[HTML][HTML] Amalgamation of Blockchain with resource-constrained IoT devices for Healthcare applications–State of Art, Challenges and Future Directions

P Hegde, PKR Maddikunta - … Journal of Cognitive Computing in Engineering, 2023 - Elsevier
Healthcare is an emerging sector with the integration of emerging technologies aiming to
improve Quality of Life of an individual through various medical services. Most of the …

[HTML][HTML] A risk assessment and prediction framework for diabetes mellitus using machine learning algorithms

SS Bhat, M Banu, GA Ansari, V Selvam - Healthcare Analytics, 2023 - Elsevier
Diabetes disease seriously threatens people's health and is becoming more common
nowadays. Diabetes Mellitus (DM) is a condition caused by high blood sugar levels …

A dependable hybrid machine learning model for network intrusion detection

MA Talukder, KF Hasan, MM Islam, MA Uddin… - Journal of Information …, 2023 - Elsevier
Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …

Diabetes prediction using machine learning and explainable AI techniques

I Tasin, TU Nabil, S Islam… - Healthcare technology …, 2023 - Wiley Online Library
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 …

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

MA Talukder, MM Islam, MA Uddin, A Akhter… - Expert Systems with …, 2022 - Elsevier
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …

[HTML][HTML] DeepCrop: Deep learning-based crop disease prediction with web application

MM Islam, MAA Adil, MA Talukder… - Journal of Agriculture …, 2023 - Elsevier
Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …

A hybrid dependable deep feature extraction and ensemble-based machine learning approach for breast cancer detection

S Sharmin, T Ahammad, MA Talukder, P Ghose - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] A robust hybrid machine learning model for Bengali cyber bullying detection in social media

A Akhter, UK Acharjee, MA Talukder, MM Islam… - Natural Language …, 2023 - Elsevier
Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …

[HTML][HTML] Automatic COVID-19 prediction using explainable machine learning techniques

S Solayman, SA Aumi, CS Mery, M Mubassir… - International Journal of …, 2023 - Elsevier
The coronavirus is considered this century's most disruptive catastrophe and global concern.
This disease has prompted extreme social, psychological and economic impacts affecting …

MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs

MA Talukder, S Sharmin, MA Uddin, MM Islam… - International Journal of …, 2024 - Springer
In the domain of cyber-physical systems, wireless sensor networks (WSNs) play a pivotal
role as infrastructures, encompassing both stationary and mobile sensors. These sensors …