Parameter Optimization Method for Predictor–Corrector Guidance With Impact Angle Constraint by Xinwan Kong, Cheng Zhang

“…With the applications of predictor–corrector guidance technology on hypersonic vehicles, the stability and robustness of the predictor–corrector algorithm have become issues of concern. Currently, the key parameters of predictor–corrector guidance law often rely on the designer’s experience and trial-and-error selection. …”
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A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets. by Jiamin Hu, Xiaofan Yang

“…Since large-scale botnets based on the Internet of Things (IoT) have been hotbeds for launching DDoS attacks, it is crucial to defend against DDoS-capable IoT botnets effectively. …”
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Research on Optimal Sensor Placement Based on Reverberation Matrix for Structural Health Monitoring by Hai-feng Yang, Zi-yan Wu, Shu-kui Liu, Hong-bin Sun

“…First, calculate the utmost distance of wave propagation on a special structure by the principle of elastic wave propagation and determine the preliminary number of sensors; second, the utmost distance and number of sensors are applied to a sensor optimization algorithm named Effective Independence Driving-Point Residue method. …”
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An efficient method for network security situation assessment by Xiaoling Tao, Kaichuan Kong, Feng Zhao, Siyan Cheng, Sufang Wang

“…And the low-dimensional data output by hidden layer of stack autoencoding network will be the input data of the error back propagation neural network. Then, the back propagation neural network algorithm is adopted to perform network security situation assessment. …”
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A Reconfigurable 1x2 Photonic Digital Switch Controlled by an Externally Induced Metasurface by Alessandro Fantoni, Paolo Di Giamberardino

“…The input–output model has been defined using a machine learning approach; a high number of images have been generated through simulations, based on the beam propagation algorithm, obtaining a large dataset for an MMI structure under different activation maps of the MOS pixels. …”
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A Modified TCP BBR to Enable High Fairness in High-Speed Wireless Networks by Jinlin Xu, Wansu Pan, Haibo Tan, Longle Cheng, Xiru Li, Xiaofeng Li

“…However, the mobility and channel conditions inherent to wireless networks have the potential to impair the performance of traditional Transmission Control Protocol (TCP) congestion control algorithms (CCAs). …”
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A Handshake Based Ordered Scheduling MAC Protocol for Underwater Acoustic Local Area Networks by Zilong Liao, Deshi Li, Jian Chen

“…Simulation results have confirmed that the proposed protocol can achieve high throughput with low delay and good spatial fairness.…”
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On Training Of Feed Forward Neural Networks by Baghdad Science Journal

“…The above algorithms have a variety of different computation and thus different type of form of search direction and storage requirements, however non of the above algorithms has a global properties which suited to all problems.…”
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Indoor Positioning System based on SSA-ELM Neural Network for Visible Light by JIA Kejun, NIU Zhen, YU Kai, ZHANG Zhicong, PENG Duo, CAO Minghua

“…Compared with the Back Propagation (BP), SSA-BP, and ELM positioning algorithms, the positioning accuracy of the SSA-ELM algorithm is improved by 83.55%, 45.71%, and 26.26%, respectively, while the positioning time is reduced by 36.48%, 17.69%, and 6.61%, respectively. …”
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Research on Hyperspectral Image Reconstruction Based on GISMT Compressed Sensing and Interspectral Prediction by Sheng Cang, Achuan Wang

“…Hyperspectral remote-sensing images have the characteristics of large transmission data and high propagation requirements, so they are faced with transmission and preservation problems in the process of transmission. …”
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Disturbance Rejection and Uncertainty Analysis in Wind Turbines Using Model Predictive Control by Alok Kumar, Atul Kelkar

“…In our work, we propose a Model Predictive Control (MPC) framework with quadratic cost functions, incorporating control input and state constraints to mitigate the challenge of disturbance rejection and uncertainty analysis for the wind turbine operation. We have tailored the algorithm to the practical parameters of the National Renewable Energy Laboratory’s (NREL) Controls Advanced Research Turbine (CART) model. …”
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Exploring nanoparticle dynamics in binary chemical reactions within magnetized porous media: a computational analysis by Saleem Nasir, Abdallah Berrouk, Asim Aamir

“…The present work investigates the applicability of back-propagation artificial neural networks in conjunction with the Levenberg-Marquardt algorithm for evaluating heat transmission in hybrid nanofluids. …”
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Analysis of Fuzzy-Fractional Fornberg–Whitham Models Using Extended He-Laplace Methodology by Mubashir Qayyum, Aneeqa Bilal, Omar Khan, Saraswati Acharya

“…These equations represent wave propagation in scenarios where linear approximations fail due to high nonlinearity and dispersion. …”
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Muloc: Multi-scale combination mask indoor localization network for WiFi based on channel state information by Haoyang Qi, Xin Song, Yuqi Zhang, Lanfeng Li, Zhiao Cao

“…Next, we propose a competitive localization network based on aggregated affinity propagation algorithm. Experiments have been conducted to demonstrate that the proposed algorithm achieves significant improvement compared to other classical algorithms in the indoor environment.…”
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Impact of Weather Factors on Unmanned Aerial Vehicles’ Wireless Communications by Lalan Mishra, Naima Kaabouch

“…The results indicate that atmospheric gases and clouds/fog affect wireless signal propagation; however, the effect of rain on the propagation distances and operating frequencies considered in this study was the most severe. …”
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An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system by Ivan V. Stepanyan, Safa A. Hameed

“…The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm have been combined to create an important working mechanism that aids in this field. …”
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Nonlinear Decoupling Study of Six-Axis Acceleration Sensor Based on Improved BP Neural Network by Jialin Zhang, Chunzhan Yu, Chengxin Du, Zhe Hao, Zhibo Sun

“…Aiming at the problem of nonlinear coupling error in the measurement of parallel six-axis accelerometers, this study improves the back propagation (BP) neural network and proposes an improved BP neural network decoupling model that introduces the gradient descent with momentum and the Levenberg–Marquardt (LM) algorithm. …”
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A Study on the Impact of Rain on Object Detection for Automotive Applications by Diarmaid Geever, Tim Brophy, Dara Molloy, Enda Ward, Brian Deegan, Martin Glavin, Edward Jones

“…In the case of the OCR algorithm, rain is shown to have a larger impact at certain distances. …”
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A Machine Learning Approach for User Behavior Analysis in Developing Websites by Aeesha Shaheen

“…Neural networks trained use back propagation algorithm with sigmoid activation function. …”
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Resource Allocation of Multi-Satellite Beam Hopping Technology Based on System Capacity Maximization by Qing SHU, Xiaoning ZHANG, Zesong FEI

“…Unlike medium and high earth orbit satellites, LEO satellites have the characteristics of small path loss, low propagation delay and high deployment fl exibility.LEO satellites are widely used in real time services, global internet of things, emergency communication and other fi elds.In order to solved the problems of large diff erences in service demand distribution of terrestrial users and low resource utilization in LEO satellite communication systems, a resource allocation algorithm of LEO multi-satellite beam hopping technology based on convex optimization was proposed, which aimed to maximized the system capacity.For multisatellite beam hopping scenarios in LEO satellite communication system, the beam-hopping technology could fl exibly allocated system resources accorded to user needs.Considered the factor of co-channel interference, the service region division scheme based on load balancing and the inter-satellite resource allocation priority scheme was proposed.In order to improved system capacity and resource utilization, it jointly designed a time and power resource allocation algorithm based on convex optimization.The simulation results showed that the proposed scheme could eff ectively reduced co-channel interference and realized the ondemand allocation of system capacity without causing waste of resources.…”
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