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

A novel MRI-based deep learning–radiomics framework for evaluating cerebrospinal fluid signal in central nervous system infection

Introduction: Accurate and timely diagnosis of central nervous system infections (CNSIs) is critical, yet current gold-standard techniques like lumbar puncture (LP) remain invasive and prone to delay.
IEEE

Blind Beamforming via Deep Learning-Based Signal Classification and Transfer Learning

Abstract: We propose a new cognitive technique for blind adaptive beamforming which uses a pre-trained deep learningbased signal classifier to protect a signal of interest (SOI) from interference. The ...
Hosted on 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 ...
Scientific Research Publishing

Martinez, C., Nguyen, L. and Patel, A. (2023) RF-Vit-Gan: Unsupervised RF Signal Synthesis Using Vision Transformers. NeurIPS Workshop on Deep Learning for Physical Sciences ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...
The New York Times

Here’s What Determines Whether Information Is Classified

The often bureaucratic nature of classified information is complicated, with different levels of secrecy and different potential punishments for its disclosure. By Devlin Barrett Reporting from ...
IEEE

A Comprehensive Deep Learning Framework for Microwave Stroke Classification: Combining Signal Analysis, Clinical Variables, and Antenna System Measurements

Abstract: Microwave signal-based binary classification for detecting the presence of stroke presents a promising avenue for cost-effective and portable diagnosis. However, implementing this technology ...
Frontiers

Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering ...

This Research Topic gathers different contributions highlighting novel types of bio-inspired mathematical models with neuroimaging and physio-signal data, mainly applied in medical and industrial ...