Morning Overview on MSN

Brain-inspired AI pruning boosts learning while shrinking model size

A human infant is born with roughly twice as many synapses as it will eventually need. Over the first few years of life, the ...
AZoRobotics

Detecting IoT Malware in EV Chargers with Deep Learning

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
Devdiscourse

From crisis to control: AI flags cattle diseases before outbreaks explode

The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...
IEEE

A High-Performance Deep-Learning-Based Ground Penetrating Radar Classification Approach With Special Focus on Multi-Class Robustness

Abstract: Urbanization is increasing the presence of various utilities in the ground, while at the same time underground cavities and sinkholes pose a major threat to the civilization and structural ...
IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
Frontiers

Deep learning-based classification of multiple fundus diseases using ultra-widefield images

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...