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View article: An Uncertainty-Aware Boosting Ensemble for Parkinson’s Disease Early Detection
An Uncertainty-Aware Boosting Ensemble for Parkinson’s Disease Early Detection Open
Affecting millions globally, Parkinson’s disease (PD) is a degenerative neurological disorder that profoundly influences both motor and non-motor functions. Effective treatment depends on early PD detection, which can assist in slowing dow…
View article: RecovGait: Occluded Parkinson’s Disease Gait Reconstruction Using Unscented Tracking with Gated Initialization Technique
RecovGait: Occluded Parkinson’s Disease Gait Reconstruction Using Unscented Tracking with Gated Initialization Technique Open
Parkinson’s disease is a neurodegenerative disorder disease that worsens over time and involves the deterioration of nerve cells in the brain. Gait analysis has emerged as a promising tool for early detection and monitoring of Parkinson’s …
View article: Robust Lane Detection under Varying Lighting Conditions Using Adaptive Vision-Based Techniques
Robust Lane Detection under Varying Lighting Conditions Using Adaptive Vision-Based Techniques Open
Reliable lane detection is crucial to autonomous driving but continues to be challenging with varying lighting conditions. Fluctuations in illuminations due to bright sunlight, shadows or low lighting at night can degrade the visual qualit…
View article: A Non-Invasive Gait-Based Screening Approach for Parkinson’s Disease Using Time-Series Analysis
A Non-Invasive Gait-Based Screening Approach for Parkinson’s Disease Using Time-Series Analysis Open
Parkinson’s disease (PD) is a progressive neurodegenerative disorder that severely impacts motor function, necessitating early detection for effective management. However, current diagnostic methods are expensive and resource-intensive, li…
View article: Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study
Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study Open
Background Parkinson disease (PD) is a progressive neurodegenerative disorder that affects motor coordination, leading to gait abnormalities. Early detection of PD is crucial for effective management and treatment. Traditional diagnostic m…
View article: Exploring Activities of Daily Living Among the Elderly through Machine Learning Techniques
Exploring Activities of Daily Living Among the Elderly through Machine Learning Techniques Open
Activities of daily living (ADLs) is a term that is used to describe the activities performed in everyday life that involves the motion of the human body such as eating, walking, and sitting. ADLs can be used to determine the state of elde…
View article: AggreGait: Automatic gait feature extraction for human age and gender classification with possible occlusion
AggreGait: Automatic gait feature extraction for human age and gender classification with possible occlusion Open
The growing interest in smart surveillance and automated public access control necessitates robust age and gender classification (AGC) techniques that can operate effectively in unconstrained environments. While model-based gait obtained v…
View article: Fiber Break Prevention Using Machine Learning Approaches
Fiber Break Prevention Using Machine Learning Approaches Open
Modern fiber-optic communication systems are built around optical fiber, which allows data to be sent by emitting infrared light pulses. It is widely used by telecommunications firms and is essential to the smooth transmission of informati…
View article: Parkinson’s disease screening using a fusion of gait point cloud and silhouette features
Parkinson’s disease screening using a fusion of gait point cloud and silhouette features Open
Parkinson’s Disease (PD) is a neurodegenerative disorder that is often accompanied by slowness of movement (bradykinesia) or gradual reduction in the frequency and amplitude of repetitive movement (hypokinesia). There is currently no cure …
View article: Classifying Scam Calls Through Content Analysis With Dynamic Sparsity Top-<i>k</i> Attention Regularization
Classifying Scam Calls Through Content Analysis With Dynamic Sparsity Top-<i>k</i> Attention Regularization Open
The rise of scam calls in recent years necessitated effective countermeasures against these fraudulent activities, which cause financial losses and threaten personal security. Although previous research utilizing traditional machine learni…
View article: Wrong-Way Driving Detection for Enhanced Road Safety using Computer Vision and Machine Learning Techniques
Wrong-Way Driving Detection for Enhanced Road Safety using Computer Vision and Machine Learning Techniques Open
This paper describes a real-time vehicle detection and tracking system using deep learning techniques together with computer vision. A system based on the YOLOv4 model is developed using the Lukas-Kanade optical flow technique to locate th…
View article: Traffic Violation Detection Using Computer Vision Techniques
Traffic Violation Detection Using Computer Vision Techniques Open
The increasing number of road accidents is still a global concern. Traditional approaches to detecting traffic violators on the road, such as radar guns and sensors, are expensive and time-consuming to maintain and install. This often resu…
View article: A Non-Invasive Gait-Based Screening Approach for Parkinson’s Disease
A Non-Invasive Gait-Based Screening Approach for Parkinson’s Disease Open
Parkinson's disease (PD) presents a significant global health challenge, characterized by the progressive degeneration of dopamine-producing neurons in the brain, resulting in both motor and non-motor symptoms that severely impact quality …
View article: Visual Analytic for Traffic Impact Assessment
Visual Analytic for Traffic Impact Assessment Open
This study strives to promote the state of traffic impact assessment through high-end visual analytics by incorporating spatial and temporal data visualization to enhance traffic management. Based on a dataset on traffic flow at three majo…
View article: Fall risk prediction using temporal gait features and machine learning approaches
Fall risk prediction using temporal gait features and machine learning approaches Open
Introduction Falls have been acknowledged as a major public health issue around the world. Early detection of fall risk is pivotal for preventive measures. Traditional clinical assessments, although reliable, are resource-intensive and may…
View article: Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study (Preprint)
Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study (Preprint) Open
BACKGROUND Parkinson disease (PD) is a progressive neurodegenerative disorder that affects motor coordination, leading to gait abnormalities. Early detection of PD is crucial for effective management and treatment. Traditional diagnostic …
View article: Gait-based age group classification with adaptive Graph Neural Network
Gait-based age group classification with adaptive Graph Neural Network Open
Deep learning techniques have recently been utilized for model-free age-associated gait feature extraction.
\nHowever, acquiring model-free gait demands accurate pre-processing such as background subtraction, which
\nis non-trivial in unco…
View article: Visual-based vehicle detection with adaptive oversampling
Visual-based vehicle detection with adaptive oversampling Open
In this study, the class imbalance issue in vehicle detection was addressed. Specifically, certain classes such as Tow Truck were found to have significantly fewer samples compared to others such as normal trucks. This imbalance could be a…
View article: Abnormal behavior recognition using SRU with attention mechanism
Abnormal behavior recognition using SRU with attention mechanism Open
In response to the critical need for enhanced public safety measures, this study introduces an advanced intelligent surveillance system designed to autonomously detect abnormal behaviors within public spaces. Leveraging the computational e…
View article: A Robust License Plate Detection System Using Smart Device
A Robust License Plate Detection System Using Smart Device Open
The license plate recognition (LPR) system is widely employed in various applications. However, most research studies have used a fixed camera rather than a moving one. This is because the location of the vehicle plate is nearly static and…
View article: A Review of AI Techniques in Fruit Detection and Classification: Analyzing Data, Features and AI Models Used in Agricultural Industry
A Review of AI Techniques in Fruit Detection and Classification: Analyzing Data, Features and AI Models Used in Agricultural Industry Open
Artificial Intelligence (AI) techniques are used in agricultural industry for detecting,
\nclassifying, and assessing the quality of fruits. The primary focus of the discussed fruits pertains to
\noil palm fresh fruit bunches (FFB), which …
View article: Boosting Vehicle Classification with Augmentation Techniques across Multiple YOLO Versions
Boosting Vehicle Classification with Augmentation Techniques across Multiple YOLO Versions Open
In recent years, computer vision has experienced a surge in applications across various domains, including product and quality inspection, automatic surveillance, and robotics. This study proposes techniques to enhance vehicle object detec…
View article: Vision-Based Gait Analysis for Neurodegenerative Disorders Detection
Vision-Based Gait Analysis for Neurodegenerative Disorders Detection Open
Parkinson’s Disease (PD) is a debilitating neurodegenerative disorder that affects a significant portion of aging population. Early detection of PD symptoms is crucial to prevent the progression of the disease. Research has revealed that g…
View article: QARR-FSQA: Question-Answer Replacement and Removal Pretraining Framework for Few-Shot Question Answering
QARR-FSQA: Question-Answer Replacement and Removal Pretraining Framework for Few-Shot Question Answering Open
In Natural Language Processing, creating training data for question answering (QA) systems
\ntypically requires significant effort and expertise. This challenge is amplified in few-shot scenarios where
\nonly a limited number of training s…
View article: Human Age Group Estimation Using Gait Features
Human Age Group Estimation Using Gait Features Open
In many practical applications, identifying the target age group is essential for marketing products and services. For instance, gaming and entertainment companies need to understand which age groups are most likely to purchase their servi…
View article: Human Age Group Estimation Using Gait Features
Human Age Group Estimation Using Gait Features Open
In many practical applications, identifying the target age group is essential for marketing products and services. For instance, gaming and entertainment companies need to understand which age groups are most likely to purchase their servi…
View article: Cheating Detection for Online Examination Using Clustering Based Approach
Cheating Detection for Online Examination Using Clustering Based Approach Open
Online exams have become increasingly popular due to their convenience in eliminating the need for physical exams and allowing students to take exams from remote locations. However, one of the drawbacks of online exams is that they make ch…
View article: Facial and Body Gesture Recognition for Determining Student Concentration Level
Facial and Body Gesture Recognition for Determining Student Concentration Level Open
Online learning has gained immense popularity, especially since the COVID-19 pandemic. However, it has also brought its own set of challenges. One of the critical challenges in online learning is the ability to evaluate students' concentra…
View article: Building a Fortress Against Fake News
Building a Fortress Against Fake News Open
Given the prevalence of fake news in today’s tech-driven era, an urgent need exists for an automated mechanism to effectively curb its dissemination. This research aims to demonstrate the impacts of fake news through a literature review an…
View article: GenReGait: Gender Recognition using Gait Features
GenReGait: Gender Recognition using Gait Features Open
Gender recognition based on gait features has gained significant interest due to its wide range of applications in various fields. This paper proposes GenReGait, a robust method for gender recognition utilizing gait features. Gait, the uni…