Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
CNN

FEMA planning exercise envisioned deep workforce cuts, adding to uncertainty around agency’s future

Federal Emergency Management Agency leaders were told to prepare for a possible gutting of their workforce — by as much as half — in the coming months, according to an internal email sent to top FEMA ...
IEEE

Effectiveness of different neural networks on intelligent detection of transmission line external damages

Abstract: In power system, identifying and eliminating the risks of overhead transmission line external damages plays a crucial role in ensuring safe operation of the grid. Image recognition ...
Frontiers

Evaluation of deep learning tools in medical diagnosis and treatment of cancer: research analysis of clinical and randomized clinical trials

Department of Biotechnology, School of Arts and Sciences, American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates Artificial Intelligence and machine learning tools have brought a ...
IEEE

A Joint Optimization Guided Deep Learning Model based on CNN and Channel-Wise Transformers for Robust Sleep Stage Classification from EEG Signal

Abstract: Sleep stage classification is a critical task in sleep research, with significant implications for diagnosing and treating sleep disorders. Traditional methods rely on manual scoring of ...
IEEE

Fault Diagnosis of Photovoltaic Power Stations Based on the CNN-LSTM-BP Algorithm

Abstract: Driven by the strategic goals of carbon peak and carbon neutrality, photovoltaic (PV) power generation has developed rapidly. However, PV power stations are prone to failures such as ...
IEEE

A photoplethysmogram-based 1D-CNN algorithm for automated atrial fibrillation detection

Abstract: Atrial fibrillation (AF) is an irregular heartbeat that originates in the upper chambers of the heart (atria). This paper presents a method for the detection of AF events from ...