KINDI Center for Computing Research: Recent submissions
Now showing items 61-80 of 297
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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 ... -
Versatile LiDAR-Inertial Odometry with SE(2) Constraints for Ground Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)LiDAR SLAM has become one of the major localization systems for ground vehicles since LiDAR Odometry And Mapping (LOAM). Many extension works on LOAM mainly leverage one specific constraint to improve the performance, e.g., ... -
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 ... -
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)Class-incremental learning (CIL) on multivariate time series (MTS) is an important yet understudied problem. Based on practical privacy-sensitive circumstances, we propose a novel distillation-based strategy using a ... -
Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Constrained multi-objective optimization problems (CMOPs) generally contain multiple constraints, which not only form multiple discrete feasible regions but also reduce the size of optimal feasible regions, thus they propose ... -
Dynamic Multi-Objective Optimization Algorithm Guided by Recurrent Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)In recent years, prediction-based algorithms have attracted much attention for solving dynamic multi-objective optimization problems in the evolutionary computing community. However, this class of algorithms still has ... -
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 ... -
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 ... -
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The flowshop sequence-dependent group scheduling problem (FSDGSP) with the production efficiency measures has been extensively studied due to its wide industrial applications. However, energy efficiency indicators are often ... -
Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Unmanned aerial vehicles (UAVs) have emerged as promising platforms for fast, energy-efficient, and cost-effective package delivery. Path planning in 3-D urban environments is critical to drone delivery. The paper proposes ... -
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)As per the latest statistics, Alzheimer's disease (AD) has become a global burden over the following decades. Identifying AD at the intermediate stage became challenging, with mild cognitive impairment (MCI) utilizing ... -
Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Earth electromagnetic exploration satellites are widely used in many fields due to their wide detection range and high detection sensitivity. The complex environment and the proliferating number of satellites make management ... -
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)In this article, a new feature selection (FS) algorithm, called simple, fast, and efficient (SFE), is proposed for high-dimensional datasets. The SFE algorithm performs its search process using a search agent and two ... -
Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)This paper addresses urban traffic light scheduling problems (UTLSP) with eight phases. The objective is to minimize the total vehicle delay time by assigning traffic phases and phase-timing optimally. A novel hybrid ... -
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 ... -
Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)In multimodal multiobjective optimization problems (MMOPs), there are several Pareto optimal solutions corresponding to the identical objective vector. This paper proposes a new differential evolution algorithm to solve ... -
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)This work addresses multiobjective dynamic surgery scheduling problems with considering uncertain setup time and processing time. When dealing with them, researchers have to consider rescheduling due to the arrivals of ... -
Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)With the advent of agriculture 4.0 era, the combination of agriculture and unmanned technology has promoted the development of intelligent agriculture. However, there are relatively few studies on the agricultural robot ...