The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …

Abstract Deep Neural Networks have received considerable attention in recent years. As the
complexity of network architecture increases in relation to the task complexity, it becomes …

Transformer-based Deep Neural Network architectures have gained tremendous interest
due to their effectiveness in various applications across Natural Language Processing (NLP) …

With the improvement of quality of life, people are more and more concerned about the
quality of sleep. The electroencephalogram (EEG)-based sleep stage classification is a …

Neural Architecture Search (NAS), a promising and fast-moving research field, aims to
automate the architectural design of Deep Neural Networks (DNNs) to achieve better …

The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of
Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware …

Neural Architecture Search (NAS) has received increasing attention because of its
exceptional merits in automating the design of Deep Neural Network (DNN) architectures …

Blood cancer, or leukemia, has a negative impact on the blood and/or bone marrow of
children and adults. Acute lymphocytic leukemia (ALL) and acute myeloid leukemia (AML) …

The field of automated machine learning (AutoML) has gained significant attention in recent
years due to its ability to automate the process of building and optimizing machine learning …

While deep neural networks are highly effective at solving complex tasks, large pre-trained
models are commonly employed even to solve consistently simpler downstream tasks …