Network & Distributed Systems: المرسلات الحديثة
السجلات المعروضة 21 -- 40 من 142
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Energy-Efficient Satellite Range Scheduling Using a Reinforcement Learning-Based Memetic Algorithm
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The rapid expansion of the satellite industry has presented numerous opportunities across various sectors and significantly transformed people's daily lives. However, the high energy consumption resulting from frequent ... -
Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)In complex and variable traffic environments, efficient multi-objective urban traffic light scheduling is imperative. However, the carbon emission problem accompanying traffic delays is often neglected in most existing ... -
LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Autonomous exploration in expansive and complicated environments poses a significant challenge. When the dimensions of the environment expand, exploration algorithms encounter substantial overhead, which can overpower the ... -
Localized Constrained-Domination Principle for Constrained Multiobjective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The constrained-domination principle (CDP) is one of the most popular constraint-handling techniques (CHTs), since it is simple, nonparametric, and easily embedded in unconstrained multiobjective evolutionary algorithms ... -
Extended Features Based Random Vector Functional Link Network for Classification Problem
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Random vector functional link (RVFL) network has been successfully employed in diverse domains such as computer vision and machine learning, due to its universal approximation capability. Recently, the shallow RVFL ... -
Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Recently, semantic communication emerged as one of the enabling technologies for intelligent communications and multimodal information fusion plays an important role therein, where various sensors collect environment ... -
A Two-Stage Evolutionary Framework for Multi-Objective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)In the field of evolutionary multi-objective optimization, the approximation of the Pareto front (PF) is achieved by utilizing a collection of representative candidate solutions that exhibit desirable convergence and ... -
Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The ensemble deep random vector functional link (edRVFL) neural network has demonstrated the ability to address the limitations of conventional artificial neural networks. However, since edRVFL generates features for its ... -
Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The random vector functional link (RVFL) neural network has shown the potential to overcome traditional artificial neural networks' limitations, such as substantial time consumption and the emergence of suboptimal solutions. ... -
Online ensemble deep random vector functional link for the assistive robots
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)Active upper limb assistive robots have the potential to improve the quality of life for patients with limb disabilities and assist those who require rehabilitation. However, patients often have difficulty accepting these ... -
Echo state neural network based ensemble deep learning for short-term load forecasting
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Precise electricity load forecasts assist in planning, maintaining, and developing power systems. However, the electricity load's un-stationary and non-linear characteristics impose substantial challenges in anticipating ... -
Multimodal Neuroimaging based Alzheimer's Disease Diagnosis using Evolutionary RVFL Classifier
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Alzheimer's disease (AD) is one of the most known causes of dementia which can be characterized by continuous deterioration in the cognitive skills of elderly people. It is a non-reversible disorder that can only ... -
Online Continual Learning for Control of Mobile Robots
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)This work presents a novel approach which integrates deep learning, online learning and continual learning paradigms for adaptive control for robotic systems. Deep learning allows generalising knowledge about the robot, ... -
Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)Alzheimer's disease (AD) is a neurological disorder that primarily affects the elderly and is characterized by cognitive decline and memory loss. Recent research has shown that susceptibility-weighted imaging (SWI) images ... -
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Situation awareness (SA) plays a significant role in takeover transitions from autonomous to manual driving. Previous researchers have shown that eye movement signals can be used for SA recognition. Moreover, ensemble deep ... -
Android Malware Detection and Classification using Stacked Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)The widespread use of Android smartphones in daily life can be attributed to the extensive prevalence stemming from the Android OS and the availability of open-source applications. People have become accustomed to performing ... -
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
( Elsevier , 2024 , Article)Evolutionary algorithms (EA), a class of stochastic search methods based on the principles of natural evolution, have received widespread acclaim for their exceptional performance in various real-world optimization problems. ... -
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
( Elsevier , 2023 , Article)Metaheuristics are popularly used in various fields, and they have attracted much attention in the scientific and industrial communities. In recent years, the number of new metaheuristic names has been continuously growing. ... -
Large-scale power system multi-area economic dispatch considering valve point effects with comprehensive learning differential evolution
( Elsevier , 2024 , Article)The role of multi-area economic dispatch (MAED) in power system operation is increasingly significant. It is a non-linear and multi-constraint problem with many local extremes when considering the valve point effects, ... -
Benchmark problems for large-scale constrained multi-objective optimization with baseline results
( Elsevier , 2024 , Article)The interests in evolutionary constrained multiobjective optimization are rapidly increasing during the past two decades. However, most related studies are limited to small-scale problems, despite the fact that many practical ...
