Md. Zia Uddin
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View article: Identifying influential determinants of women’s empowerment in Bangladesh using machine learning algorithms
Identifying influential determinants of women’s empowerment in Bangladesh using machine learning algorithms Open
Background and objectives Women’s empowerment is a vital issue in lower-middle-income developing countries like Bangladesh, where it plays a pivotal role in advancing development across the nation. Thus, this study aimed to identify the in…
View article: Explainable multimodal fusion for breast carcinoma diagnosis: A systematic review, open problems, and future directions
Explainable multimodal fusion for breast carcinoma diagnosis: A systematic review, open problems, and future directions Open
Breast carcinoma (BC) remains one of the most common and lethal malignancies in women worldwide, making an early and accurate diagnosis a public health priority. Recent artificial intelligence (AI) research has increasingly explored multim…
View article: UPMVM: A Metrics Verification Model for Urdu Poetry
UPMVM: A Metrics Verification Model for Urdu Poetry Open
Urdu poetry retains a prominent position in the cultural heritage of Urdu language. Rhyme schemes and meters are frequently employed in poetry, which follow specific patterns and structures. Natural Language Processing has the capacity to …
View article: Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model
Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model Open
Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition that challenges early diagnosis due to its diverse manifestations across different developmental stages. Timely and accurate detection is essential to enable int…
View article: Predicting Life Expectancy using Machine Learning Techniques
Predicting Life Expectancy using Machine Learning Techniques Open
Life expectancy is a key measure of a country's overall health, socioeconomic development, and quality of life. The main objective of the study is to identify key factors influencing life expectancy using ‘Cleaned-Life-Exp’ standardized da…
View article: Real-Time Norwegian Sign Language Recognition Using MediaPipe and LSTM
Real-Time Norwegian Sign Language Recognition Using MediaPipe and LSTM Open
The application of machine learning models for sign language recognition (SLR) is a well-researched topic. However, many existing SLR systems focus on widely used sign languages, e.g., American Sign Language, leaving other underrepresented…
View article: Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms
Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms Open
Sleep apnea, a fatal sleep disorder causing repetitive respiratory cessation, requires immediate intervention due to neuropsychological issues. However, existing approaches such as polysomnography, considered the most reliable and accurate…
View article: Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques
Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques Open
Sleep disorder detection has greatly improved with the integration of machine learning, offering enhanced accuracy and effectiveness. However, the labor-intensive nature of diagnosis still presents challenges. To address these, we propose …
View article: AUNET (Attention-Based Unified Network): Leveraging Attention-Based N-BEATS for Enhanced Univariate Time Series Forecasting
AUNET (Attention-Based Unified Network): Leveraging Attention-Based N-BEATS for Enhanced Univariate Time Series Forecasting Open
Univariate time series forecasting is pivotal in domains such as climate modeling, finance, and healthcare, where both short-term precision and long-term reliability are essential. This study introduces AUNET (Attention-based Unified Netwo…
View article: Joint Topic-Emotion Modeling in Financial Texts: A Novel Approach to Investor Sentiment and Market Trends
Joint Topic-Emotion Modeling in Financial Texts: A Novel Approach to Investor Sentiment and Market Trends Open
This paper presents a novel approach to financial text analysis by jointly modeling topics and emotions within financial news and social media discussions, thereby advancing market trend understanding and investor sentiment analysis. Lever…
View article: Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks Open
Elderly and individuals with disabilities can greatly benefit from human activity recognition (HAR) systems, which have recently advanced significantly due to the integration of the Internet of Things (IoT) and artificial intelligence (AI)…
View article: Analysis of Different Modality of Data to Diagnose Parkinson's Disease Using Machine Learning and Deep Learning Approaches: A Review
Analysis of Different Modality of Data to Diagnose Parkinson's Disease Using Machine Learning and Deep Learning Approaches: A Review Open
The dynamic nature of Parkinson's disease (PD) is that it gradually impacts regions of the brain that are responsible for the production of the dopamine hormone. Despite continuous efforts, no effective treatment or preventative approach e…
View article: Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation
Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation Open
Organizational success in todays competitive employment market depends on choosing the right staff. This work evaluates software engineer profiles using an automated staff selection method based on advanced natural language processing (NLP…
View article: Improving Collaborative Interactions Between Humans and Artificial Intelligence to Achieve Optimal Patient Outcomes in the Healthcare Industry
Improving Collaborative Interactions Between Humans and Artificial Intelligence to Achieve Optimal Patient Outcomes in the Healthcare Industry Open
The introduction of Artificial Intelligence (AI) into the healthcare industry holds immense promise for improving patient outcomes. However, the interaction between healthcare professionals and AI systems is critical to fully realize the p…
View article: Enhancing ECU identification security in CAN networks using distortion modeling and neural networks
Enhancing ECU identification security in CAN networks using distortion modeling and neural networks Open
A novel technique for electronic control unit (ECU) identification is proposed in this study to address security vulnerabilities of the controller area network (CAN) protocol. The reliable ECU identification has the potential to prevent sp…
View article: SwAV-driven diagnostics: new perspectives on grading diabetic retinopathy from retinal photography
SwAV-driven diagnostics: new perspectives on grading diabetic retinopathy from retinal photography Open
Diabetic Retinopathy (DR) is a serious eye condition that occurs due to high blood sugar levels in patients with Diabetes Mellitus. If left untreated, DR can potentially result in blindness. Using automated neural network-based methods to …
View article: Dissecting the infodemic: An in-depth analysis of COVID-19 misinformation detection on X (formerly Twitter) utilizing machine learning and deep learning techniques
Dissecting the infodemic: An in-depth analysis of COVID-19 misinformation detection on X (formerly Twitter) utilizing machine learning and deep learning techniques Open
The alarming growth of misinformation on social media has become a global concern as it influences public opinions and compromises social, political, and public health development. The proliferation of deceptive information has resulted in…
View article: A Novel generalization of sequential decision-theoretic rough set model and its application
A Novel generalization of sequential decision-theoretic rough set model and its application Open
This paper introduces a refined and broadened version of decision-theoretic rough sets (DTRSs) named Generalized Sequential Decision-Theoretic Rough Set (GSeq-DTRS), which integrates the three-way decision (3WD) methodology. Operating thro…
View article: PriMA-Care: Privacy-Preserving Multi-modal Dataset for Human Activity Recognition in Care Robots
PriMA-Care: Privacy-Preserving Multi-modal Dataset for Human Activity Recognition in Care Robots Open
In the field of robotics, caregiving robots and personal assistants are assuming an increasingly prominent role, directly impacting human lives. Especially in healthcare domains, these systems are starting to provide continuous 24/7 care b…
View article: Analysis of the wake mechanism in external flow around tandem bluff bodies with different aspect ratios
Analysis of the wake mechanism in external flow around tandem bluff bodies with different aspect ratios Open
The interaction mechanism of external flow with two inline rectangular cylinders having different aspect ratios under the impact of gap spacing ( G ) is the subject of this research. The gap spacing between the cylinders was varied from 0.…
View article: A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model
A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model Open
Criminal and suspicious activity detection has become a popular research topic in recent years. The rapid growth of computer vision technologies has had a crucial impact on solving this issue. However, physical stalking detection is still …
View article: High-Fidelity Reconstruction of 3D Temperature Fields Using Attention-Augmented CNN Autoencoders With Optimized Latent Space
High-Fidelity Reconstruction of 3D Temperature Fields Using Attention-Augmented CNN Autoencoders With Optimized Latent Space Open
Understanding and accurately predicting complex three-dimensional (3D) temperature distributions are critical in diverse domains, including climate science and industrial process optimization. This study presents a sophisticated framework …
View article: FUNCTIONAL OUTCOME OF BRISTOW-LATARJET PROCEDURE IN POST-TRAUMATIC RECURRENT ANTERIOR SHOULDER INSTABILITY
FUNCTIONAL OUTCOME OF BRISTOW-LATARJET PROCEDURE IN POST-TRAUMATIC RECURRENT ANTERIOR SHOULDER INSTABILITY Open
Background: Due to its lack of bony support, the shoulder joint has the broadest range of motion out of all the joints in the body. Instead, one of the joints that dislocate most frequently is the shoulder joint. Multiple pathologic abnorm…