The rapid advancement of deep learning has transformed medical imaging and offers major
increases in diagnostic accuracy and efficiency. The application of a proposed …

This study examines the application of Convolutional Neural Network (CNN) Autoencoders
in identifying abnormalities in electrocardiogram (ECG) data using the PTB Diagnostic ECG …

This chapter explores the intersection of sustainable finance and neuromarketing to address
environmental challenges. It begins by outlining key concepts and applications of …

Deep Convolutional Neural Networks (CNNs) and Transfer Learning are examined in this
research work as they pertain to the classification of Pandang cuisine. Using artificial …

The deep learning techniques transformed the medical imaging, therefore enhancing the
classification of eye disease detection. This work uses the fine-tuned ResNet-18 model to …

Peer to peer networking is always with us since the advent of technologies. But, is it safe? is
it safe to share sensitive information? These are the biggest question we have to face. so, as …