Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Riasat Khan"'
Publikováno v:
IEEE Access, Vol 12, Pp 112355-112367 (2024)
Dengue fever is a tropical mosquito-transmitted disease spread through the Aedes mosquito, where the human body works as the primary host. Each year, densely populated countries such as Bangladesh, Thailand, and India, particularly in the Southeast A
Externí odkaz:
https://doaj.org/article/a741a10aa4464b8e9dc60e69d14edf03
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 269-278 (2024)
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 learni
Externí odkaz:
https://doaj.org/article/2118c3ef107049c2a056306ebd36a1f4
Real-Time Fire Detection: Integrating Lightweight Deep Learning Models on Drones with Edge Computing
Autor:
Md Fahim Shahoriar Titu, Mahir Afser Pavel, Goh Kah Ong Michael, Hisham Babar, Umama Aman, Riasat Khan
Publikováno v:
Drones, Vol 8, Iss 9, p 483 (2024)
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.
Externí odkaz:
https://doaj.org/article/9e309180dff9486f95ffbdee0b404c40
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 4, Iss , Pp 36-46 (2023)
The coronavirus is considered this century's most disruptive catastrophe and global concern. This disease has prompted extreme social, psychological and economic impacts affecting millions of people around the globe. COVID-19 is transmitted from one
Externí odkaz:
https://doaj.org/article/5251426a956c46e7ad64d7018740fe4e
Publikováno v:
Healthcare Technology Letters, Vol 10, Iss 1-2, Pp 1-10 (2023)
Abstract 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, famil
Externí odkaz:
https://doaj.org/article/b628b73cc696461aaa2ed15f39352102
Publikováno v:
Alexandria Engineering Journal, Vol 62, Iss , Pp 391-402 (2023)
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 distr
Externí odkaz:
https://doaj.org/article/4317647ebcb845a5a90e6ca6de0c5024
Publikováno v:
Array, Vol 18, Iss , Pp 100291- (2023)
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
Externí odkaz:
https://doaj.org/article/c28565a1b4054f5c9472937f5b206d68
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16924- (2023)
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 t
Externí odkaz:
https://doaj.org/article/b11aa726ae6343a7adf38f17ba95a9b6
Publikováno v:
Sci, Vol 6, Iss 1, p 5 (2024)
The environmental physiognomy of an area can significantly diminish its aesthetic appeal, rendering it susceptible to visual pollution, the unbeaten scourge of modern urbanization. In this study, we propose using a deep learning network and a robotic
Externí odkaz:
https://doaj.org/article/8a84d7ff137f4f6da1b439d924ae2b72
Autor:
Sumaya Siddique, Shafinul Islam, Emon Emtiyaz Neon, Tajnoor Sabbir, Intisar Tahmid Naheen, Riasat Khan
Publikováno v:
Intelligent Systems with Applications, Vol 18, Iss , Pp 200224- (2023)
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 dy
Externí odkaz:
https://doaj.org/article/e7b69c065c8a4f578472014e0a59b1f5