Abstract: In this research, the incorporation of Deep Learning (DL) and Machine Learning (ML) into cybersecurity processes is investigated in great depth. The study also highlights the significant ...
Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...
Background: Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...
Predicting the transition from mild cognitive impairment (MCI) to Alzheimer’s disease (AD) has important clinical significance for dementia prevention and improving patient prognosis. Multimodal ...
May is Anti-Stigma Month in Bermuda — a time to reflect, reframe and reimagine how we support those who are often misunderstood. At the Bermuda Centre for Creative Learning, we believe this ...
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