Human Pose Estimation Algorithm Using Optimized Symmetric Spatial Transformation Network by Shengqing Lin, Nor Azizah Ali, Azlan bin Mohd Zain, Muhalim Mohamed Amin Amin

“…Human pose estimation can be understood as the human key point recognition and connection problem. The paper presents an optimized symmetric spatial transformation network designed to connect with single-person pose estimation network to propose high-quality human target frames from inaccurate human bounding boxes, and introduces parametric pose non-maximal suppression to eliminate redundant pose estimation, and applies an elimination rule to eliminate similar pose to obtain unique human pose estimation results. …”
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Efficiently computing Pareto optimal G-skyline query in wireless sensor network by Leigang Dong, Guohua Liu, Xiaowei Cui, Quan Yu

“…We propose multiple query windows to compute key skyline layers, then optimize the method to compute directed skyline graph, finally introduce primary points definition and propose a fast algorithm based on it to compute G-skyline groups directly and efficiently. …”
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Improved Data Transmission Scheme of Network Coding Based on Access Point Optimization in VANET by Zhe Yang, Lingzhi Li, Wenqiang Yao, Kaisheng Xu, Dongxin Tang

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Bio-Inspired Multiobjective Optimization for Designing Content Distribution Networks by Gerardo Goñi, Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal, Andrei Tchernykh

“…This article studies the effective design of content distribution networks over cloud computing platforms. This problem is relevant nowadays to provide fast and reliable access to content on the internet. …”
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A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm by Sanyi Li, Wenjie Hou, Peng Liu, Weichao Yue, Qian Wang

“…This paper introduces a special points and neural network- based dynamic multi-objective optimization algorithm (SPNN-DMOA) for solving dynamic multi-objective optimization problems (DMOPs) with an irregularly changing pareto set. …”
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Joint optimization of location and topology of multi-terminal soft open point in distribution networks by Haibo Zhou, Guojiang Xiong, Xiaofan Fu, Man-Chung Wong, Louis-A. Dessaint, Kamal Al-Haddad

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Evaluation of Neural Networks for Improved Computational Cost in Carbon Nanotubes Geometric Optimization by Luis Josimar Vences-Reynoso, Daniel Villanueva-Vasquez, Roberto Alejo-Eleuterio, Federico Del Razo-López, Sonia Mireya Martínez-Gallegos, Everardo Efrén Granda-Gutiérrez

“…Simulations were performed using the CASTEP module in Material Studio to generate datasets for training the neural networks. While the final geometric optimization calculations were completed within Material Studio, the neural networks effectively generated preoptimized CNT structures that served as starting points, significantly reducing computational time. …”
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Fast and fair split computing for accelerating deep neural network (DNN) inference by Dongju Cha, Jaewook Lee, Daeyoung Jung, Sangheon Pack

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Probabilistic computing with percolating nanoparticle networks using experimental data with signatures of criticality by Sofie J Studholme, Joshua B Mallinson, Jamie K Steel, Simon A Brown

“…In particular, electrical spiking in PNNs meets criteria for criticality, which is thought to be the operating point for biological brains and associated with optimal computation. …”
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An Importance Sampling Method for Generating Optimal Interpolation Points in Training Physics-Informed Neural Networks by Hui Li, Yichi Zhang, Zhaoxiong Wu, Zhe Wang, Tong Wu

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Distributionally Robust Chance-Constrained Optimization for Soft Open Points Operation in Active Distribution Networks by Qilin Hou, Ge Chen, Ningyi Dai, Hongcai Zhang

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Internet Exchange Points IXPs: The Backbone of Efficient 5G Data Routing by Osman Diriye Hussein, Adam Muhudin

“…This article proposes a next-generation IXP architecture optimized for 5G data routing. The architecture dramatically improves scalability, performance, security, and cost-efficiency by bringing together Software-Defined Networking (SDN), Network Function Virtualization (NFV), and edge computing to enable dynamic and localized traffic management. …”
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Neural Networks for Solving PDEs on Edge Computing Platforms: A Comprehensive Analysis by Segundo Francisco Segura Altamirano, Diana M. Castro Cardenas

“…This study evaluates neural networks as an efficient alternative, comparing 60 architectures and five optimizers on three single-board computers. …”
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A Virus Propagation Model and Optimal Control Strategy in the Point-to-Group Network to Information Security Investment by Liping Feng, Ruifeng Han, Hongbin Wang, Qingshan Zhao, Chengli Fu, Qi Han

“…Epidemiological dynamics is a vital method in studying the spread of computer network viruses. In this paper, an optimal control measure is proposed based on the SEIR virus propagation model in point-to-group information networks. …”
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Control points deployment in an Intelligent Transportation System for monitoring inter-urban network roadway by Martin Luther Mfenjou, Ado Adamou Abba Ari, Arouna Ndam Njoya, David Jaures Fotsa Mbogne, Kolyang, Wahabou Abdou, François Spies

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Device Specifications for Neural Network Training with Analog Resistive Cross‐Point Arrays Using Tiki‐Taka Algorithms by Jinho Byun, Seungkun Kim, Doyoon Kim, Jimin Lee, Wonjae Ji, Seyoung Kim

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Simultaneous Optimization of Network Reconfiguration and Soft Open Points Placement in Radial Distribution Systems Using a Lévy Flight-Based Improved Equilibrium Optimizer by Ridha Djamel Mohammedi, Djamal Gozim, Abdellah Kouzou, Mustafa Mosbah, Ahmed Hafaifa, Jose Rodriguez, Mohamed Abdelrahem

“…However, identifying their optimum place along with network reconfiguration is a challenging task that requires advanced computation techniques. …”
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URBAN PASSENGER TRANSPORT ROAD NETWORKS: PROSPECTS OF METHODS’ OPTIMIZATION by S. M. Mochalin, J. A. Koleber

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THE OPTIMAL CONTROL IN THE MODELOF NETWORK SECURITY FROM MALICIOUS CODE by N. F. Semykina

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Reservoir Neural Network Computing for Time Series Forecasting in Aerospace: Potential Applications to Predictive Maintenance by Juan Manuel Rodríguez Riesgo, Juan Luis Cabrera Fernández

“…Coupling a reservoir neural network and a Grey Wolf optimization algorithm the system hyperparameters space is explored to find the configuration best suited to forecast the input sensor from the NASA CMAPSS dataset. …”
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