SecurityWeek

Data Exposure Vulnerability Found in Deep Learning Tool Keras

A vulnerability in the open source deep learning tool Keras could allow attackers to load arbitrary local files or conduct ...
Medscape

AI-Based Deep Learning Algorithm Boosts Paediatric Elbow Fracture Detection in Emergency Department

An artificial intelligence-based deep learning algorithm significantly improves the sensitivity of emergency clinicians in ...
Live Science

Satellites detected strange gravity signal coming from deep within Earth almost 20 years ago, study reveals

The strange anomaly, and the jerk, were caused by a previously unknown geological process, the researchers suspect. Their findings, published Aug. 28 in the journal Geophysical Research Letters, ...
Scientific Research Publishing

Pang, G., Shen, C., Cao, L. and Hengel, A.V.D. (2022) Deep Learning for Anomaly Detection: A Review. ACM Computing Surveys, 54, 1-38.

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Frontiers

A high-precision edge detection technique for magnetic anomaly signals based on a self-attention mechanism

Magnetic data boundary detection is a key technology in potential field data processing, providing an effective basis for the division of geological units and fault structures. It holds significant ...
IEEE

Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey

Abstract: The rapid expansion of data from diverse sources has made anomaly detection (AD) increasingly essential for identifying unexpected observations that may signal system failures, security ...
Scientific Research Publishing

Liu, Y., Ma, X., Bailey, J. and Lu, F. (2021) Anomaly Detection in IoT Using Deep Learning. IEEE Internet of Things Journal, 8, 9547-9560.

ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
GitHub

Uncertainty Quantification for Deep Learning in Sleep Apnea Detection

This repository contains the Python code for the Master's Thesis: "Uncertainty Quantification for Deep Learning in Sleep Apnea Detection: A Comparative Evaluation of Monte Carlo Dropout and Deep ...