Mohammad Ashfak Habib, Md. Abdus Salam, Zia Nadir, Hemen Goswami
There are many benefits to simplifying Boolean functions before they are implemented in hardware. A reduced number of gates decreases considerably the cost of the hardware, reduces the heat generated by the chip and, most importantly, increases the speed. But no method is effective for the simplific...
Maliha Rashida, Mohammad Ashfak Habib
Abstract Ocular artifact, namely eye-blink artifact, is an unavoidable and one of the most destructive noises in EEG signals. Many solutions were proposed regarding the detection of the eye-blink artifact. Different subsets of EEG features and Machine Learning (ML) classifiers were used for this pur...
Anika Bushra, Mohammad Ashfak Habib, Md. Jahidul Hasan Jahid
Lung diseases has multiplied in recent years and now kills millions of people every year. An effective, trustworthy, and reasonably priced method of diagnosing lung diseases has become crucial to addressing the epidemic. In addition to the less accurate traditional technique of identifying lung illn...
Shahid Md. Asif Iqbal, Asaduzzaman Asaduzzaman, Mohammad Ashfak Habib
Karnis Fatema, Mohammad Ashfak Habib
I. Respiratory sounds contain critical diagnostic information for the early identification of severe lung diseases. The COVID-19 pandemic has amplified the demand for contactless healthcare solutions enabled by electronic stethoscopes. Consequently, advanced deep-learning models have been developed ...
Tanha Kabir Koly, Mohammad Ashfak Habib
In recent years, Melanoma-Skin Cancer has emerged as a major health issue worldwide. Early detection plays a vital role in improving the prognosis of the disease. Leveraging computer vision in both the industrial and medical sectors presents promising opportunities. Our study focuses on introducing ...
Md. Minhazul Kabir, Kawsar Ahmed, Mohammad Ashfak Habib, Mohammed Moshiul Hoque
Distinguishing fact from opinion in text is a nuanced but essential task, particularly in news articles where subjectivity can influence interpretation and reception.Identifying whether content is subjective or objective is critical for sentiment analysis, media bias detection, and content moderatio...
Omar Farook, Mohammad Ashfak Habib
Autonomous vehicles in particular depends on visual data to detect and classify objects. However, in challenging weather conditions, such as rainy weather, the performance of object detection techniques may be hampered. In this paper, we introduced a meticulous approach to make the objects more visi...
Maliha Rashida, Mohammad Ashfak Habib
Abstract Ocular artifact, namely eye-blink artifact, is an inevitable and one of the most destructive noises of EEG signals. Many solutions of detecting the eye-blink artifact were proposed. Different subsets of EEG features and Machine Learning (ML) classifiers were used for this purpose. But no co...
Abir Ebna Harun, Mohammad Ashfak Habib
Urinalysis is a common medical test that can be costly and inconvenient in medical facilities. The use of point-of-care(POC) test devices, smartphones, manifolds, and other additional tools can make urinalysis easier in a home-based environment. In this paper, we are proposing a new system that can ...
Md. Billal Hossain, Mohammad Shamsul Arefin, Mohammad Ashfak Habib
Mohammad Ashfak Habib
Parallel self-timed adder (PASTA) is a newly introduced asynchronous adder. It shows appreciable average-case performance without any special speedup circuitry or look-ahead schema, but its worst-case performance is almost similar to that of ripple carry adder. It is therefore an important research ...
Mohammad Ashfak Habib, Fatimah Ibrahim, Mas Sahidayana Mohktar, Shahrul Bahyah Kamaruzzaman et al.