Isfafuzzaman Tasin, Tansin Ullah Nabil, Sanjida Islam, Riasat Khan
Globally, diabetes affects 537 million people, making it the deadliest and the most common non-communicable disease. Many factors can cause a person to get affected by diabetes, like excessive body weight, abnormal cholesterol level, family history, physical inactivity, bad food habit etc. Increased...
Mir Tanvir Islam, Shafin T. Mashfu, Abrar Faisal, Sadman Chowdhury Siam et al.
Glaucoma is an irreversible neurodegenerative disease, where intraocular hypertension is developed due to the increased aqueous humor and blockage of the drainage system between the iris and cornea. As a result, the optic nerve head, which sends visual stimulus from our eyes to the brain, is damaged...
Raihan Bin Islam, Samiha Akhter, Faria Iqbal, Md. Hasnaeen Rizvi Rahman et al.
Object detection, one of the most significant contributions of computer vision and machine learning, plays an immense role in identifying and locating objects in an image or a video. We recognize distinct objects and precisely get their information through object detection, such as their size, shape...
Nur-E-Aznin Mimma, Sumon Ahmed, Tahsin Rahman, Riasat Khan
Computer vision and image processing techniques are considered efficient tools for classifying various types of fruits and vegetables. In this paper, automated fruit classification and detection systems have been developed using deep learning algorithms. In this work, we used two datasets of colored...
Sumaya Siddique, Shafinul Islam, Emon Emtiyaz Neon, Tajnoor Sabbir et al.
Sign language, often referred to as silent conversation, serves as a visual gesture-based primary communication medium for hearing-impaired individuals. People unable to speak or hear communicate with themselves and general persons with static and dynamic sign languages. To ensure that people who ar...
Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum et al.
In the rapidly advancing era of educational technology, customized learning materials have the potential to enhance individuals’ learning capacities. This research endeavors to devise an effective method for detecting a learner’s preferred learning style and subsequently adapting the learning conten...
Md. Abdullah-Al-Noman, Anika Nawer Eva, Tabassum Binth Yeahyea, Riasat Khan
Various aspects of the human workplace have been influenced by robotics due to its precision and accessibility. Nowadays, industrial activities have become more automated, increasing efficiency while reducing the production time, human labor, and risks involved. With time, electronic technology has ...
Md Fahim Shahoriar Titu, Mahir Afser Pavel, Michael Kah Ong Goh, Hisham Babar et al.
Fire accidents are life-threatening catastrophes leading to losses of life, financial damage, climate change, and ecological destruction. Promptly and efficiently detecting and extinguishing fires is essential to reduce the loss of lives and damage. This study uses drone, edge computing, and artific...
Akib Zaman, Mohammad Shahjahan Majib, Shoeb Ahmed Tanjim, Shah Md. Ahasan Siddique et al.
During the COVID-19 pandemic, surface disinfection using prevailing chemical disinfection methods had several limitations. Due to cost-inefficiency and the inability to disinfect shaded places, static UVC lamps cannot address these limitations properly. Moreover, the average market price of the prev...
Ashiqur Rahman, Mamun Bin Harun Hriday, Riasat Khan
The fatality of road accidents in this era is alarming. According to WHO, approximately 1.30 million people die each year in road accidents. Road accidents result in significant socioeconomic losses for people, their families, and the country. The integration of modern technologies into automobiles ...
Rahat Yasir, Riasat Khan
Sign language detection and recognition (SLDR) using computer vision is a very challenging task. In respect to Bangladesh, sign language users are around 2.4 million [16]. In this paper, we try to focus for communicating with those users by computer vision. In this respect, an efficient method is pr...
Md Naimul Islam Suvon, Riasat Khan, Mehebuba Ferdous
Automatic number plate identification in today's world plays a vital role in vehicle tracking and organization. Our proposed model of automation in the detection and recognizing vehicles through the use of number plate computerization is expected to create a new scope of evolution for large cities. ...
Najia Hasan Tasnim, Sadia Afrin, Barna Biswas, Arifa Akter Anye et al.
Urban pollution is a massive global problem, especially in industrialized and developing nations. Visual pollution is an issue concerned with the external noticeable appearance of the modern urban areas causing human health disorders, emotional distress, driving distraction, environmental hazards, e...
Rokeya Siddiqua, Nusrat Sharmin Islam, Jarba Farnaz Bolaka, Riasat Khan et al.
Depression is a common psychiatric disorder that is becoming more prevalent in developing countries like Bangladesh. Depression has been found to be prevalent among youths and influences a person’s lifestyle and thought process. Unfortunately, due to the public and social stigma attached to this dis...
Md Musfiq Us Saleheen, Md Shafiqul Islam, Rieaj Uddin Fahad, Md J. B. Belal et al.
A farmer manually collects data from the farming fields in a traditional agriculture system. Sometimes these data may not be accurate, and the collection process is tedious and human labor-consuming. Also, during irrigation, water is tremendously wasted. In this paper, an internet of things- based s...