Results for “"Rashik Rahman"”

Khan Md. Hasib, Farhana Rahman, Rashik Hasnat, Md. Golam Rabiul Alam

An essential component of the educational activity is rigorous examination and assessment of students' results, with a potential substantial influence on student growth. This paper offers a predictional model for student's success in secondary education using five classification algorithms: Logistic...

Abdul Fattah Rakib, Rashik Rahman, Alim Al Razi, A S M Touhidul Hasan

Ayman Hasib, Jannatul Ferdous Eva, Saqib Sizan Khan, Mst. Nipa Khatun et al.

Language is a method by which individuals express their thoughts. Each language has its own alphabet and numbers. Oral and written communication are both effective means of human interaction. However, each language has a sign language equivalent. Hearing-impaired and/or nonverbal individuals communi...

Nasima Begum, Rashik Rahman, Nusrat Jahan, Saqib Sizan Khan et al.

Sign language is the most commonly used form of communication for persons with disabilities who have hearing or speech difficulties. However, persons without hearing impairment cannot understand these signs in many cases. As a consequence, persons with disabilities experience difficulties while expr...

Nazrul Islam, Mohitul Ameen Ahmed Mustafi, Md Nafizur Rahman, Nowshin Nower et al.

Bangladesh is a densely populated country of the world. More than 170 million people live in this country. Mobile banking is a very important and new phenomenon in Bangladesh. In recent years, mobile banking has got highest importance by the customers in the country as it provides immense scope for ...

Md. Waliul Hasan, Shahria Shanto, Jannatun Nayeema, Rashik Rahman et al.

Early fire detection is the key to saving lives and limiting property damage. Advanced technology can detect fires in high-risk zones with minimal human presence before they escalate beyond control. This study focuses on providing a more advanced model structure based on the YOLOv8 architecture to e...

Tarek Uddin Mohammed, Md. Nafiur Rahman, Rashik Ishraq, Toufik Hassan

Mashrur Rashik, Md. Musfiqur Rahman, Md. Mosaddek Khan, Md. Mamun-Or-Rashid et al.

Rashik Rahman, Abdul Fattah Rakib, Mariam Rahman, Tanjina Helaly et al.

Automated License Plate Detection and Recognition (ALPDR) system is a technology that automatically detects and recognizes the license plate from a video or an image. An ALPDR system is usually a 3 steps process; license plate detection, segmentation of characters, and finally recognition. For an ef...

Md Amiruzzaman, Rashik Rahman, Md. Rajibul Islam, Rizal Mohd Nor

DBSCAN is a well-known clustering algorithm that is often used to find associations and structures in large spatial data. Due to its popularity, built-in functions for DBSCAN have been implemented on top of many different programming languages. Researchers and practitioners (i.e., data scientists) h...

Rashik Rahman, Tanmoy Sarkar Pias, Tanjina Helaly

A License Plate Recognition (LPR) is a technique to automatically identify and recognize the license plate of a vehicle. In today's world where we want to do everything in no time, automated LPR opened a new door in Intelligent Traffic System. With the help of ALPR, we can implement many smart syste...

Nasima Begum, Saqib Sizan Khan, Rashik Rahman, Ashraful Haque et al.

Sign language is developed to bridge the com-munication gap between individuals with and without hearing impairment or speech difficulties. Individuals with hearing and speech impairment typically rely on hand signs as a means of expressing themselves. However, people, in general, may not have suffi...

Noor Mairukh Khan Arnob, Nakiba Nuren Rahman, Saiyara Mahmud, Md Nahiyan Uddin et al.

The synthesis of facial images from textual descriptions is a relatively difficult subfield of text-to-image synthesis. It is applicable in various domains like Forensic Science, Game Development, Animation, Digital Marketing, and Metaverse. However, no work was found that generates facial images fr...

Shah Murtaza Rashid Al Masud, Homaira Adiba, Tamzid Hossain, Aloke Kumar Saha et al.

Today’s data-driven environments require innovative tools and methods to analyze and present data. The growth of data across many domains and remarkable technological advances have necessitated a shift from 2D data representations. The rapid growth in dataset scale, variety, and speed has revealed t...

Nazrul Islam, Mohitul Ameen Ahmed Mustafi, Md Nafizur Rahman, Nowshin Nower et al.

Simran Gupta, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Sidratul Montaha et al.

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition that presents significant diagnostic challenges due to its varied symptoms and nature. This study aims to improve ASD classification using advanced deep learning techniques applied to neuroimaging data. We developed an automate...

Md. Siddiqure Rahman Tusher, Nakiba Nuren Rahman, Shabnaz Chowdhury, Anika Tabassum et al.

Automated License Plate Detection and Recognition (ALPDR) is a well-studied area of computer vision and a crucial activity in a variety of applications, including surveillance, law enforcement, and traffic management. Such a system plays a crucial role in the investigation of vehicle-related offensi...

Tanmoy Mazumder, Fariha Nusrat, Abu Bakar Siddique Mahi, Jolekha Begum Brishty et al.

Developing cities face a critical challenge in ensuring equitable access to urban information, as millions of establishments remain invisible on digital platforms due to the labor-intensive and inefficient process of manual labeling and categorization. Accurate signboard detection, labeling, and cat...

Rashik Rahman, Hasan Murad, Nakiba Nuren Rahman, Aloke Kumar Saha et al.

Automatic caption generation from images has be-come an active research topic in the field of Computer Vision (CV) and Natural Language Processing (NLP). Machine generated image caption plays a vital role for the visually impaired people by converting the caption to speech to have a better understan...