Explore an in-depth breakdown of every offensive skill player on the Seattle Seahawks as we gear up for the 2025 fantasy football season.

Kaitlan Collins' career and style journey -- from her days as a student journalist to CNN -- has long been marked by ...

Microseismic (MS) technology is one of the effective methods for engineering fracture monitoring and has been widely used in coal mining. The accurate P-phase arrivals are critical for improving the ...

Perceptual image hashing has emerged as a crucial forensic tool within the Internet of Things (IoT) ecosystem. Traditional perceptual hashing algorithms predominantly rely on global image features to ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

We explore why deep convolutional neural networks (CNNs) with small two-dimensional kernels, primarily used for modeling spatial relations in images, are also effective in speech recognition. We ...

According to the World Report by WHO on Hearing published in March, 2021, nearly 2.5 billion people will be deaf or hard of hearing by the year 2050. In 2020, the uncorrected hearing loss in the world ...

Oceans are facing a multitude of climate-induced stresses including acidification, sea-level rise, warming waters, and ice ...

This research presents a comprehensive comparative analysis of various pre-trained backbone models and machine learning techniques for output layers in convolutional neural networks (CNNs) applied to ...

This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available ...

Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches. One of the ...

Deep learning has made some progress in identifying the driver drowsiness while driving a vehicle. In this study, we propose a two-dimensional CNN-based classification model to extract the information ...