118 citations · 577 across the 24 of their papers we have counts for
25 papers
Mining Service Behavior for Stateful Service Emulation
Md Arafat Hossain, Jun Han, Muhammad Ashad Kabir +3
Enterprise software systems are increasingly integrating with diverse services to meet expanding business demands. Testing these highly interconnected systems presents a challenge…
AI-Driven Personalised Offloading Device Prescriptions: A Cutting-Edge Approach to Preventing Diabetes-Related Plantar Forefoot Ulcers and Complications
Sayed Ahmed, Muhammad Ashad Kabir, Muhammad E. H. Chowdhury +1
Diabetes-related foot ulcers and complications are a significant concern for individuals with diabetes, leading to severe health implications such as lower-limb amputation and redu…
Machine Learning Techniques for Estimating Soil Moisture from Mobile Captured Images
Muhammad Riaz Hasib Hossain, Muhammad Ashad Kabir
Precise Soil Moisture (SM) assessment is essential in agriculture. By understanding the level of SM, we can improve yield irrigation scheduling which significantly impacts food pro…
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis
Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir +4
You Only Look Once (YOLO) is a single-stage object detection model popular for real-time object detection, accuracy, and speed. This paper investigates the YOLOv5 model to identify…
A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions
Md Ekramul Hossain, Muhammad Ashad Kabir, Lihong Zheng +3
Increased biosecurity and food safety requirements may increase demand for efficient traceability and identification systems of livestock in the supply chain. The advanced technolo…
Understanding the Effect of Smartphone Cameras on Estimating Munsell Soil Colors from Imagery
Ricky Sinclair, Muhammad Ashad Kabir
The Munsell soil color chart (MSCC) is a in laboratories under controlled conditions. To support an appbased solution, this paper explores three research areas including: (i) ident…
Smartphone Apps for Tracking Food Consumption and Recommendations: Evaluating Artificial Intelligence-based Functionalities, Features and Quality of Current Apps
Sabiha Samad, Fahmida Ahmed, Samsun Naher +4
The advancement of artificial intelligence (AI) and the significant growth in the use of food consumption tracking and recommendation-related apps in the app stores have created a…
Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations
Ayesha Siddiqua, Muhammad Ashad Kabir, Tanzina Ferdous +2
In this technologically advanced era, with the proliferation of artificial intelligence, many mobile apps are available for plant disease detection, diagnosis, and treatment, each…
A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues
A. R. Sana Ullah, Anupam Das, Anik Das +2
Misinformation during pandemic situations like COVID-19 is growing rapidly on social media and other platforms. This expeditious growth of misinformation creates adverse effects on…
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman
The objectives of this research are analysing the performance of the state-of-the-art machine learning techniques for classifying COVID-19 from cough sound and identifying the mode…
Understanding the Social Determinants of Mental Health of the Undergraduate Students in Bangladesh: Interview Study
Ananya Bhattacharjee, S M Taiabul Haque, Abdul Hady +4
Objective: This study aims to identify the social determinants of mental health among undergraduate students in Bangladesh, a developing nation in South Asia. Our goal is to identi…
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging
Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury
Due to the limited availability and high cost of the reverse transcription-polymerase chain reaction (RT-PCR) test, many studies have proposed machine learning techniques for detec…
A Systematic Review of Mobile Apps for Child Sexual Abuse Education: Limitations and Design Guidelines
Sadia Tasnuva Pritha, Rahnuma Tasnim, Muhammad Ashad Kabir +2
The objectives of this study are understanding the requirements of a CSA education app, identifying the limitations of existing apps, and providing a guideline for better app desig…
Heuristic-based Mining of Service Behavioral Models from Interaction Traces
Muhammad Ashad Kabir, Jun Han, Md. Arafat Hossain +1
Software behavioral models have proven useful for emulating and testing software systems. Many techniques have been proposed to infer behavioral models of software systems from the…
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman +1
This paper proposed an ensemble of deep convolutional neural networks (CNN) based on EfficientNet, named ECOVNet, to detect COVID-19 using a large chest X-ray data set. At first, t…
Detecting Autism Spectrum Disorder using Machine Learning
Md Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar +1
Autism Spectrum Disorder (ASD), which is a neuro development disorder, is often accompanied by sensory issues such an over sensitivity or under sensitivity to sounds and smells or…
Mental Health and Sensing
Abdul Kawsar Tushar, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed
Mental health is a global epidemic, affecting close to half a billion people worldwide. Chronic shortage of resources hamper detection and recovery of affected people. Effective se…
Mobile Apps for Foot Measurement: A Scoping Review
Muhammad Ashad Kabir, Sowmen Rahman, Mohammad Mainul Islam +2
With the proliferation of smart phone, a major growth in the use of apps related to the health category, specifically those concerned with foot health can be observed. Although new…
Learning Daily Calorie Intake Standard using a Mobile Game
Anik Das, Sumaiya Amin, Muhammad Ashad Kabir +2
Mobile games can contribute to learning at greater success. In this paper, we have developed and evaluated a novel educational game, named FoodCalorie, to learn the food calorie in…
Towards Domain-Specific Characterization of Misinformation
Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan +1
The rapid dissemination of health misinformation poses an increasing risk to public health. To best understand the way of combating health misinformation, it is important to acknow…
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images
Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir
The COVID-19 pandemic continues to severely undermine the prosperity of the global health system. To combat this pandemic, effective screening techniques for infected patients are…
Automatically Assessing Quality of Online Health Articles
Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan +1
The information ecosystem today is overwhelmed by an unprecedented quantity of data on versatile topics are with varied quality. However, the quality of information disseminated in…
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior
Iqbal H. Sarker, Alan Colman, MA Kabir +1
Mobile phones can record individual's daily behavioral data as a time-series. In this paper, we present an effective time-series segmentation technique that extracts optimal time s…
Identifying Recent Behavioral Data Length in Mobile Phone Log
Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman +1
Mobile phone log data (e.g., phone call log) is not static as it is progressively added to day-by-day according to individ- ual's diverse behaviors with mobile phones. Since human…