Quality inspection and defect detection remain critical challenges across diverse industrial
applications. Driven by advancements in Deep Learning, Convolutional Neural Networks …

Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …

Following recent advancements in deep learning and artificial intelligence, spoken
language identification applications are playing an increasingly significant role in our day-to …

Organization is starting to incorporate AI capabilities into their hiring procedures and further
enhances the likelihood of applications. These favorable associations between views …

With the rapid development of the Internet, e-learning is becoming more and more popular
as a convenient and flexible way of learning. This study aims to explore the application of …

Cancer deep learning climate, benchmarks, and work processes will consolidate the force of
exascale registering with brain network‐based AI to address a scope of inexactly associated …

Artificial intelligence hardware accelerator is an emerging research for several applications
and domains. The hardware accelerator's direction is to provide high computational speed …

Multimedia forensics is an essential field of research that deals with the authenticity and
integrity of multimedia content in the digital world. With the increasing use of digital platforms …

Depression, a common mental disorder, significantly influences individuals and imposes
considerable societal impacts. The complexity and heterogeneity of the disorder necessitate …

Subject matter: Speech emotion recognition (SER) is an ongoing interesting research topic.
Its purpose is to establish interactions between humans and computers through speech and …