Instrumental Supporting System for Developing and Analysis of Software-Defined Networks of Mobile Objects by V. A. Sokolov, S. V. Korsakov, A. V. Smirnov, V. A. Bashkin, E. S. Nikitin

“…The emphasis is on the questions of getting effective routing algorithms for such networks. The mathematical model of the system is the standard transportation network. …”
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Analysis of Grassland Vegetation Coverage Changes and Driving Factors in China–Mongolia–Russia Economic Corridor from 2000 to 2023 Based on RF and BFAST Algorithm by Chi Qiu, Chao Zhang, Jiani Ma, Cuicui Yang, Jiayue Wang, Urtnasan Mandakh, Danzanchadav Ganbat, Nyamkhuu Myanganbuu

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A Multi-Frame Super-Resolution Reconstruction Method Based on Optical Flow for Space Noncooperative Objects by Heng Deng, Zhao Zhang, Dong Zhou, Lingyu Ma

“…This paper focuses on close-proximity operations in space and aims to address the limitation of camera resolution by proposing an optical flow-based multi-frame super-resolution reconstruction algorithm. This algorithm employs a multi-level wavelet convolutional network (MWCNN) for feature extraction and uses SpyNet to obtain multi-level optical flow between different frames. …”
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Link and Loss Aware GW-COOP Routing Protocol for FANETs by Shahzad Hameed, Saleh Alyahya, Qurratul-Ain Minhas, Shabana Habib, Asif Nawaz, Sheeraz Ahmed, Atif Ishtiaq, Muhammad Islam, Sheroz Khan

“…This paper proposes GW-COOP (Gray Wolf Algorithm using Cooperative Diversity Technique) routing protocol for FANETs. …”
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Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization by Trung Nguyen-Quang, Minh Bui-Quang, Thinh Pham-Van, Nhan Le-Van, Khanh Nguyen-Hoang, Duc Nguyen-Minh, Tinh Phung-Thi, Anh Le-Viet, Duc Tran-Ha Minh, Dat Nguyen-Tien, Tuan-Anh Hoang-Le, Minh Truong-Ngoc

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Resilient formation control in multi-agent systems considering leader failure by Takuya Murakami, Toru Namerikawa

“…To achieve this, we developed an algorithm that uses the reliability of each agent, determined through fault detection using distributed observers, to limit information exchange with low-reliability agents. …”
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Joint User-Centric Clustering and Pilot Allocation for Scalable Cell-Free Massive MIMO System by Irma Zakia, Muhammad Brata

“…Cell-free massive multiple-input multiple-output (MIMO) is a promising technology where many access points (APs) cooperate to jointly serve user equipments (UEs) within the same time-frequency resource. …”
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Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson Channel by Sudhanshu Arya, Yeon Ho Chung

“…To improve the capacity in a power- and interference-limited channel, we model the problem as a cooperative game and propose an altruistic algorithm using the Nash bargaining, where each self-interested user attempts to maximize its capacity through cooperation. …”
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Cyberattack Monitoring Architectures for Resilient Operation of Connected and Automated Vehicles by Zulqarnain H. Khattak, Brian L. Smith, Michael D. Fontaine

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Energy-efficient device selection and resource allocation for edge-driven hierarchical federated learning by Yongwen Liu, Dongqing Liu, Lyes Khoukhi, Bo Wang, Lei Zhang, Yaoli Xu

“…We decompose the mixed-integer non-linear programming problem into two subproblems and propose an iterative algorithm that alternates between solving these subproblems until convergence. …”
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A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure by Mahsa Soheil Shamaee

“…This study focuses on investigating how grid-stiffened composite shells behave under external hydrostatic pressure. …”
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Controlled Synthesis of TiB2-TiC Composite: Substantiation of the Homogenizing Joule Thermostatting Efficiency and Improvement of SHS-Compaction Technology in a Vacuum by Gigo Jandieri, David Sakhvadze

“…This research aims to improve and substantiate the efficiency of homogenization heat-stabilizing Joule heating on ceramic-matrix composites of TiB2-TiC system with a 2:1 component ratio during its synthesis. …”
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An artifactual fibre overlap removal algorithm for micro-computed tomography image post-processing and 3D microstructure generation with graphics processing unit acceleration by Yuheng Zhou, Zhengshu Yan, Pascal Hubert

“…A novel algorithm based on radial basis functions is proposed for the removal of artifactual fibre overlap within fibre structures extracted from micro-computed tomography (micro-CT) images of fibre reinforced polymer matrix composites. …”
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Predictive modeling for mechanical characteristics of ultra high-performance concrete blended with eggshell powder and nano silica utilizing traditional technique and machine learn... by Yi Zhang, Qizhi Zhang, Ali H. AlAteah, Ahmed Essam, Sahar A. Mostafa

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Prediction of matrilineal specific patatin-like protein governing in-vivo maternal haploid induction in maize using support vector machine and di-peptide composition by Suman Dutta, Rajkumar U. Zunjare, Anirban Sil, Dwijesh Chandra Mishra, Alka Arora, Nisrita Gain, Gulab Chand, Rashmi Chhabra, Vignesh Muthusamy, Firoz Hossain

“…Among six sequence-based compositional features, di-peptide composition attained > 90% prediction accuracies using RBF and polynomial kernels. …”
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On the Extended Simple Equations Method (SEsM) for Obtaining Numerous Exact Solutions to Fractional Partial Differential Equations: A Generalized Algorithm and Several Applications by Elena V. Nikolova

“…The expansions made to the original SEsM algorithm are implemented in several directions: (1) In constructing analytical solutions: exact solutions to FNPDE systems are presented by simple or complex composite functions, including combinations of solutions to two or more different simple equations with distinct independent variables (corresponding to different wave velocities); (2) in selecting appropriate fractional derivatives and appropriate wave transformations: the choice of the type of fractional derivatives for each system of FNPDEs depends on the physical nature of the modeled real process. …”
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Building a composition-microstructure-performance model for C–V–Cr–Mo wear-resistant steel via the thermodynamic calculations and machine learning synergy by Shuaiwu Tong, Shuaijun Zhang, Chong Chen, Tao Jiang, Peng Li, Shizhong Wei

“…Subsequently, the strong coupling between microstructure composition and performance was explored using machine learning techniques. …”
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Regulating the system constraints in optimal control using predictive regulator by Dr. Nirmalya Chandra

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Quantification of training‐induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females by Saied Ramedani, Ebru Kelesoglu, Norman Stutzig, Hendrik Von Tengg‐Kobligk, Keivan Daneshvar Ghorbani, Tobias Siebert

“…This study supports the use of artificial intelligence systems to analyze MRI images as a reliable tool for monitoring training responses on body composition.…”
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Neuro-Musculoskeletal Modeling for Online Estimation of Continuous Wrist Movements from Motor Unit Activities by Yunfei Liu, Xu Zhang, Haowen Zhao, Xiang Chen, Bo Yao

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