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View article: Sensitivity Analysis of Parameter Control in Leukemia Classification Using Variable-Length Particle Swarm Optimization
Sensitivity Analysis of Parameter Control in Leukemia Classification Using Variable-Length Particle Swarm Optimization Open
Machine learning has the potential to support hematologists in classifying leukemia by identifying abnormal chromosomes and specific gene markers. One effective technique for feature selection is Variable-Length Particle Swarm Optimization…
View article: Advancements in Semi-Supervised Deep Learning for Brain Tumor Segmentation in MRI: A Literature Review
Advancements in Semi-Supervised Deep Learning for Brain Tumor Segmentation in MRI: A Literature Review Open
For automatic tumor segmentation in magnetic resonance imaging (MRI), deep learning offers very powerful technical support with significant results. However, the success of supervised learning is strongly dependent on the quantity and accu…
View article: A study of adaptive population sizing in a self-adaptive differential evolution
A study of adaptive population sizing in a self-adaptive differential evolution Open
View article: Medical Waste Vehicle Routing Problem – A Review of Objectives, Collection and Transportation Strategies, and Algorithms
Medical Waste Vehicle Routing Problem – A Review of Objectives, Collection and Transportation Strategies, and Algorithms Open
There has been a dramatic increase in medical waste due to rapid urbanisation and population growth, especially the coronavirus disease 2019 outbreak. Inadequate medical waste collection and transportation will negatively impact sustainabl…
View article: Feature Selection Optimisation for Cancer Classification Based on Evolutionary Algorithms: An Extensive Review
Feature Selection Optimisation for Cancer Classification Based on Evolutionary Algorithms: An Extensive Review Open
View article: Enhancing English Pronunciation Learning in Primary Education through Natural Language Processing: A Quantitative Study
Enhancing English Pronunciation Learning in Primary Education through Natural Language Processing: A Quantitative Study Open
Learning English pronunciation is crucial for primary school pupils to enhance their communication skills, yet many struggle. This study evaluates the effectiveness of a natural language processing (NLP) tool in improving English pronuncia…
View article: The intersection of economic growth and environmental sustainability in China: Pathways to achieving SDG
The intersection of economic growth and environmental sustainability in China: Pathways to achieving SDG Open
View article: Overview Discourse on Inherent Distinction of Multiobjective Optimization in Routing Heuristics for Multi-Depot Vehicle Instances
Overview Discourse on Inherent Distinction of Multiobjective Optimization in Routing Heuristics for Multi-Depot Vehicle Instances Open
This paper reviews the research methodologies used in earlier years on the benefits and traits reflected by multi-depot vehicle routing problem (MDVRP) instances and assesses the efficacy of various improvised techniques to improve the cur…
View article: Convolutional neural network optimized by differential evolution for electrocardiogram classification
Convolutional neural network optimized by differential evolution for electrocardiogram classification Open
View article: LCAM: Low-Complexity Attention Module for Lightweight Face Recognition Networks
LCAM: Low-Complexity Attention Module for Lightweight Face Recognition Networks Open
Inspired by the human visual system to concentrate on the important region of a scene, attention modules recalibrate the weights of either the channel features alone or along with spatial features to prioritize informative regions while su…
View article: Assessing Provisions and Requirements for the Sustainable Production of Plastics: Towards Achieving SDG 12 from the Consumers’ Perspective
Assessing Provisions and Requirements for the Sustainable Production of Plastics: Towards Achieving SDG 12 from the Consumers’ Perspective Open
Plastics are used widely, and modern civilization would have to behave differently without them. However, plastics pose a threat to sustainable life. This paper focuses on some of the provisions being made for sustainable production to dat…
View article: A Federated Learning Framework Based on Incremental Weighting and Diversity Selection for Internet of Vehicles
A Federated Learning Framework Based on Incremental Weighting and Diversity Selection for Internet of Vehicles Open
With the rapid increase of data, centralized machine learning can no longer meet the application requirements of the Internet of Vehicles (IoV). On the one hand, both car owners and regulators pay more attention to data privacy and are unw…
View article: A Hybrid of Fully Informed Particle Swarm and Self-Adaptive Differential Evolution for Global Optimization
A Hybrid of Fully Informed Particle Swarm and Self-Adaptive Differential Evolution for Global Optimization Open
Evolutionary computation algorithms (EC) and swarm intelligence have been widely used to solve global optimization problems. The optimal solution for an optimization problem is called by different terms in EC and swarm intelligence. It is …
View article: Systematic Review of Education Sustainable Development in Higher Education Institutions
Systematic Review of Education Sustainable Development in Higher Education Institutions Open
It is vital to enforce the distinguished assimilation of sustainability entities in higher education (HE) and establish an academia-wide collective curriculum on sustainability in an efficient manner, in order to disseminate and stimulate …
View article: Peer Review #2 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.1)"
Peer Review #2 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.1)" Open
Internet of Vehicles (IoV) is an interactive network providing intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control to the running vehicles.One of the main problems in IoV is the reluctan…
View article: Peer Review #3 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.1)"
Peer Review #3 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.1)" Open
Internet of Vehicles (IoV) is an interactive network providing intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control to the running vehicles.One of the main problems in IoV is the reluctan…
View article: Peer Review #3 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.2)"
Peer Review #3 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.2)" Open
Internet of Vehicles (IoV) is an interactive network providing intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control to the running vehicles.One of the main problems in IoV is the reluctan…
View article: Peer Review #3 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.3)"
Peer Review #3 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.3)" Open
Internet of Vehicles (IoV) is an interactive network providing intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control to the running vehicles.One of the main problems in IoV is the reluctan…
View article: OES-Fed: a federated learning framework in vehicular network based on noise data filtering
OES-Fed: a federated learning framework in vehicular network based on noise data filtering Open
The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control to running vehicles. One of the main problems in the IoV is the rel…
View article: Peer Review #2 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.2)"
Peer Review #2 of "OES-Fed: a federated learning framework in vehicular network based on noise data filtering (v0.2)" Open
Internet of Vehicles (IoV) is an interactive network providing intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control to the running vehicles.One of the main problems in IoV is the reluctan…
View article: Integrating Environmental Protection and Sustainable Waste Practices Among the Communities in Higher Education Institutions: Case Study in a Malaysian University
Integrating Environmental Protection and Sustainable Waste Practices Among the Communities in Higher Education Institutions: Case Study in a Malaysian University Open
This work is reporting the advocation of a public Malaysia University for the environmental protection through sustainable waste practices ever since its ban on the use of the “White Coffin” initiative in circa 2008, a flagship for environ…
View article: Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector
Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector Open
Optometrists, ophthalmologists, orthoptists, and other trained medical professionals use fundus photography to monitor the progression of certain eye conditions or diseases. Segmentation of the vessel tree is an essential process of retina…
View article: Statistical Analysis of Green Laboratory Practice Survey: Conservation on Non-Distilled Water from Distillation Process
Statistical Analysis of Green Laboratory Practice Survey: Conservation on Non-Distilled Water from Distillation Process Open
The water crisis is identified as the most serious global risk for the coming decade. Distilled water is one of the on-demand elements in academic laboratories; however, water scarcity may eventually affect the education sector, necessitat…
View article: Quality Assessment Methods to Evaluate the Performance of Edge Detection Algorithms for Digital Image: A Systematic Literature Review
Quality Assessment Methods to Evaluate the Performance of Edge Detection Algorithms for Digital Image: A Systematic Literature Review Open
A segmentation process is usually required in order to analyze an image. One of the available segmentation approaches is by detecting the edges on the image. Up to now, there are many edge detection algorithms that researchers have propose…
View article: Contrast Enhancement Pipelines for Digital Image Captured in Dark Environment
Contrast Enhancement Pipelines for Digital Image Captured in Dark Environment Open
View article: Self-adaptive Ensemble Based Differential Evolution
Self-adaptive Ensemble Based Differential Evolution Open
Differential evolution (DE) is among the more prominent branch of evolutionary algorithm (EA) innovated for multiple optimization properties.It has been improvised in various practical solutions, whether it is for benchmark testing or real…
View article: Learning lab on disaster risk management for sustainable development (DRM-SD)
Learning lab on disaster risk management for sustainable development (DRM-SD) Open
Purpose A series of “learning lab” projects on disaster risk management for sustainable development (DRM-SD) have been accomplished from 2014 to 2016 in Malaysia, Vietnam, Lao PDR and Cambodia by the Centre for Global Sustainability Studie…
View article: Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue–Red Simulation Environment
Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue–Red Simulation Environment Open
Autonomous systems are making their way to the market. The transition from tasks performed by humans to tasks performed by machines begs for an answer to one of the most challenging questions in this area of research: Will humans understan…
View article: Malaysia's EOC Strategy in Strengthening the Science Knowledge, Awareness and National Interest Towards the Polar Regions
Malaysia's EOC Strategy in Strengthening the Science Knowledge, Awareness and National Interest Towards the Polar Regions Open
This study aims to examine Malaysia’s involvement in the Polar Regions, in the context of education, outreach, and communication (EOC), and consequently, to determine the effectiveness of these initiatives. Using qualitative and quantitati…
View article: Strengthening Scientific Literacy on Polar Regions through Education, Outreach and Communication (EOC).
Strengthening Scientific Literacy on Polar Regions through Education, Outreach and Communication (EOC). Open