ACTIONS REGARDING INCREASING OF EFFICENCY OF ELECTRIC NETWORK by Gritsai M.

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Optimization Algorithm of Communication Resource Allocation in a Complex Network Based on an Improved Neural Network by Haomiao Zhang, Qing Liu

“…In China’s large urban network applications, mobile phones and other networks can have problems such as reduced network efficiency when there are more access users at some communication base stations, thus affecting user network usage. …”
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Examining recent effects of caffeine on default mode network and dorsal attention network anticorrelation in youth. by Orrin D Ware, Sarah E Chang, Wesley K Thompson, Alexandra S Potter, Hugh Garavan, Micah E Johnson, Lucina Q Uddin

“…This study analyzed baseline data from the Adolescent Brain Cognitive Development℠ Study, the largest longitudinal study examining brain development and adolescent health in the United States, to explore the associations between caffeinated beverage consumption and the strength of anticorrelation between the default mode network - dorsal attention network.<h4>Methods</h4>A total of N = 4,673 early adolescents (average age 9.9 years, standard deviation = 0.6) had self-report data for two caffeine variables: [a] last 24-hour caffeinated beverage consumption (Yes/No) and [b] weekly caffeinated beverage consumption (continuous). …”
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Data-Driven Formation Control for Multi-Vehicle Systems Induced by Leader Motion by Gianfranco Parlangeli

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Optimizing Wireless Sensor Network longevity with hierarchical chain-based routing and vertical network partitioning techniques by V. Rama Krishna, Vuppala Sukanya, Mohd Abdul Hameed

“…The suggested method has the potential to enhance the average network longevity substantially when compared to existing routing techniques. …”
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Graph neural network-based transaction link prediction method for public blockchain in heterogeneous information networks by Zening Zhao, Jinsong Wang, Jiajia Wei

“…It is difficult to extract attributes and predict transaction behavior by traditional methods. To solve these problems, we extract transaction features to construct an Ethereum transaction heterogeneous information network (HIN) and propose a graph neural network (GNN)-based transaction prediction method for public blockchains in HINs, which can divide the network into subgraphs according to connectivity and increase the accuracy of the prediction results of transaction behavior. …”
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EVOLUTION OF WIRELESS (CELLULAR) COMMUNICATION NETWORKS by L. F. Chernogor, M. B. Shevelev

“…Results. Using average data on the parameters of 1G to 5G communication networks and 6G in development, we have built regression models representative of the evolution of information transfer rates and data transmission durations until the year 2050. …”
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Analysing the Vulnerability of Public Transport Networks by Mary Luz Mouronte-López

“…The networks with the highest assortativity and lowest average number of stops are the ones which a passenger can use to travel directly to their destination, without any change. …”
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Contextual Deep Semantic Feature Driven Multi-Types Network Intrusion Detection System for IoT-Edge Networks by Shaho Hassen, Ahmed Abdlrazaq

“…Such methods ignore long-term dependency problems that limit their efficacy in intrusion detection in temporal Edge-IoT network traffic. …”
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Two-Echelon Pickup and Delivery Problem Using Public Transport in City Logistics by Shuai Wang, Xiaoning Zhu, Pan Shang, Wenqian Liu, Xiao Lin, Lóránt Tavasszy

“…Furthermore, we investigate large-scale instances based on the Beijing Yizhuang transportation network. The computations show that an average total delivery cost savings of 4.5% is feasible. …”
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Neuro-Evolution of Augmenting Topologies for Dynamic Scheduling of Flexible Job Shop Problem by Jian Huang, Yarong Chen, Jabir Mumtaz, Liuyan Zhong

“…Employing the entropy weight method, a fitness function for multiobjective optimization is formulated, facilitating the enhancement of the neural network’s structural and nodal parameters through genetic algorithms. …”
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A Novel Fuzzy Kernel Extreme Learning Machine Algorithm in Classification Problems by Asli Kaya Karakutuk, Ozer Ozdemir

“…Today, numerous methods have been developed to address various problems, each with its own advantages and limitations. …”
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Harmony Search Algorithm with Two Problem-Specific Operators for Solving Nonogram Puzzle by Geonhee Lee, Zong Woo Geem

“…So far, some methods have been investigated to address these challenges, including conventional line-solving techniques, integer programming, and neural networks. This study introduces a novel Harmony Search (HS)-based approach for solving nonogram puzzles, incorporating problem-specific operators designed to effectively reduce the solution search space and accelerate convergence. …”
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Dynamic Routing in Urban Transport Logistics under Limited Traffic Information by Viktor Danchuk, Oleksandr Hutarevych, Serhii Taraban

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Topology optimization of the plate using neural networks by Yu. S. Selivanov, K. A. Matveev

“…The paper presents a mathematical formulation of the topological optimization problem as a statement of the problem at a conditional extremum. …”
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Social-based routing in pocket switched networks by AOJiu-xin C, HENGao-jun C, ANGJing Y, HUZi-qing Z, IUBo L

“…In pocket switched network,how to make effective balance between the message delivery ratio and transmis-sion delay is a problem to be solved.A community-based PSN routing algorithm,named BridgingCom,is proposed.It uses local community detection method with aging mechanism and introduces the bridging centrality as the basis of for-warding decisions.The algorithm combines the analysis of node centrality with the structure of social mobile network,makes full use of the community relationship and activeness of nodes in PSN.Simulation results show that BridgingCom routing algorithm has better performance in the message delivery ratio and message average delay compared to a number of previously proposed algorithms.…”
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Routing Algorithms for SDM Flexible Optical Networks by Ireneusz Olszewski, Ireneusz Szcześniak, Bożena Woźna-Szcześniak

“…This paper considers the online routing, modulation, spectrum, and core allocation problem in elastic optical networks. Three algorithms are proposed to minimize the bandwidth blocking probability while taking into account the impact of interference from established lightpaths. …”
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Network analysis of the suicidal behaviors in Peruvian adults by Jonatan Baños-Chaparro, Paul Ynquillay-Lima, Fernando Lamas Delgado, Fiorella Gaby Fuster Guillen

“…The stability and precision of the network was also evaluated. Results: The network model of suicidal behavior was made up of positive edges. …”
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Bayesian Deep Neural Networks with Agnostophilic Approaches by Sarah McDougall, Sarah Rauchas, Vahid Rafe

“…It has often been claimed that probabilistic networks, particularly Bayesian neural networks, are unsuited to this problem due to unknown data, meaning that the denominator in Bayes’ equation would be incalculable. …”
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Simulation and Experiment of New Ultrasonic Vibration Network by Xiwen Chen, Xiaoqian Li, Weihua Gui

“…The new vibration network can solve the problems of nonuniform distribution of power ultrasonic wave, small working area and low volume of ultrasonic vibration network, low efficiency of the frequency spectrum and power spectrum, and poor quality of aluminum alloy casting. …”
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