Improved Empirical Mode Decomposition Algorithm of Processing Complex Signal for IoT Application by Xianzhao Yang, Gengguo Cheng, Huikang Liu

“…However, due to its inadequacy in estimating both the maximum and the minimum values of the signals at both ends of the border, traditional HHT is easy to produce boundary error in empirical mode decomposition (EMD) process. …”
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Hybrid Swarm Intelligence and Human-Inspired Optimization for Urban Drone Path Planning by Yidao Ji, Qiqi Liu, Cheng Zhou, Zhiji Han, Wei Wu

“…To address the challenges of urban drone path planning, this paper proposes an innovative method that combines a path segmentation and prioritized update algorithm with a cubic B-spline curve algorithm. This method enhances both path optimality and smoothness, ensuring safe and efficient navigation in complex urban settings. …”
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An Improved Convergence Particle Swarm Optimization Algorithm with Random Sampling of Control Parameters by Lijun Sun, Xiaodong Song, Tianfei Chen

“…For the proposed algorithm, the random sampling strategy of control parameters is designed, which can promote the flexibility of algorithm parameters and simultaneously enhance the updating randomness for both particle velocity and position. …”
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A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting by Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, Mikko Kolehmainen

“…The article presents a novel multi-objective (MO) hybrid evolutionary-based approach, GA-SHADE-MO, for tuning ML models aimed at solving the complex problem of forecasting power consumption. The proposed algorithm simultaneously optimizes both hyperparameters and feature sets across six different ML models, ensuring enhanced accuracy and efficiency. …”
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A secure and efficient encryption system based on adaptive and machine learning for securing data in fog computing by Priyanka Rajan Kumar, Sonia Goel

“…The system employs the K-Nearest Neighbors (KNN) classification algorithm to categorize data into sensitive and normal types. …”
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A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors by Zihao Li, Siguang An, Guoping Zou, Jianqiang Han

“…These findings highlight the potential of the proposed algorithm to enhance the reliability and precision of electromagnetic field simulations in sensor design and related applications.…”
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Robustness of machine learning algorithms to generate flood susceptibility maps for watersheds in Jordan by Mohanned S. Al-Sheriadeh, Mohammad A. Daqdouq

“…For flood susceptibility mapping, RF outperformed the other two algorithms for both watersheds and was thus selected for susceptibility mapping. …”
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Sentiment Analysis Using LSTM Algorithm Regarding Grab Application Services in Indonesia by Akbar Rikzy Gunawan, Rifda Faticha Alfa Aziza

“…Both models were enhanced with Multi-Head Attention mechanisms to capture more complex contextual relationships in sequential data. …”
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L0-Norm based Image Pansharpening by using population-based algorithms by Mehmet Akif Günen, María-Luisa Pérez-Delgado, Erkan Beşdok

“…L0pan was optimized using a population-based colony search algorithm, enabling it to effectively balance both chromatic fidelity and spatial resolution. …”
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A Novel Eigenvalue Algorithm for the Complex Band Structure and Eigenmodes of Plasmonic Crystals by Hui Wang, Wei E. I. Sha, Zhixiang Huang, Xianliang Wu

“…Given a frequency of interests, the algorithm solves one complex Bloch wavenumber as the eigenvalue via fixing another. …”
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Hybrid Optimization Algorithm for Solving Attack-Response Optimization and Engineering Design Problems by Ahmad K. Al Hwaitat, Hussam N. Fakhouri, Jamal Zraqou, Najem Sirhan

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Enhanced DDPG algorithm for latency and energy-efficient task scheduling in MEC systems by Fei Zhou, Lihong Zhao, Xiaomei Ding, Shuqin Wang

“…At a task load of 10, the improved DDPG achieved a latency of 250 ms and energy consumption of 965 J, significantly lower than other algorithms. Ablation experiments further confirm the positive impact of each enhancement, showing that the combination of soft updates and experience replay buffers significantly reduces both latency and energy consumption. …”
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Exploring Evolutionary Algorithms for Optimal Power Flow: A Comprehensive Review and Analysis by Harish Pulluri, Vedik Basetti, B. Srikanth Goud, CH. Naga Sai Kalyan

“…This article presents an in-depth review of various OPF problems and the wide array of algorithms, both traditional and evolutionary, applied to solve these problems, paying special attention to wind power integration and multi-objective optimization strategies.…”
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Using The Hybrid GA-Ant Algorithm To Find The Optimal Path In Computer Networks by Ibtisam Turki

“…This paper is an attempt to propose a new H design mixed algorithm (ACO-GA) that includes the best features of both ACO and GA with a new application that combines both previous algorithms called( H- Hybrid (ACO-GA) hybrid algorithm technology, which differs in its parameters. …”
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A Ultra-Low Cost and Accurate AMC Algorithm and Its Hardware Implementation by Yuqin Zhao, Tiantai Deng, Bill Gavin, Edward A. Ball, Luke Seed

“…To address the challenges of speed and accuracy, this article presents a low-cost, and accurate AMC algorithm and its FPGA implementation that can achieve both fast and accurate results at the same time. …”
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Proportional Topology Optimization algorithm for two-scale concurrent design of lattice structures by Minh Ngoc Nguyen, Duy Vo, Tinh Quoc Bui

“… In this paper, the Proportional Topology Optimization (PTO) algorithm is extended for the two-scale concurrent topology optimization, in which both the structure and material cellular micro-structure are subject to design. …”
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Research on basketball footwork recognition based on a convolutional neural network algorithm by Weili Bao, Yong Bai

“…Methods: A traditional CNN algorithm was improved to a dual-model CNN (DMCNN) algorithm, where convolutional feature extraction was performed separately on both the acceleration and angular velocity data of footwork. …”
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Leveraging the Louvain algorithm for enhanced group formation and collaboration in online learning environments by Minkyung Lee, Priya Sharma

“…Abstract This study explores the dynamics of student interaction networks within an online asynchronous discussion forum, focusing on both whole group discussions and subgroup interactions distinguished by the Louvain algorithm, a renowned community detection method. …”
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VF-CART: A communication-efficient vertical federated framework for the CART algorithm by Yang Xu, Xuexian Hu, Jianghong Wei, Hongjian Yang, Kejia Li

“…Finally, we conducted experiments using both real-world and synthetic datasets. The experimental results demonstrate that the VF-CART algorithm significantly reduced the volume of communication.…”
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Robust Adversarial Example Detection Algorithm Based on High-Level Feature Differences by Hua Mu, Chenggang Li, Anjie Peng, Yangyang Wang, Zhenyu Liang

“…To address these challenges, this paper introduces a novel adversarial example detection algorithm based on high-level feature differences (HFDs), which is specifically designed to improve robustness against both attacks and preprocessing operations. …”
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