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View article: <scp>SCABNet</scp>: A Novel Polyp Segmentation Network With Spatial‐Gradient Attention and Channel Prioritization
<span>SCABNet</span>: A Novel Polyp Segmentation Network With Spatial‐Gradient Attention and Channel Prioritization Open
Current colorectal polyps detection methods often struggle with efficiency and boundary precision, especially when dealing with polyps of complex shapes and sizes. Traditional techniques may fail to precisely define the boundaries of these…
View article: Enhancing entangled two-photon absorption of Nile Red via temperature-controlled SPDC
Enhancing entangled two-photon absorption of Nile Red via temperature-controlled SPDC Open
Entangled two-photon absorption can enable a linear scaling of fluorescence emission with the excitation power. In comparison to classical two-photon absorption with a quadratic scaling, this can allow fluorescence imaging or photolithogra…
View article: Malaysian cough sound analysis and COVID-19 classification with deep learning
Malaysian cough sound analysis and COVID-19 classification with deep learning Open
The use of cough sounds as a diagnostic tool for various respiratory illnesses, including COVID-19, has gained significant attention in recent years. Artificial intelligence (AI) has been employed in cough sound analysis to provide a quick…
View article: Deep learning in digital health with chatgpt: a study on efficient code generation
Deep learning in digital health with chatgpt: a study on efficient code generation Open
Background/Introduction Artificial Intelligence (AI) plays a significant role in the healthcare industry by providing innovative solutions to many health-related problems. Deep learning (DL) is a critical component in the development of AI…
View article: RetSeg: Retention-based Colorectal Polyps Segmentation Network
RetSeg: Retention-based Colorectal Polyps Segmentation Network Open
Vision Transformers (ViTs) have revolutionized medical imaging analysis, showcasing superior efficacy compared to conventional Convolutional Neural Networks (CNNs) in vital tasks such as polyp classification, detection, and segmentation. L…
View article: Investigation of ConViT on COVID-19 Lung Image Classification and the Effects of Image Resolution and Number of Attention Heads
Investigation of ConViT on COVID-19 Lung Image Classification and the Effects of Image Resolution and Number of Attention Heads Open
COVID-19 has beenone of the popular foci in the research community since its first outbreak in China, 2019. Radiological patternssuch as ground glass opacity (GGO) andconsolidations are often found inCT scan images ofmoderate to severe COV…
View article: Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques
Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques Open
Given the increased interest in utilizing artificial intelligence as an assistive tool in the medical sector, colorectal polyp detection and classification using deep learning techniques has been an active area of research in recent years.…
View article: Improved Colorectal Polyp Segmentation Using Enhanced MA-NET and Modified Mix-ViT Transformer
Improved Colorectal Polyp Segmentation Using Enhanced MA-NET and Modified Mix-ViT Transformer Open
Colorectal polyps is a prevalent medical condition that could lead to colorectal cancer, a leading cause of cancer-related mortality globally, if left undiagnosed. Colonoscopy remains the gold standard for detection and diagnosis of colore…
View article: Excited‐State Dynamics in Borylated Arylisoquinoline Complexes in Solution and <i>in cellulo</i>
Excited‐State Dynamics in Borylated Arylisoquinoline Complexes in Solution and <i>in cellulo</i> Open
Two four‐coordinate organoboron N , C ‐chelate complexes with different functional terminals on the PEG chains are studied with respect to their photophysical properties within human MCF‐7 cells. Their excited‐state properties are characte…
View article: Facial Age Estimation Using Machine Learning Techniques: An Overview
Facial Age Estimation Using Machine Learning Techniques: An Overview Open
Automatic age estimation from facial images is an exciting machine learning topic that has attracted researchers’ attention over the past several years. Numerous human–computer interaction applications, such as targeted marketing, content …
View article: Understanding the Usability of a Literature-Based Discovery System Among Clinical Researchers in Sarawak, Malaysia
Understanding the Usability of a Literature-Based Discovery System Among Clinical Researchers in Sarawak, Malaysia Open
The rapid increase in scientific publications makes it difficult for researchers to keep up with the latest literature and to explore new research directions. The literature-based discovery (LBD) systems aim to resolve this issue by bridgi…
View article: Artificially Generated Facial Images for Gender Classification Using Deep Learning
Artificially Generated Facial Images for Gender Classification Using Deep Learning Open
Given the current expansion of the computer vision field, several applications that rely on extracting biometric information like facial gender for access control, security or marketing purposes are becoming more common. A typical gender c…
View article: Gender-specific Facial Age Group Classification Using Deep Learning
Gender-specific Facial Age Group Classification Using Deep Learning Open
Facial age is one of the prominent features needed to make decisions, such as accessing certain areas or resources, targeted advertising, or more straightforward decisions such as addressing one another. In machine learning, facial age est…
View article: Mobile Food Journalling Application with Convolutional Neural Network and Transfer Learning: A Case for Diabetes Management in Malaysia
Mobile Food Journalling Application with Convolutional Neural Network and Transfer Learning: A Case for Diabetes Management in Malaysia Open
Diabetes is an ever worsening problem in modern society, placing a heavy burden on healthcare systems. Due to the association between obesity and diabetes, food journaling mobile applications are an effective approach for managing and impr…
View article: AN EXPERIMENTAL EVALUATION OF DEEP NEURAL NETWORK MODEL PERFORMANCE FOR THE RECOGNITION OF CONTRADICTORY MEDICAL RESEARCH CLAIMS USING SMALL AND MEDIUM-SIZED CORPORA
AN EXPERIMENTAL EVALUATION OF DEEP NEURAL NETWORK MODEL PERFORMANCE FOR THE RECOGNITION OF CONTRADICTORY MEDICAL RESEARCH CLAIMS USING SMALL AND MEDIUM-SIZED CORPORA Open
Corpora come in various shapes and sizes and play an essential role in facilitating Natural Language Processing (NLP) tasks. However, the availability of corpora specialized for Evidence-Based Medicine (EBM) related tasks is limited. The s…
View article: Remote Arrhythmia Detection for Eldercare in Malaysia
Remote Arrhythmia Detection for Eldercare in Malaysia Open
Cardiovascular disease continues to be one of the most prevalent medical conditions in modern society, especially among elderly citizens. As the leading cause of deaths worldwide, further improvements to the early detection and prevention …
View article: PEGylation of Guanidinium and Indole Bearing Poly(methacrylamide)s – Biocompatible Terpolymers for pDNA Delivery
PEGylation of Guanidinium and Indole Bearing Poly(methacrylamide)s – Biocompatible Terpolymers for pDNA Delivery Open
This study describes the first example for shielding of a high performing terpolymer that consists of N ‐(2‐hydroxypropyl)methacrylamide (HPMA), N ‐(3‐guanidinopropyl)methacrylamide (GPMA), and N ‐(2‐indolethyl)methacrylamide monomers (IEM…
View article: NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso
NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso Open
For finding keys to understand and elucidate a phenomenon, it is essential to detect dependences among variables, and so measures for that have been proposed. Correlation coefficient and its variants are most common, but they only detect a…
View article: Nanoscopy on the Chea(i)p
Nanoscopy on the Chea(i)p Open
Super-resolution microscopy allows for stunning images with a resolution well beyond the optical diffraction limit, but the imaging techniques are demanding in terms of instrumentation and software. Using scientific-grade cameras, solid-st…
View article: Cost estimation methods for internet infrastructure deployment in Rural Sarawak: a review
Cost estimation methods for internet infrastructure deployment in Rural Sarawak: a review Open
In rural Sarawak, the internet accessibility is low due to unreliable power grids to support telecommunication network and large geographical area. The risk for network infrastructure implementation is high for Internet Service Provider (I…
View article: Economic-statistical design of synthetic np chart with estimated process parameter
Economic-statistical design of synthetic np chart with estimated process parameter Open
The economic-statistical design of the synthetic np chart with estimated process parameter is presented in this study. The effect of process parameter estimation on the expected cost of the synthetic np chart is investigated with the impos…
View article: Effect of Measurement Errors on the Performance of Coefficient of Variation Chart With Short Production Runs
Effect of Measurement Errors on the Performance of Coefficient of Variation Chart With Short Production Runs Open
This paper investigates the performance of the coefficient of variation chart in the presence of measurement errors for finite production horizon. We study a two-sided Shewhart coefficient of variation chart with measurement errors for det…
View article: The Coefficient of Variation Chart based on Median Run Length
The Coefficient of Variation Chart based on Median Run Length Open
This study suggests a design of the coefficient of variation (CV) chart based on the median run length (MRL). The run length distribution of the CV chart changes from highly skewed when the process is in-control to nearly symmetric when th…
View article: Empowering Rural Youth for Socioeconomic Development: A Skill Development Approach in Sarawak, Malaysia
Empowering Rural Youth for Socioeconomic Development: A Skill Development Approach in Sarawak, Malaysia Open
This study investigated how skills development training can empower rural youth to improve their socioeconomic status. An online questionnaire (n = 41) and semistructured interviews (n = 10) were conducted with graduates who joined a six-m…
View article: cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM
cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM Open
High optical resolution in microscopy usually goes along with costly hardware components, such as lenses, mechanical setups and cameras. Several studies proved that Single Molecular Localization Microscopy can be made affordable, relying o…