Network & Distributed Systems
Recent Submissions
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Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification
( Institute of Electrical and Electronics Engineers (IEEE) , 2024 , Conference)The Random Vector Functional Link Network (RVFL) is a single-layer feed-forward network characterized by randomised weights in its hidden layers. However, the randomness can introduce detrimental neurons, potentially ... -
Safety Score as an Evaluation Metric for Machine Learning Models of Security Applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Machine learning studies have traditionally used accuracy, F1 score, etc. to measure the goodness of models. We show that these conventional metrics do not necessarily represent risks in security applications and may result ... -
Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Advancements in the Industrial Internet of Things (IIoT) have yielded massive volumes of data, taxing the capabilities of cloud computing infrastructure. Allocating limited computing resources to numerous incoming requests ... -
Ensemble Deep Random Vector Functional Link Neural Network for Regression
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-The-Art results on different datasets. Our present work first fills the gap ... -
Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Accelerated brain aging and abnormalities are associated with variations in brain patterns. Effective and reliable assessment methods are required to accurately classify and estimate brain age. In this study, a brain age ... -
Self-Distillation for Randomized Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Knowledge distillation (KD) is a conventional method in the field of deep learning that enables the transfer of dark knowledge from a teacher model to a student model, consequently improving the performance of the student ... -
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 ... -
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 ... -
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 be cured ... -
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, ... -
3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)This paper proposes a novel hybridization of two metaheuristic algorithms to solve the real-parameter single objective numerical optimization problems. The proposed Three-stage Cyclic Hybrid SFS and L-SHADE (3-sCHSL) ... -
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 ... -
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 ...
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