An Optimization Ranking Approach Based on Weighted Citation Networks and P-Rank Algorithm by Jian-feng Jiang, Shen Xu, Lan-tao You

“…The proposed approach employs two hyperbolic tangent functions to calculate the corresponding age of articles and the number of citations, while also updating the link relationships of each paper node in the citation network. …”
Get full text

Smart Wireless Sensor Networks (WSNs): A Review on Concepts, Techniques, and Applications by Ali Hassan Sial, Muhammad Shafiq, Zubair Sajid Sial, Saleem Ahmed

“…Seemingly, there are a wide variety of applications available in the dimensions of WSNs in terms of application design aspects, the main aim is to enable the functional aspects for a longer time duration. The key element focuses on the way the network is designed and how the survey conducted presents more recent developmental strategies and methods for the WSNs. …”
Get full text

Network Nature of Translation Constellations: Translation Department at a Regional Commercial Enterprise by E. S. Krasnopeyeva, S. S. Kraeva

“…This article presents an exploratory study conducted using functional and sociocognitive approaches in light of the “material turn” in Translation Studies. …”
Get full text

Systematic review and network meta-analysis on the efficacy and safety of parmacotherapy for hand osteoarthritis. by Ruiqi Wu, Qinglin Peng, Weiwei Wang, Jixian Zheng, Yi Zhou, Qipei Yang, Xuan Zhang, Hongyu Li, Lin Meng

“…Despite the diverse array of treatments, determining the optimal regimen remains elusive. This study seeks to conduct a network meta-analysis to assess the effectiveness and safety of various drug intervention measures in the treatment of hand osteoarthritis. …”
Get full text

Heterogeneous Cognitive Radio Sensor Networks for Smart Grid: Markov Analysis and Applications by Ling Luo, Jian Zhou, Ping Ling, Sumit Roy, Zhiyong Chen, Xiaofan Li

“…Cognitive radio sensor networks (CRSN) have the potential to vastly improve spectrum utilization among heterogeneous applications for smart grid. …”
Get full text

Comparing New Wireless Sensor Network Protocols through Simulation and Data Analysis by Himanshu Agarwal, Atul Pratap Singh, Ajeet Singh, Amit Kumar, Pratik K. Agrawal, S. Saranya

“…The resource-constrained nature of wireless sensor networks (WSNs) creates a number of difficulties in their operation and design that lower their performance. …”
Get full text

Navigating Legal Implications: The Impact of Enhanced Smartphone Integration on Security in Organizational Networks by Kenneth Ohei

“…The escalating integration of smartphones within organizational frameworks has been driven by their augmented functionality, especially pertinent during the global pandemic. …”
Get full text

Improving Performance through REST Open API Grouping for Wireless Sensor Network by Min Choi, Young-Sik Jeong, Jong Hyuk Park

“…In this research, we design Internet of things architecture, especially for wireless sensor networks. The architecture consists of wireless sensor networks with a microcontroller at the very bottom level. …”
Get full text

Hybrid analytical and neural-network approaches to the non-local short pulse equation by H. W. A. Riaz, Aamir Farooq

“…To investigate model sensitivity and robustness, we explore multiple activation functions and network architectures, and introduce Gaussian noise at 1%, 2%, and 3% levels to both training and testing datasets. …”
Get full text

Biomimetic Visual Information Spatiotemporal Encoding Method for In Vitro Biological Neural Networks by Xingchen Wang, Bo Lv, Fengzhen Tang, Yukai Wang, Bin Liu, Lianqing Liu

“…The integration of in vitro biological neural networks (BNNs) with robotic systems to explore their information processing and adaptive learning in practical tasks has gained significant attention in the fields of neuroscience and robotics. …”
Get full text

Self-supervised multi-stage deep learning network for seismic data denoising by Omar M. Saad, Matteo Ravasi, Tariq Alkhalifah

“…The first sub-network serves as a strong denoiser with a small number of neurons, effectively attenuating seismic noise; in contrast, the second sub-network functions as a signal-add-back model, using a larger number of neurons to retrieve some of the signal that was not preserved in the output of the first sub-network. …”
Get full text

Structural network topologies are associated with deep brain stimulation outcomes in Meige syndrome by Bin Liu, Zhiqi Mao, Xinyuan Yan, Hang Yang, Junpeng Xu, Zhebin Feng, Yanyang Zhang, Xinguang Yu

“…Subsequent functional annotation and correlation analyses were also conducted. …”
Get full text

Estimating the Significance of Computer Model Factors Based on a Simple Neural Network by Volodymyr Pepelyaev, Nataliia Oriekhova, Ihor Lukyanov

“…Artificially created datasets were used to conduct experiments to determine network parameters (number of layers, number of hidden neurons in a layer, as well as the number of learning epochs). …”
Get full text

Dynamic gene regulatory networks drive seed dormancy and germination of Pinus tabuliformis by Yanjun Li, Duxian Lu, Xinxiu Zuo, Yanyan Zhang, Yufen Bu, Shihui Niu, Jinxing Lin, Yaning Cui

“…WGCNA (Weighted Gene Co-expression Network Analysis) further pinpointed a key module comprising 153 genes strongly correlated with germination, of which 24 were prioritized as putative regulators. …”
Get full text

Characterization of the regulatory network and pathways in duodenum affecting chicken abdominal fat deposition by Zhijie Liu, Sibei Cheng, Xing Zhang, Miaomiao Yang, Jixiang Wei, Fei Ye, Zheng Ma, Huimin Kang, Zhengfen Zhang, Hua Li, Hai Xiang

“…Whole transcriptome sequencing analyses were conducted on the duodenum of 20 representative chickens to ascertain the regulatory networks at this vital digestive and absorptive organ. …”
Get full text

Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

“…It was proven that GA—BP could effectively compensate for the deficiencies of the BP neural network and substantially enhance the model’s accuracy. …”
Get full text

Effect of Robot-Assisted Gait Training on Lower Limb Motor Function of Children with Cerebral Palsy： A Meta-Analysis by JIANG Xiaoyu, BI Hongyan, SUN Wenyu, LIU Huifen, SU Hang, JIANG Jiahui

“…The main outcome measures were GMFM-D and GMFM-E scores of the gross motor function measure (GMFM), Berg balance scale (BBS), functional ambulation category (FAC) scale, walking speed, 6-minute walk test (6MWT), modified Ashworth scale (MAS). …”
Get full text

Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

“…The model’s generated frame columns met functional requirements, were well-placed, and had appropriate size and density. …”
Get full text

Next Arrival and Destination Prediction via Spatiotemporal Embedding with Urban Geography and Human Mobility Data by Pengjiang Li, Zaitian Wang, Xinhao Zhang, Pengfei Wang, Kunpeng Liu

“…Moreover, the embedding information contains region latent features; thus, we also detect the regional function in this paper. Finally, we conduct a comprehensive experimental study on a real-world trajectory dataset. …”
Get full text

Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism by Fei XIAO, Quan LIU, Qi-ming FU, Hong-kun SUN, Long GAO

“…In the reinforcement leaning tasks with continuous state spaces,the algorithms are usually facing the problems of ill initial performance and low convergence speed.In order to solve these problems,the potential function shaping reward mechanism was proposed to improve the reinforcement learning algorithms.This mechanism propagates model knowledge to the learner adaptively in the form of the additional reward signal,so that the initial performance and convergence speed could be improved effectively.In view of the good performance and existing problems of the radial basis function (RBF) network,the adaptive normalized RBF (ANRBF) network was put forward to use as a potential function to generate the shaping rewards.A gradient descent (GD)algorithm named ANRBF-GD-Sarsa(?) …”
Get full text