Selina Sharmin, Tanvir Ahammad, Md. Alamin Talukder, Partho Ghose
Breast cancer is a prevalent and life-threatening disease that requires effective detection and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine learning (ML) techniques have emerged as powerful tools in breast cancer detection, offering benefits such as improved accurac...
Partho Ghose, Muhaddid Alavi, Mehnaz Tabassum, Md. Ashraf Uddin et al.
COVID-19 has caused over 528 million infected cases and over 6.25 million deaths since its outbreak in 2019. The uncontrolled transmission of the SARS-CoV-2 virus has caused human suffering and the death of uncountable people. Despite the continuous effort by the researchers and laboratories, it has...
Md Sabbir Hossain, Dipayan Ghose, All Masror Partho, Minhaz Uddin Ahmed et al.
Now that Internet access is so widely used, our society has a greater number of networked technologies. Data travels between them because of their daily activities. Due to the server's weaknesses, hackers may get access to the system through difficult-to-identify network breaches. One of the most we...
Partho Ghose, Md. Ashraf Uddin, Uzzal Kumar Acharjee, Selina Sharmin
In recent years, coronavirus (Covid-19) has evolved into one of the world's leading life-threatening severe viral illnesses. A self-executing accord system might be a better option to stop Covid-19 from spreading due to its quick diagnostic option. Many researches have already investigated various d...
Partho Ghose, Khondokar Oliullah, Md. Kawsher Mahbub, Milon Biswas et al.
Md. Kawsher Mahbub, Md Zakir Hossain Zamil, Md. Abdul Mozid Miah, Partho Ghose et al.
Illness due to infectious diseases has been always a global threat. Millions of people die per year due to COVID-19, pneumonia, and Tuberculosis (TB) as all of them infect the lungs. For all cases, early screening/diagnosis can help provide opportunities for better care. To handle this, we develop a...
Partho Ghose, Selina Sharmin, Loveleen Gaur, Zhongming Zhao
Breast cancer is a common and highly heterogeneous cancer worldwide. Rapid detection and early diagnosis are essential in its treatment, but it is challenging due to mammogram’s uncertainty. Based on machine learning, operative clinical systems can be implemented to save patients’ lives. This study ...
Partho Ghose, Milon Biswas, Loveleen Gaur
Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin, Partho Ghose et al.
The integrity of democratic processes relies on secure and reliable election systems, yet achieving this reliability is challenging. This paper introduces the Post-Quantum Secured Multiparty Computed Hierarchical Authoritative Consensus Blockchain (PQMPCHAC-Bchain), a novel e-voting system designed ...
Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin, Partho Ghose et al.
Voting is a fundamental right of citizens in a democratic country and crucial for any thriving democracy. Reliable voting systems are essential for free and fair elections in the modern era. Biometric Electronic Voting Machines (EVMs) address many issues with paper-ballot systems, but their closed-s...
Partho Ghose, Md. Ashraf Uddin, Mohammad Manzurul Islam, Manowarul Islam et al.
Breast cancer has become a common disease that affects women all over the world. Early detection and diagnosis of the breast cancer is crucial for an effective medication and treatment. But, detection of breast cancer at the primary stage is challenging due to the ambiguity of the mammograms. Many r...
Partho Ghose, Md Naimur Rahman, Md Masbaul Alam Polash, Uzzal Kumar Acharjee
Reversible logic is an emerging technology that plays an important role in the fields of low power computation and can be applied in cryptography, communications, quantum computing etc. Reversible shift registers are one of the most important elements in fabricating reversible memory circuits. In th...
Md. Alamin Talukder, Md. Ashraf Uddin, Suman Roy, Partho Ghose et al.
The widespread dissemination of misinformation and the diverse public sentiment observed during the COVID-19 pandemic highlight the necessity for accurate sentiment analysis of social media discourse. This study proposes a hybrid deep learning (DL) model that integrates Bidirectional Encoder Represe...
Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin, Partho Ghose et al.
Partho Ghose, Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin et al.