Effects and Risks of Distance Learning in Higher Education by Yu. M. Tsygalov

“…However, the assessment of such training by the population and students in publications and in social networks was predominantly negative and showed that the number of emerging problems exceeds the possible benefits of the new educational technology. …”
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An Enhanced Forwarding Method based on Intelligent Water Drops Algorithm in Named Data Network by HamidReza Afzal, Behrang Barekatain, Zahra Beheshti

“…According to the recent limited researches, using service quality parameters beside an optimization algorithm like ant colony to find the optimal path has been an appropriate response to solve this problem. Not considering the service quality parameters sufficiently to find an optimal path is a problem to be focused more on. …”
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Signal-to-event encoding parameter selection for multiple event classification with spiking neural networks by Mateusz Pabian, Dominik Rzepka, Mirosław Pawlak, Mirosław Pawlak, Marek Miśkowicz, Ryszard Sroka

“…This paper studies the problem of optimal event-based signal encoding if data are to be processed by a machine learning model, such as the spiking neural network (SNN). …”
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A Statistical Analysis Based Probabilistic Routing for Resource-Constrained Delay Tolerant Networks by Jixing Xu, Jianbo Li, Shan Jiang, Chenqu Dai, Lei You

“…We further propose an optimal message schedule policy, by modeling the buffer management problem as 0-1 knapsack, of which the maximum delivery probability sum can be achieved by resorting to the back track technique. …”
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Metamodel-Based Optimization Method for Traffic Network Signal Design under Stochastic Demand by Wei Huang, Xuanyu Zhang, Haofan Cheng, Jiemin Xie

“…Traffic network design problems (NDPs) play an important role in urban planning. …”
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Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network by Xiao-tong MA, Shun-fu JIN, Jian-ping LIU, Zhan-qiang HUO

“…Spectrum utilization can be improved in cognitive radio network (CRN), however, the problem of increasing communication energy consumption was also brought. …”
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Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network by Xiao-tong MA, Shun-fu JIN, Jian-ping LIU, Zhan-qiang HUO

“…Spectrum utilization can be improved in cognitive radio network (CRN), however, the problem of increasing communication energy consumption was also brought. …”
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Cross-domain service chain mapping mechanism based on Q-learning by Hongqi ZHANG, Rui HUANG, Yingjie YANG, Dexian CHANG, Liancheng ZHANG

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Centralized and Decentralized Signal Control with Short-Term Origin-Destination Demand for Network Traffic by Can Zhang, Tony Z. Qiu, Amy Kim

“…Because the optimization of large-scale network traffic signals can involve sizeable numbers of decision variables and nonlinear constraints, making it a nondeterministic polynomial time (NP) complete problem, we further decompose the centralized system into a decentralized system where the network is divided into subnetworks. …”
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Cooperative Passenger Inflow Control in Urban Mass Transit Network with Constraint on Capacity of Station by Jianyuan Guo, Limin Jia, Yong Qin, Huijuan Zhou

“…In urban mass transit network, when passengers’ trip demands exceed capacity of transport, the numbers of passengers accumulating in the original or transfer stations always exceed the safety limitation of those stations. …”
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To associate or not to associate? A user-based threshold scheme for 5G and beyond networks by Naor Zohar

“…Simulation results demonstrated that the suggested UA scheme can potentially reduce the required network bandwidth resources by up to 25%and significantly reduce the service blocking probability and the average waiting time for service.…”
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Application analysis of computer vision and image recognition based on improved VGG16 network by Xuanzhang Zhu, Yafei Li

“…Abstract As science and technology rapidly advance, the image recognition technology currently employed in the field of computer vision suffers from the drawback of inadequate recognition effectiveness. In response to this problem, an improved deep convolutional neural network model is introduced to recognize visual images to raise the precision of image recognition. …”
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RGB-D Image Saliency Detection Based on Multi-branch Backbone Supervised Network by WANG Wei-bing, ZHANG Xiao-zhuo, DENG Qiang

“…Aiming at the problem that the existing RGB-D image saliency detection technology is difficult to fully explore the effective information of depth image and can not effectively integrate RGB features and deep features, an RGB-D image saliency detection method under multi-branch backbone supervision network is proposed. …”
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Application of Principal Component Analysis-Assisted Neural Networks for the Rotor Blade Load Prediction by Jiahong Zheng, Shuaike Jiao, Ding Cui

“…This paper presents a novel approach of principal component analysis- (PCA-) assisted back propagation (BP) neural networks for the problem of rotor blade load prediction. 86.5 hours of real flight data were collected from many steady-state and transient flight maneuvers at different altitudes and airspeeds. …”
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Image Super Resolution Reconstruction Based on Multi-Level Residual Skip Connection Network by WANG Xiaoyu, LU Jianyu, WEI Yuxin, YU Yue

“…Image super-resolution reconstruction technology can convert low-resolution images into high-resolution images with higher pixel density and clearer details, and plays an important role in military and medical fields. Aiming at the problem of insufficient processing of texture details and color restoration degree in existing image super-resolution reconstruction algorithms, a multi-level residual skip connection network (MRSCN) based on coordinate attention mechanism is proposed and applied to the SRGAN model to realize full utilization of low-resolution image features. …”
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Perspective Transformation and Viewpoint Attention Enhancement for Generative Adversarial Networks in Endoscopic Image Augmentation by Laimonas Janutėnas, Dmitrij Šešok

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Investigating the Threatening Pollution of the Drinking Water Distribution Network (Case Study: Astara City) by Mohammad Golshan

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Wireless body area network: Architecture and security mechanism for healthcare using internet of things by Arun Kumar, Ritu Dewan, Wisam Subhi Al-Dayyeni, Bharat Bhushan, Jayant Giri, Sardar MN Islam, Ahmed Elaraby

“…The most difficult component of TLS is determining how to handle reliability. Low-power wireless networks employ the Datagram Transport Layer Security (DTLS) protocol to solve this problem. …”
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Wireless sensor network positioning technology based on improved sampling box and fuzzy reasoning by Ningyun Dan, Lun Zhao, Wenjin Pan, Yan Cai

“…This study proposes a wireless sensor network positioning technology based on improved sampling boxes and fuzzy reasoning to address the problem of low positioning accuracy and efficiency of traditional positioning methods in resource constrained environments. …”
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Hybrid and Multi-Hop Advanced Zonal-Stable Election Protocol for Wireless Sensor Networks by Fakhri Alam Khan, Majid Khan, Muhammad Asif, Afsheen Khalid, Inam Ul Haq

“…These sensor nodes have limited energy as they are battery powered. To reduce this problem, several routing protocols are designed in order to minimize energy consumption and increase the lifetime of the sensor network. …”
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