Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization by Kaiyin Lu, Xinguang Zhang, Tianbo Zhai, Mengjie Zhou

“…The proposed optimizations focus on dual objectives: enhancing data security while concurrently accelerating processing speeds. …”
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A Study on the Effectiveness and Efficiency of Public or Private Hospitals within Pakistan by Noman Islam, Muhammad Usman Raees, Darakshan Syed

“…On this dataset, the paper applies a machine learning algorithm i.e., random forest, to predict which hospital type is suitable for them while considering the variables. …”
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A High-Precision Method for Evaluating the Similarity of Maritime Vessel Trajectories by Ran Ji, Mengkai Ma, Jian Dong, Sen Wang

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A Lightweight Cryptographic Framework Based on Hybrid Cellular Automata for IoT Applications by Abrar Hasan, M. M. A. Hashem

“…Therefore, ensuring proper security while using these low resources is challenging. In contrast, the conventional cryptographic algorithm has higher complexity and high resource requirements, making it incompetent for IoT devices. …”
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Flexible Reconfiguration for Optimal Operation of Distribution Network Under Renewable Generation and Load Uncertainty by Behzad Esmaeilnezhad, Hossein Amini, Reza Noroozian, Saeid Jalilzadeh

“…The primary objective when operating a distribution network is to minimize operating costs while taking technical constraints into account. …”
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Learning Parameter Dependence for Fourier-Based Option Pricing with Tensor Trains by Rihito Sakurai, Haruto Takahashi, Koichi Miyamoto

“…A recent study has proposed to use tensor train learning algorithms to speed up Fourier transform (FT)-based option pricing, utilizing the ability of tensor trains to compress high-dimensional tensors. …”
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Improved throughput of Elliptic Curve Digital Signature Algorithm (ECDSA) processor implementation over Koblitz curve k-163 on Field Programmable Gate Array (FPGA) by Firas Ghanim Tawfeeq, Alaa M. Abdul-Hadi

“…The Elliptic Curve Digital Signature Algorithm (ECDSA) is the most suitable choice for the environments due to the smaller size of the encryption key and changeable security related parameters. …”
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A Detailed Performance Evaluation of the GK2A Fog Detection Algorithm Using Ground-Based Visibility Meter Data (2021–2023, Part I) by Hyun-Kyoung Lee, Myoung-Seok Suh

“…This study evaluated the performance of the operational GK2A (GEO-KOMPSAT-2A) fog detection algorithm (GK2A_FDA) using ground-based visibility meter data from 176 stations across South Korea from 2021 to 2023. …”
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Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorith... by S. Ajith, S. Vijayakumar, N. Elakkiya

“…Artificial intelligence algorithms efficiently process vast datasets from unmanned aerial vehicles, ground vehicles, and satellites, enabling precise and timely interventions. …”
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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

“…The proposed model enhances the structural expressiveness of the sparse component while preserving the global low-rank structure. To solve the resulting optimization problem efficiently, we develop a tailored algorithm based on operator splitting techniques, significantly improving computational efficiency without sacrificing accuracy. …”
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Upgrading fuzzy logic by GA-PS to determine asphaltene stability in crude oil by Saeid Ahmadi, Mohammad Sadegh Amiribakhtiar, Amin Gholami, Nader Bahrami

“…While SC solely optimizes mean of input Gaussian membership functions (GMFs), GA-PS tool optimizes both mean and variance of input GMFs. …”
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Numerical Simulation and On-Site Measurement of Dynamic Response of Flexible Marine Aquaculture Cages by Xiaoying Zhang, Fei Fu, Jun Guo, Hao Qin, Qian Sun, Zhe Hu

“…This study proposes a numerical algorithm to solve the coupled response of the multiple cage systems. …”
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Advancing Multi-UAV Inspection Dispatch Based on Bilevel Optimization and GA-NSGA-II by Yujing Liu, Chunmei Chen, Yu Sun, Shaojie Miao

“…To address these challenges, a bilevel optimization framework based on GA-NSGA-II and task segmentation is proposed to balance the total inspection distance and the distance standard deviation of UAVs, where the outer optimization employs the NSGA-II to assign task units to each UAV evenly, while the inner optimization deploys an adaptive genetic algorithm with an elite retention strategy to optimize the inspection direction and order in each task domain to obtain a Pareto-optimal solution set under constraints. …”
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A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection by Zhang Jiazhen, Wang Xiulai, Zhao Shuxu

“…Using the SVM classifier with the global sequence alignment algorithm as the main kernel function, the data classification module detects anomalies, so that the algorithm can mine valuable feature attributes from multiple angles as much as possible while stably exerting its classification function. …”
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Kinematic analysis and optimisation of a gantry spraying robot for ship blocks by Jiangmin Xu, Jinhao Liu, Xuwen Jing, Honggen Zhou, Xiaocai Hu, Jianbo Ji, Zhenchun Han

“…The differential evolution algorithm and the adaptive differential evolution algorithm were both utilized to solve the optimal inverse solution. …”
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Comprehensive MILP Formulation and Solution for Simultaneous Scheduling of Machines and AGVs in a Partitioned Flexible Manufacturing System by Cheng Zhuang, Jingbo Qu, Tianyu Wang, Liyong Lin, Youyi Bi, Mian Li

“…The main objective is to numerically optimize the simultaneous scheduling of machines and AGVs while considering various workshop layouts and operational constraints. …”
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Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids by Mahtab Khalilifar, Seyed Mohammad Shahrtash

“…This paper proposes a rule-based algorithm for fast prediction of long-term voltage stability status immediately after a disturbance, eliminating the need for post-disturbance measurements. …”
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Prediction of maximum forming depth in single point incremental forming of 6061 aluminum alloy based on Adaboost regression by LIANG Zhikai, ZHANG Zhichao, HU Lan, PANG Qiu

“…The maximum error between the four groups of tests and simulations is 4.24%， while the maximum error with the actual forming results is -2.45%.…”
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AI-enabled full-body dynamic avatar reconstruction using triboelectric smart clothing for metaverse applications by Chi Zhang, Lei Zhang, Yu Tian, Zhengang An, Bo Li, Dachao Li

“…The integrated algorithms accurately decouple posture signals — distinguishing between similar postures with the 1D-CNN algorithm, compensating for body-shape differences via a calibration algorithm, and determining spatial elements for avatar reconstruction using a decision-tree algorithm. …”
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The human-on-the-loop evaluation of multiobjective optimization algorithms for solving a real-world problem that integrates the food-energy-water nexus security and climate change... by Isaac Okola, Daniel Orwa Ochieng, Evans Kirimi Miriti, Gilbert Ouma Ong'isa

“…Based on the results, the Fuzzy Decision Variable (FDV) algorithm is selected as the most suitable algorithm to solve a multiobjective problem that integrates the Food-Energy-Water Nexus (FEWN) and Climate Change Vulnerability (CCV). …”
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