inside the tunnel by monitoring the deformation parameters of tunnel vault at real time relying on the optical-fiber sensing system of the optical time domain reflectometer (OTDR). …”
Get full text

High-Speed Target Identification System Based on the Plume’s Spectral Distribution by Wenjie Lang, Guoguang Chen, Xiaoli Tian, Changfan Xin

“…The distinguishing factor recognition algorithm was designed on basis of ratio of multifeature band peaks and valley mean values. …”
Get full text