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私たちの研究貢献と科学論文
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Ensemble of Deep Learning Models to Select Ovarian Cancer Patients for Bevacizu…
Md Sahilur Rahman; Munim Ahmed; Md Shakhawat Hossain; MM Mahbubul Syeed; Mohammad Faisal Uddin
Bevacizumab monoclonal therapy, in combination with chemotherapy, is an FDA-approved treatment for ovarian cancer (OC), particularly for patients with epithelial ovarian cancer (EOC) patients. …
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 …
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 …
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 …
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 …
An Interpretable Hybrid CNN-SVM Model for Predicting Stress Among University St…
Ashifur Rahman, MM Mahbubul Syeed, Kaniz Fatema, Razib Hayat Khan, Md Shakhawat Hossain, Mohammad Faisal Uddin
Stress among university students can be defined as a state of mental tension caused by difficult academic endeavours. Nonetheless, stress at the tertiary (i.e., …
Predicting Depression Among University Students: a Comparative Assessment of ML…
Jahid Hasan Rony, MM Mahbubul Syeed, Razib Hayat Khan, Kaniz Fatema, Md Shakhawat Hossain, Mohammad Faisal Uddin
Depression among university students is a critical mental health issue that significantly impacts their academic performance, social interactions, and overall well-being. This study investigates …
Environmental Monitoring System for Renewable Energy Installations
Mohammad Rejwan Uddin, Mohsina Tabassum, Md Shad Ashfaque Hossain, Md Shakhawat Hossain, Mahady Hasan
Renewable energy installations have significant potential. Nonetheless, the effectiveness of their functioning is contingent upon the dynamic nature of the environment within which they …
Ensemble of Deep Learning Models to Select Ovarian Cancer Patients for Bevacizumab Monoclonal Therapy
Md Sahilur Rahman; Munim Ahmed; Md Shakhawat Hossain; MM Mahbubul Syeed; Mohammad Faisal Uddin
Bevacizumab monoclonal therapy, in combination with chemotherapy, is an FDA-approved treatment for ovarian cancer (OC), particularly for patients with epithelial ovarian cancer (EOC) patients. However, numerous studies have reported adverse effects associated with this treatment, including hypertension, bleeding, cardiac …
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 …
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 …
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 …
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 …
An Interpretable Hybrid CNN-SVM Model for Predicting Stress Among University Students
Ashifur Rahman, MM Mahbubul Syeed, Kaniz Fatema, Razib Hayat Khan, Md Shakhawat Hossain, Mohammad Faisal Uddin
Stress among university students can be defined as a state of mental tension caused by difficult academic endeavours. Nonetheless, stress at the tertiary (i.e., University) level has been the subject of much research as accurately predicting mental stress is …
Predicting Depression Among University Students: a Comparative Assessment of ML & DL models using XAI
Jahid Hasan Rony, MM Mahbubul Syeed, Razib Hayat Khan, Kaniz Fatema, Md Shakhawat Hossain, Mohammad Faisal Uddin
Depression among university students is a critical mental health issue that significantly impacts their academic performance, social interactions, and overall well-being. This study investigates the efficacy of machine learning (ML) and deep learning (DL) models in measuring depression, a …
Environmental Monitoring System for Renewable Energy Installations
Mohammad Rejwan Uddin, Mohsina Tabassum, Md Shad Ashfaque Hossain, Md Shakhawat Hossain, Mahady Hasan
Renewable energy installations have significant potential. Nonetheless, the effectiveness of their functioning is contingent upon the dynamic nature of the environment within which they function. To address this difficulty, we propose an innovative solution: the Internet of Things (IoT) …