Md. Abdur Rahman, Md Ariful Haque, Md. Nurul Ahad Tawhid, Md. Saeed Siddik
Non-Functional Requirements (NFR), a set of quality attributes, required for software architectural design. Which are usually scattered in SRS and must be extracted for quality software development to meet user expectations. Researchers show that functional and non-functional requirements are mixed ...
S.M. Sofiqul Islam, Emon Kumar Dey, Md. Nurul Ahad Tawhid, B M Mainul Hossain
Identifying garments texture design automatically for recommending the fashion trends is important nowadays because of the rapid growth of online shopping.By learning the properties of images efficiently, a machine can give better accuracy of classification.Several Hand-Engineered feature coding exi...
Emon Kumar Dey, Md. Nurul Ahad Tawhid, Mohammad Shoyaib
Automatic identification of garment design class might play an important role in the garments and fashion industry. To achieve this, essential initial works are found in the literature. For example, construction of a garment database, automatic segmentation of garments from real life images, categor...
Ahmad Tahmid, Md. Nurul Ahad Tawhid, Sumon Ahmed, Kazi Sakib
To maintain software and enhance its code quality, code smell, i.e., undesired design flaws need to be detected. However, as the system size increases, manual smell detection becomes difficult. In this paper, a static code analysis framework, named code sniffer, is proposed to detect code smells wit...
Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Md. Nurul Ahad Tawhid et al.
Random forest is one of the most popular supervised learning methods which is a collection of multiple decision trees. It is computationally fast, easy to use and gives reasonable performances over diversified applications. In a random forest, outcomes from multiple trees are aggregated to make the ...
Kaeser M. Sabrin, Tao Zhang, Song Chen, Md. Nurul Ahad Tawhid et al.
Siuly Siuly, Md. Nurul Ahad Tawhid, Yan Li, U. Rajendra Acharya et al.
Abstract Dementia is a growing global health concern that significantly impacts the quality of life for millions of individuals and imposes substantial burdens on healthcare systems. Early detection and accurate diagnosis are crucial for effective dementia management. Electroencephalography (EEG) ha...
Md Nasir Uddin Laskar, Md. Nurul Ahad Tawhid, TaeChoong Chung
Path planning and navigation in unknown environment is one of the most challenging tasks for autonomous mobile robots. Decomposition of the state space is vital for avoiding obstacles and generating an efficient trajectory. For the purpose of localization and building an efficient map in an unknown ...
S.M. Sofiqul Islam, Emon Kumar Dey, Md. Nurul Ahad Tawhid, B M Mainul Hossain
Automatic garments design class identification for recommending the fashion trends is important nowadays because of the rapid growth of online shopping. By learning the properties of images efficiently, a machine can give better accuracy of classification. Several methods, based on Hand-Engineered f...
Kazi Sakib, Sumon Ahmed, Md. Nurul Ahad Tawhid, Ahmad Tahmid
To maintain software and enhance its code quality, code smell, i.e., undesired design flaws need to be detected. However, as the system size increases, manual smell detection becomes difficult. In this paper, a static code analysis framework, named code sniffer, is proposed to detect code smells wit...
H. M. Sazzad Quadir, Sakib Al Hasan, Md. Nurul Ahad Tawhid
Conventional commits provide a structured format for writing commit messages, which improves readability, software maintenance, and enables automation tools such as changelog generators and semantic versioning systems. Existing approaches to conventional commit classification typically rely on ML/DL...
Md. Milon Hossain, Md. Nurul Ahad Tawhid
Schizophrenia (ScZ) is a growing global health concern that affects millions of people and puts severe pressure on healthcare systems. Early detection and accurate diagnosis are crucial for adequate management. Electroencephalography (EEG) has evolved into a promising non-invasive tool for detecting...
Md Amzad Hossain, Md. Nurul Ahad Tawhid
Schizophrenia (ScZ) is a growing global health concern that affects millions of people and puts severe pressure on healthcare systems. Early detection and accurate diagnosis are crucial for adequate management. Electroencephalography (EEG) has evolved into a promising non-invasive tool for detecting...
Fazle Rabbi, Nishat Tasnim Niloy, Nadia Nahar, Md. Nurul Ahad Tawhid
Software visualization helps to comprehend the system by providing a vivid illustration. The developers, as well as the analysts, can have a glance over the total system to understand the basic changes over time from a high-level point of view through this technique. In recent years, many tools are ...