IEEE

Generating Adversarial Examples for 3D Point Clouds Using Evolutionary Algorithms

Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...
IEEE

From Concept to Field Trials: Design, Analysis, and Evaluation of a Novel Quadruped Robot With Deformable Wheel–Foot Structure

Abstract: This study introduces a novel quadruped robot, the TerraAdapt, furnished with an innovative deformable wheel–foot integrated structure. This unique design grants the robot the flexibility to ...
IEEE

Intelligent Nonlinear PID-Controller Combined With Optimization Algorithm for Effective Global Maximum Power Point Tracking of PV Systems

Abstract: Many advanced techniques efficiently harvest the global maximum power (GMP) of the photovoltaic (PV) system, including machine learning techniques and metaheuristic algorithms based maximum ...
IEEE

Comparative Analysis of Deep Learning Algorithms for Image Classification

Abstract: Image classification is one of the highly explored fields in artificial intelligence and computer vision, due to its widespread applications such as medical image analysis, autonomous cars, ...
IEEE

Comparative Analysis of Sorting Algorithms: A Review

Abstract: In the realm of computer science, sorting algorithms play a pivotal role in optimising data organisation and retrieval processes across various applications. This paper presents a ...
IEEE

AI Knows Aesthetics: AI-Generated Interior Design Identification Using Deep Learning Algorithms

The integration of Artificial Intelligence (AI) in interior design has revolutionized how spaces are conceptualized, visualized, and classified. As digital tools and generative design models become ...
IEEE

Design and Implementation of Mobile Experiment Algorithm Designer Interface for Network Control System Laboratory

Abstract: This paper introduces the Mobile Client Interface (MCI), an Android application, that grants remote access and experimentation with the Networked Control System Laboratory (NCSLab) resources ...
IEEE

Predictive Analysis of Network-Based Attacks by Hybrid Machine Learning Algorithms Utilizing Bayesian Optimization, Logistic Regression, and Random Forest Algorithm

Abstract: These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense against a variety of security breaches, the number of which has been ...
IEEE

Dynamic Adaptive Parametric Social Network Analysis Using Reinforcement Learning: A Case Study in Topic-Aware Influence Maximization

Abstract: Current network analysis algorithms often rely on search methods or centrality measures but face challenges such as 1) The solution space is large, resulting in high computational complexity ...
IEEE

Resource-Aware Grid-Forming Synchronization Control: Design, Analysis and Validation

Abstract: This paper presents a power-synchronization loop scheme for renewable power generation operated in Grid-Forming (GFM), which considers the DC-connected resource limitations. Under conditions ...
IEEE

Enhancing Sentiment Analysis Accuracy with Reinforcement Learning: The ReinforceSentOpt Model

Abstract: This paper introduces ReinforceSentOpt, an innovative sentiment analysis algorithm leveraging reinforcement learning to enhance the accuracy of large models. In the era of pervasive social ...
IEEE

State-of-the-Art Review: Models and Algorithms for Optimal Power System Design, Stabilization, and Reliability Enhancement

Abstract: The stability and reliability of power systems are essential for effective operation and design. Models and algorithms are instrumental in bolstering stability, especially using Power System ...