Recent advancements in machine learning and signal processing domains have resulted in
an extensive surge of interest in Deep Neural Networks (DNNs) due to their unprecedented …

Artificial intelligence and its derivative technologies are not only playing a role in the fields of
medicine, economy, policing, transportation, and natural science computing today but also …

Recent advancements in signal processing domain have resulted in a surge of interest in
deep neural networks (DNNs) due to their unprecedented performance and high accuracy …

With the availability of large databases and recent improvements in deep learning
methodology, the performance of AI systems is reaching or even exceeding the human level …

Deep Learning is a state-of-the-art technique to make inference on extensive or complex
data. As a black box model due to their multilayer nonlinear structure, Deep Neural …

Deep neural networks achieve outstanding results in a large variety of tasks, often
outperforming human experts. However, a known limitation of current neural architectures is …

Abstract Explainable Artificial Intelligence refers to developing artificial intelligence models
and systems that can provide clear, understandable, and transparent explanations for their …

Abstract With Artificial Intelligence advancement, Deep neural networks (DNN) are
extensively used for decision-making in intelligent systems. However, improved …

Deep learning (DL) models have achieved impressive performance in various domains such
as medicine, finance, and autonomous vehicle systems with advances in computing power …

Convolutional neural networks (CNNs) have shown promising results and have
outperformed classical machine learning techniques in tasks such as image classification …