3D Deployment Optimization of Wireless Sensor Networks for Heterogeneous Functional Nodes by Zean Lu, Chengqun Wang, Peng Wang, Weiqiang Xu

“…In practical applications, networks often face monitoring requirements for different data types, and some single-function sensors can be integrated into multifunctional sensors capable of monitoring multiple types of data. …”
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Calculation of parameters of radial-piston reducer based on the use of functional semantic networks by Pashkevich V.M., Mironova M.N.

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Convolutional neural network model over encrypted data based on functional encryption by Chen WANG, Jiarun LI, Jian XU

Subjects: “…convolutional neural network…”
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Differential dynamic functional network connectivity in different motor subtypes of Parkinson's disease by Yu Pan, Hang Qu, Yi Zhao, Zhaoxia Qin, Jiangbing Liu, Wei Wang

“…Results: Eight functional networks were identified, and four connectivity states were clustered. …”
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5G remote interference management function research and network intelligent optimization by Tinglan WANG, Feng GAO, Peijin LYU, Tairan WU, Wenli LI

“…To mitigate the impact of tropospheric radio-duct interference on 5G network, 3GPP has defined functionalities for remote interference management.Based on this functionality, an automated scheme for SetID and gNBID was developed, enabling the reuse of SetID in different tropospheric radio-duct interference regions, striking a balance between efficiency and uniqueness.By analyzing remote interference measurement data from base stations, an intelligent localization and identification method for tropospheric radio-duct interference was summarized.An intelligent network optimization process for identifying the aggressor base stations was created and successfully validated in the network.An effective operational plan was provided for management of 5G tropospheric radio-duct interference, alleviating the constraints on the development of the 5G industry caused by the interference.…”
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Distinct functional cerebral hypersensitivity networks during incisional and inflammatory pain in rats by Silke Kreitz, Bruno Pradier, Daniel Segelcke, Saeedeh Amirmohseni, Andreas Hess, Cornelius Faber, Esther M. Pogatzki-Zahn

“…We developed a comprehensive framework for brain network analysis combining functional magnetic resonance imaging (MRI) with graph-theory (GT) and data classification by linear discriminant analysis. …”
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Drosophila spastin regulates synaptic microtubule networks and is required for normal motor function. by Nina Tang Sherwood, Qi Sun, Mingshan Xue, Bing Zhang, Kai Zinn

“…Overexpression of Spastin erases the muscle microtubule network. This gain-of-function phenotype is consistent with the hypothesis that Spastin has microtubule-severing activity, and implies that spastin loss-of-function mutants should have an increased number of microtubules. …”
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Insulin resistance, cognition, and functional brain network topology in older adults with obesity by Clayton C. McIntyre, Robert G. Lyday, Yixin Su, Barbara Nicklas, Sean L. Simpson, Gagan Deep, Shannon L. Macauley, Christina E. Hugenschmidt

“…Abstract Cross-sectional data from a sample of older adults with obesity was used to determine how peripheral insulin resistance (PIR) and neuronal insulin signaling abnormalities (NISAs) relate to executive function and functional brain network topology. Older adults (n = 71) with obesity but without type 2 diabetes were included. …”
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RbfCon: Construct Radial Basis Function Neural Networks with Grammatical Evolution by Ioannis G. Tsoulos, Ioannis Varvaras, Vasileios Charilogis

“…Radial basis function networks are considered a machine learning tool that can be applied on a wide series of classification and regression problems proposed in various research topics of the modern world. …”
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A study of connectivity features analysis in brain function network for dementia recognition by Siying Li, Peng Wang, Zhenfeng Li, Lidong Du, Xianxiang Chen, Jie Sun, Libin Jiang, Gang Cheng, Zhen Fang

“…In this study, we construct a brain function network based on electroencephalography data to study changes in AD and MCI patients. …”
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Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice by Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai, Roger G. Melko, Juan Carrasquilla

“…In this paper, we apply two-dimensional recurrent neural network (RNN) wave functions to study the ground states of Rydberg atom arrays on the kagome lattice. …”
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Changes in cerebrovascular reactivity within functional networks in older adults with long-COVID by Jessica M. Pommy, Alexander Cohen, Amarpreet Mahil, Laura Glass Umfleet, Sara J. Swanson, Malgorzata Franczak, Shawn Obarski, Kelly Ristow, Yang Wang, Yang Wang, Yang Wang

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Correction: Network analysis reveals abnormal functional brain circuitry in anxious dogs. by Yangfeng Xu, Emma Christiaen, Sara De Witte, Qinyuan Chen, Kathelijne Peremans, Jimmy H Saunders, Christian Vanhove, Chris Baeken

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Research of efficiency of the algorithms for finding solutions based on the use of functional semantic networks by Mironova M.N.

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Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions by Roger A. Kemp, Calum MacAulay, Branko Palcic

“…This is unfortunate, since the inner workings of a neural network can be understood in a manner similar to that of a linear discriminant function, which is the standard tool that researchers use for decision making.…”
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Deployment method for vEPC virtualized network function via Q-learning by Quan YUAN, Hong-bo TANG, Kai-zhi HUANG, Xiao-lei WANG, Yu ZHAO

“…In the context of vEPC，a method of virtua1ized network function（VNF）dep1oyment via an improved Q-1earning a1gorithm was proposed to so1ve the prob1em that the existing methods cannot achieve the optimization of time de1ay and revenue of VNF dep1oyment simu1taneous1y.To get the optima1 dep1oyment po1icy in both space dimension and time dimension，a Markov decision process mode1 of vEPC service function chain dep1oyment on the basis of the traditiona1 0-1 programming mode1 was estab1ished and a so1ution with an improved Q-1earning a1gorithm was proposed.The method had taken fu11 consideration of both virtua1 network embedding in space dimension and orchestration of VNF 1ife cyc1e in time dimension，and thus，the mu1ti-objective optimization of revenue and de1ay cou1d be attained.Simu1ation shows that the method can reduce network de1ay whi1e increasing the revenue and the ratio of request acceptance compared with other dep1oyment methods.…”
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Metabolic network structure and function in bacteria goes beyond conserved enzyme components by Jannell V. Bazurto, Diana M. Downs

“…Here we describe the implications of a recent study (MBio 5;7(1): e01840-15), which demonstrated that conservation of metabolic components was not sufficient to predict network structure and function.…”
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The highly buffered Arabidopsis immune signaling network conceals the functions of its components. by Rachel A Hillmer, Kenichi Tsuda, Ghanasyam Rallapalli, Shuta Asai, William Truman, Matthew D Papke, Hitoshi Sakakibara, Jonathan D G Jones, Chad L Myers, Fumiaki Katagiri

“…Plant immunity protects plants from numerous potentially pathogenic microbes. The biological network that controls plant inducible immunity must function effectively even when network components are targeted and disabled by pathogen effectors. …”
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High‐resolution mapping of cancer cell networks using co‐functional interactions by Evan A Boyle, Jonathan K Pritchard, William J Greenleaf

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Improving Neural Network Efficiency Using Piecewise Linear Approximation of Activation Functions by Pavan Reddy, Aditya Sanjay Gujral

“… Activation functions play a pivotal role in Neural Networks by enabling the modeling of complex non-linear relationships within data. …”
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