Tech Xplore

Short training helps people spot AI faces in the battle against deepfake fraud

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
IEEE

An Analytic Policy Gradient-Based Deep Reinforcement Learning Motion Cueing Algorithm for Driving Simulators

Abstract: The proposed motion cueing algorithm (MCA), based on a reinforcement learning algorithm using gradient information to directly update the control policy, introduces three significant ...
Medical Xpress

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 algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
IEEE

Improved Early Fetal Health Prediction Model using Multi-layer Perceptron: Deep Learning Approach

In the modern era, fetal health risks has evolved as a critical public health concern, indicating the increase of complications in pregnancy, where fetal mortality is the primary risk concern majorly ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Scientific Research Publishing

Jamshidi, B., Ghorbani, N. and Rostamy-Malkhalifeh, M. (2025) Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
Scientific Research Publishing

Bikku, T. (2020) Multi-Layered Deep Learning Perceptron Approach for Health Risk Prediction. Journal of Big Data, 7, Article No. 50.

ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...
Frontiers

Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning algorithm under uncertain information

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...
ascopubs.org

Deep learning algorithm for accurate diagnosis of oral cancer and precancers.

Assessing mortality trends among patients with lip and oral cavity cancer due to tobacco consumption: A systematic analysis of the Global Burden of Disease-2021.