Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
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 ...
LinkedIn

Neural Networks from First Principles - The Perceptron Learning Algorithm

The perceptron was introduced as one of the earliest models capable of learning from data. Unlike a fixed neuron model, the perceptron adjusts its weights automatically based on training examples. 1.
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 ...
LinkedIn

The Multi-Layer Perceptron: A Foundational Architecture in Deep Learning.

Abstract: The Multi-Layer Perceptron (MLP) stands as one of the most fundamental and enduring artificial neural network architectures. Despite the advent of more specialized networks like ...
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) ...
Nature

Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography

Fragility fractures, particularly hip fractures, are serious injuries that can significantly increase mortality rates 1. Due to symptomatic gait imbalance and a high incidence of falls, older adult ...
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.
Nature

Digital image enhancement using deep learning algorithm in 3D heads-up vitreoretinal surgery

This study aims to predict the optimal imaging parameters using a deep learning algorithm in 3D heads-up vitreoretinal surgery and assess its effectiveness on improving the vitreoretinal surface ...