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Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
(Brac University, 2023-01)
Despite various preventative measures and therapies, the COVID-19 pandemic has
exposed a number of weaknesses and vulnerabilities in global health systems, particularly in low and middle-income countries that may have ...
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)
One of the world’s most pressing issues right now is the lack of a competent waste
management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ...
Eve-teasing detection from video footage using computer vision and artificial intelligence
(Brac University, 2023-01)
We present computer vision approaches combined with machine learning techniques
to detect eve-teasing from any video material, which may be used in any situa tion. Eve teasing is a colloquial term for public sexual ...
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
(Brac University, 2023-01)
In the innovative era, the problem of recognizing undesirable objects and individuals
on conveyor belts is addressed by various architectural or algorithmic approaches.
Conveyor belts are those by which things go in a ...
Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
(Brac University, 2023-09)
Skin Cancer is a cancer form that has become very prevalent in recent times and, if
left untreated, has the potential to cause premature death. That is why early diagnosis
and treatment are important to cure this disease. ...