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 ...
IEEE

Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification

Abstract: This study presents a novel perspective on multimodal deep learning for biomedical signal classification, systematically analyzing the impact of complementary feature domains on model ...
GitHub

deep-learning-tutorial

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Mining Weekly

TOMRA Mining launches CONTAIN™: Deep learning classification for inclusion-type ore sorting

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...
Frontiers

Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.
Óstáilte ar MSN

DenseNet Architecture Explained | Deep Learning Tutorial for Beginners

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...
The New York Times

Head of S.E.C.’s Crypto Task Force Says ‘Tokenized’ Stocks Are Securities

Hester M. Peirce said in a statement Wednesday that digital versions of stocks are still subject to federal securities laws. By Matthew Goldstein The head of the Securities and Exchange Commission’s ...
Frontiers

Accurate classification of benign and malignant breast tumors in ultrasound imaging with an enhanced deep learning model

Background: Breast cancer is the most common malignant tumor in women worldwide, and early detection is crucial to improving patient prognosis. However, traditional ultrasound examinations rely ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
IEEE

Application of Deep Learning in ECG Signal Classification: Comparison of CNN, LSTM, and Hybrid Approaches

Abstract: In this paper, the application of deep learning for ECG signal classification is discussed. Three different approaches, namely Convolutional Neural Network (CNN), Long Short-Term Memory ...