Hybridized convolutional neural networks and long short-term memory for improved Alzheimer's disease diagnosis from MRI scans
Brain-related diseases are more sensitive than other diseases due to several factors,
including the complexity of surgical procedures, high costs, and other challenges …
including the complexity of surgical procedures, high costs, and other challenges …
[HTML][HTML] Data-driven strategies for digital native market segmentation using clustering
The rapid growth of internet users and social networking sites presents significant
challenges for entrepreneurs and marketers. Understanding the evolving behavioral and …
challenges for entrepreneurs and marketers. Understanding the evolving behavioral and …
[HTML][HTML] A stacked ensemble approach to detect cyber attacks based on feature selection techniques
WF Urmi, MN Uddin, MA Uddin, MA Talukder… - International Journal of …, 2024 - Elsevier
The exponential growth of data and increased reliance on interconnected systems have
heightened the need for robust network security. Cyber-Attack Detection Systems (CADS) …
heightened the need for robust network security. Cyber-Attack Detection Systems (CADS) …
[HTML][HTML] Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN
MA Uddin, MA Talukder, MS Uzzaman… - International Journal of …, 2024 - Elsevier
Human activity recognition (HAR) plays a crucial role in assisting the elderly and individuals
with vascular dementia by providing support and monitoring for their daily activities. This …
with vascular dementia by providing support and monitoring for their daily activities. This …
usfAD Based Effective Unknown Attack Detection Focused IDS Framework
The rapid expansion of varied network systems, including the Internet of Things (IoT) and
Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ensuring …
Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ensuring …
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats
In today's digital age, our dependence on IoT (Internet of Things) and IIoT (Industrial IoT)
systems has grown immensely, which facilitates sensitive activities such as banking …
systems has grown immensely, which facilitates sensitive activities such as banking …
Advancements in Cardiovascular Disease Detection: Leveraging Data Mining and Machine Learning
MS Hossain, MA Talukder, MZ Mahmud - bioRxiv, 2024 - biorxiv.org
Cardiovascular disease (CVD) is a significant global health concern, requiring early
detection and accurate prediction for effective intervention. Machine learning (ML) offers a …
detection and accurate prediction for effective intervention. Machine learning (ML) offers a …
[PDF][PDF] International Journal of Cognitive Computing in Engineering
The rapid growth of internet users and social networking sites presents significant
challenges for entrepreneurs and marketers. Understanding the evolving behavioral and …
challenges for entrepreneurs and marketers. Understanding the evolving behavioral and …