Publications
Our research contributions and scientific publications
Showing 51 publication
SmartFarming: Lumpy Skin Disease Detection from Smartphone-captured Cattle Imag…
Sharmin Islam Shroddha; Sanjana Raquib Bijoya; Towsif Ahmed; Umme Rumman Chaity; Md Shakhawat Hossain; M M Mahbubul Syeed
Lumpy skin disease, commonly known as LSD, poses a significant threat to cattle health, welfare and the livestock industry. It is associated with substantial …
Vision Transformer for the Categorization of Breast Cancer from H&E Histopathol…
Md Shakhawat Hossain, Ashifur Rahman, Munim Ahmed, Kaniz Fatema, MM Mahbubul Syeed, Mohammad Anowar Hussen and Mohammad Faisal Uddin
Journal of Image and Graphics , Vol. 13 (4) , pp. 380-393
Breast Cancer (BC) is the most frequent form of cancer, accounting for 24.5% of all cancer cases worldwide, with projections estimating 364,000 cases by …
AI-assisted polyps detection to facilitate autonomous endoscopy examination
Munim Ahmed, Md Sahilur Rahman, Md Shakhawat Hossain, Mahmudur Rahman, Fariha Karim, Mahreen Tabassum
Examining the gastrointestinal (GI) tract to find polyps is a major task in endoscopy to diagnose, monitor and treat digestive disorders and diseases. Traditionally, …
BDFreshFish: A Comprehensive Image Dataset of Bangladeshi Freshwater Fishes to …
Md. Wahidur Rahman, Md. Tarequl Islam, Md. Rahat Khan, Mohammad Motiur Rahman, Munim Ahmed, Md Shahilur Rahman, Md Shakhawat Hossain
The BDFreshFish dataset that is presented in the paper contains image data that corresponds to eight different types of native freshwater fish that are …
Deep Learning for Imbalanced Gastrointestinal Image Classification: A Comparati…
Abdullah Al Shafi, Munim Ahmed, Md Sahilur Rahman, Md Shakhawat Hossain, Mohammad Faisal Uddin
Gastrointestinal (GI) diseases refer to a wide range of disorders that affect different parts of the digestive system, including the esophagus, stomach, small intestine …
Medicinal plant classification using particle swarm optimized cascaded network
Md Tarequl Islam, Wahidur Rahman, Md Shakhawat Hossain, Kaniz Roksana, Irma Domínguez Azpíroz, Raquel Martínez Diaz, Imran Ashraf, Md Abdus Samad
IEEE Access , Vol. 12 , pp. 42465-42478
Medicinal plants are essential to healthcare since ancient times and are integral to developing drugs and other medical treatments. More than 25% of medicines …
IoT-Based Solar Automated Irrigation System
Md Jarif Hossain Khan, Jannat Un Nayeem Iqra, Md Ahnaf Rashid, Noman E Jawad, Md Shakhawat Hossain, Mohammad Rejwan Uddin, Mahady Hasan
Automatic irrigation systems have recently gained popularity due to their effectiveness and simplicity in watering plants. Despite advances made in this area, there is …
A Solar-Based Comprehensive Agriculture System Featuring Smart Irrigation, Weat…
Fariza Rahman, Jihan Islam, Fabiha Rahman, Md Shakhawat Hossain, Mohammad Rejwan Uddin, Mahady Hasan
The growing global need for food and the need for sustainable agricultural practices has spurred the development of innovative crop yield, water conservation, and …
Residual Tumor Cellularity Assessment of Breast Cancer after Neoadjuvant Therap…
Md Shakhawat Hossain, Md Sahilur Rahman, Munim Ahmed, Nazia Alfaz, Sirajum Munira Shifat, MM Mahbubul Syeed, Mohammad Anowar Hussen, Mohammad Faisal …
IEEE Access , Vol. 12 , pp. 86083 - 86095
Residual tumor cellularity (RTC) is assessed routinely after neoadjuvant therapy (NAT) for Breast Cancer (BC) patients to determine the effectiveness of therapy and plan …
IoT-Based Smart Energy Monitoring and Energy Demand Response System
Muzahidul Islam, Nohori Jobaida, Md Shakhawat Hossain, Mohammad Rejwan Uddin, Mahady Hasan
Electricity usage has increased, resulting in substantial reliance on it, necessitating the monitoring and evaluation of electrical infrastructure in residential and commercial structures. This …
Development of a Scalable Industrial Process Monitoring Sensor System for Large…
Samiul Hoque, Imtiaz Ahmmed, Asif Jobair, Md Shakhawat Hossain, Mohammad Rejwan Uddin, Mahady Hasan
This research paper presents the design process and implementation of a large-scale industrial Process Monitoring Sensor System for large-scale IoT deployments. With the rising …
Machine Learning-Assisted Interference Management in the 6G UAV Networks with S…
Md. Sakir Hossain, Md. Imran Ahmed, Rayhan Khan Ridoy, Mirza Hasibul Hasan, Md. Shakhawat Hossain
Sixth-generation (6G) wireless networks are envisioned to be ubiquitous. To ensure ubiquity and seamless connectivity, networks with unmanned aerial vehicles (UAVs) are envisioned as …
SmartFarming: Lumpy Skin Disease Detection from Smartphone-captured Cattle Images using Transformer Model
Sharmin Islam Shroddha; Sanjana Raquib Bijoya; Towsif Ahmed; Umme Rumman Chaity; Md Shakhawat Hossain; M M Mahbubul Syeed
Lumpy skin disease, commonly known as LSD, poses a significant threat to cattle health, welfare and the livestock industry. It is associated with substantial economic loss and cattle death, especially in Bangladesh, where most farmers do not have proper …
Vision Transformer for the Categorization of Breast Cancer from H&E Histopathology Images
Md Shakhawat Hossain, Ashifur Rahman, Munim Ahmed, Kaniz Fatema, MM Mahbubul Syeed, Mohammad Anowar Hussen and Mohammad Faisal Uddin
Journal of Image and Graphics , Vol. 13 (4) , pp. 380-393
Breast Cancer (BC) is the most frequent form of cancer, accounting for 24.5% of all cancer cases worldwide, with projections estimating 364,000 cases by 2040. Accurate diagnosis and effective categorization of BC are essential for proper treatment planning, patient …
AI-assisted polyps detection to facilitate autonomous endoscopy examination
Munim Ahmed, Md Sahilur Rahman, Md Shakhawat Hossain, Mahmudur Rahman, Fariha Karim, Mahreen Tabassum
Examining the gastrointestinal (GI) tract to find polyps is a major task in endoscopy to diagnose, monitor and treat digestive disorders and diseases. Traditionally, an expert performs this examination to identify polyps based on the endoscope-generated images displayed on …
BDFreshFish: A Comprehensive Image Dataset of Bangladeshi Freshwater Fishes to Develop AI-driven Solutions for Autonomous Fisheries Management
Md. Wahidur Rahman, Md. Tarequl Islam, Md. Rahat Khan, Mohammad Motiur Rahman, Munim Ahmed, Md Shahilur Rahman, Md Shakhawat Hossain
The BDFreshFish dataset that is presented in the paper contains image data that corresponds to eight different types of native freshwater fish that are found in various parts of Bangladesh. The following categories are distinguished by their scientific names: …
Deep Learning for Imbalanced Gastrointestinal Image Classification: A Comparative Study of Architectural Choices
Abdullah Al Shafi, Munim Ahmed, Md Sahilur Rahman, Md Shakhawat Hossain, Mohammad Faisal Uddin
Gastrointestinal (GI) diseases refer to a wide range of disorders that affect different parts of the digestive system, including the esophagus, stomach, small intestine and large intestine. Pathological features play a crucial role in classifying gastrointestinal diseases. Early and …
Medicinal plant classification using particle swarm optimized cascaded network
Md Tarequl Islam, Wahidur Rahman, Md Shakhawat Hossain, Kaniz Roksana, Irma Domínguez Azpíroz, Raquel Martínez Diaz, Imran Ashraf, Md Abdus Samad
IEEE Access , Vol. 12 , pp. 42465-42478
Medicinal plants are essential to healthcare since ancient times and are integral to developing drugs and other medical treatments. More than 25% of medicines in developed countries are produced from medicinal plants, while in developing countries, approximately 80% of …
IoT-Based Solar Automated Irrigation System
Md Jarif Hossain Khan, Jannat Un Nayeem Iqra, Md Ahnaf Rashid, Noman E Jawad, Md Shakhawat Hossain, Mohammad Rejwan Uddin, Mahady Hasan
Automatic irrigation systems have recently gained popularity due to their effectiveness and simplicity in watering plants. Despite advances made in this area, there is still room for development. This research study will look at the most recent improvements in …
A Solar-Based Comprehensive Agriculture System Featuring Smart Irrigation, Weather Station, and Disease Detection
Fariza Rahman, Jihan Islam, Fabiha Rahman, Md Shakhawat Hossain, Mohammad Rejwan Uddin, Mahady Hasan
The growing global need for food and the need for sustainable agricultural practices has spurred the development of innovative crop yield, water conservation, and disease mitigation solutions. A solar-based agriculture system with smart irrigation, weather stations, and disease detection …
Residual Tumor Cellularity Assessment of Breast Cancer after Neoadjuvant Therapy using Image Transformer
Md Shakhawat Hossain, Md Sahilur Rahman, Munim Ahmed, Nazia Alfaz, Sirajum Munira Shifat, MM Mahbubul Syeed, Mohammad Anowar Hussen, Mohammad Faisal Uddin
IEEE Access , Vol. 12 , pp. 86083 - 86095
Residual tumor cellularity (RTC) is assessed routinely after neoadjuvant therapy (NAT) for Breast Cancer (BC) patients to determine the effectiveness of therapy and plan the treatment. RTC is also considered a prognostic biomarker associated with metastatic recurrence and survival …
IoT-Based Smart Energy Monitoring and Energy Demand Response System
Muzahidul Islam, Nohori Jobaida, Md Shakhawat Hossain, Mohammad Rejwan Uddin, Mahady Hasan
Electricity usage has increased, resulting in substantial reliance on it, necessitating the monitoring and evaluation of electrical infrastructure in residential and commercial structures. This study focuses on the residential sector, where customers waste a significant amount of power, roughly. …
Development of a Scalable Industrial Process Monitoring Sensor System for Large-Scale IoT Networks using MQTT and Time Series Database
Samiul Hoque, Imtiaz Ahmmed, Asif Jobair, Md Shakhawat Hossain, Mohammad Rejwan Uddin, Mahady Hasan
This research paper presents the design process and implementation of a large-scale industrial Process Monitoring Sensor System for large-scale IoT deployments. With the rising popularity of IoT devices, a major concern is the ease of use and integration of …
Machine Learning-Assisted Interference Management in the 6G UAV Networks with Soft Frequency Reuse
Md. Sakir Hossain, Md. Imran Ahmed, Rayhan Khan Ridoy, Mirza Hasibul Hasan, Md. Shakhawat Hossain
Sixth-generation (6G) wireless networks are envisioned to be ubiquitous. To ensure ubiquity and seamless connectivity, networks with unmanned aerial vehicles (UAVs) are envisioned as a potential solution. However, many challenges are still ahead to make such networks practically feasible. …