Galib Muhammad Shahriar Himel, Md. Masudul Islam, Kh. Abdullah Al-Aff, Shams Ibne Karim et al.
Skin cancer is a significant health concern worldwide, and early and accurate diagnosis plays a crucial role in improving patient outcomes. In recent years, deep learning models have shown remarkable success in various computer vision tasks, including image classification. In this research study, we...
Md Shakhawat Hossain, Galib Muhammad Shahriar, M. M. Mahbubul Syeed, Mohammad Faisal Uddin et al.
Selecting regions of interest (ROI) is a common step in medical image analysis across all imaging modalities. An ROI is a subset of an image appropriate for the intended analysis and identified manually by experts. In modern pathology, the analysis involves processing multidimensional and high resol...
Galib Muhammad Shahriar Himel, Md. Masudul Islam, Mijanur Rahaman
Automatically recognizing sheep breeds is highly valuable for the sheep farming industry, allowing farmers to pinpoint their specific business needs. Accurately distinguishing between sheep breeds poses a challenge for numerous farmers with limited expertise. Although biometric-based identification ...
Md Shakhawat Hossain, Galib Muhammad Shahriar, M. M. Mahbubul Syeed, Mohammad Faisal Uddin et al.
Traditionally, pathological analysis and diagnosis are performed by manually eyeballing glass-slide specimen under a microscope by an expert. Whole slide image (WSI) is the digital specimen produced from the glass-slide. WSI enabled specimen to be observed on a computer-screen and led to computation...
Galib Muhammad Shahriar Himel, Md. Masudul Islam, Mijanur Rahaman
The ability to automatically recognize sheep breeds holds significant value for the sheep industry. Sheep farmers often require breed identification to assess the commercial worth of their flocks. However, many farmers specifically the novice one encounter difficulties in accurately identifying shee...
Md. Masudul Islam, Galib Muhammad Shahriar Himel, Mohammad Shorif Uddin, Md. Golam Moazzam
This article presents a comprehensive dataset sourced from various markets across Bangladesh, highlighting 20 distinct rice varieties predominantly consumed locally. The dataset encompasses a diverse range of rice strains, including Subol Lota, Bashmoti (Deshi), Ganjiya, Shampakatari, Sugandhi Katar...
Md. Masudul Islam, Galib Muhammad Shahriar Himel, Golam Moazzam, Mohammad Shorif Uddin
M.R.I. Sheikh, Md. Masudul Islam, Galib Muhammad Shahriar Himel
This article introduces a comprehensive dataset designed for researchers to classify diseases in Luffa leaves, determine the grade of Luffa from Luffa images, and identify different growth stages throughout the year. The dataset is meticulously organized into three sections, each concentrating on sp...
Galib Muhammad Shahriar Himel, Md. Masudul Islam
This article presents a comprehensive dataset featuring ten distinct hen breeds, sourced from various regions, capturing the unique characteristics and traits of each breed. The dataset encompasses Bielefeld, Blackorpington, Brahma, Buckeye, Fayoumi, Leghorn, Newhampshire, Plymouthrock, Sussex, and ...
Nahid Mahamud, Galib Muhammad Shahriar, Hedayet Ullah Khan, Sanjida Sharmin et al.
The purpose of the research is to make a unique drone which is capable to move autonomously through any environment by interacting with server by itself. The main uniqueness is that it can move through air, land and water. Nowadays various drones are seem to be available. But such a drone which can ...
Md. Mominur Rahman, Galib Muhammad Abrar Ishtiaque, Shahriar Ahmed Rahat, Md. Abid Hossain et al.
Galib Muhammad Shahriar Himel, Md. Masudul Islam
Abstract This research paper probes into the vital importance of poultry farming, specifically focusing on hens, which play a vibrant role in meeting the global demand for both eggs and meat. Identifying hen breeds and recognizing diseases pose significant challenges in poultry management, necessita...
Md. Masudul Islam, Galib Muhammad Shahriar Himel, Md. Golam Moazzam, Mohammad Shorif Uddin
ABSTRACT Rice, a staple food for over half of the global population, exhibits remarkable diversity in grain types. However, this diversity poses significant challenges in accurate identification, often resulting in misclassification and even intentional adulteration. These issues compromise product ...
M.R.I. Sheikh, Md. Anwar Hossain, Moazzem Hossain, Md. Masudul Islam et al.
This article introduces a primary dataset sourced from diverse marketplaces in Bangladesh, encompassing six distinct banana varieties predominantly consumed locally. The dataset comprises the following banana types: Shagor, Shabri, Champa, Anaji, Deshi, and Bichi. High-resolution images of bananas f...
Galib Muhammad Shahriar Himel, Md. Shourov Hasan, Umme Sadia Salsabil, Md. Masudul Islam
This study introduces a hybrid model for an advanced medical chatbot addressing crucial healthcare communication challenges. Leveraging a hybrid ML model, the chatbot aims to provide accurate and prompt responses to users' health-related queries. The proposed model will overcome limitations observed...