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

3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions

Abstract: Data representation learning is one of the most important problems in machine learning. Unsupervised representation learning becomes meritorious as it has no necessity of label information ...
GitHub

InHARD - Industrial Human Action Recognition Dataset

We introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset” (InHARD) from a real-world setting for industrial human action recognition with over 2 million frames, collected from ...
GitHub

A Standardized Benchmark for Skeleton-Based Rehabilitation Assessment Using Deep Learning

Automated assessment of human motion plays a vital role in rehabilitation, enabling objective evaluation of patient performance and progress. Unlike general human activity recognition, rehabilitation ...
Journal of Medical Internet Research

Facial Emotion Recognition of 16 Distinct Emotions From Smartphone Videos: Comparative Study of Machine Learning and Human Performance

Objective: This study aimed to develop deep learning–based automatic facial emotion recognition (FER) models for binary (positive vs negative) and multiclass emotion classification tasks, assess the ...
ringcentral

Voice recognition AI: What it is, how it works, and the ways it could help your business

These days, people can have natural conversations with their phones as if they were chatting with a friend. That’s thanks to the rapid evolution of voice recognition AI (artificial intelligence) ...
Wilson Center

Positive Use Cases of “Deepfakes”

As artificial intelligence (AI) models are increasingly capable of producing more life-like content, there has been an understandable hesitancy regarding “deepfakes” and their potential negative ...
The Conversation

AI is cracking a hard problem – giving computers a sense of smell

Over 100 years ago, Alexander Graham Bell asked the readers of National Geographic to do something bold and fresh – “to found a new science.” He pointed out that sciences based on the measurements of ...
C&EN

Image Recognition of Mine Water Inrush Based on Bilinear Convolutional Neural Network with Few-Shot Learning

Inner Mongolia Research Institute, China University of Mining and Technology (Beijing), Ordos 017001, China National Engineering Research Center of Coal Mine Water Hazard Controlling, Beijing 100083, ...
Nature

Wireless body area sensor networks based human activity recognition using deep learning

In the healthcare sector, the health status and biological, and physical activity of the patient are monitored among different sensors that collect the required information about these activities ...
Scientific Research Publishing

Optimizing Facial Expression Recognition through Effective Preprocessing Techniques ()

1 PG Department of Computer Applications, Dwaraka Doss Goverdhan Doss Vaishnav College, Chennai, India. 2 PG and Research Department of Computer Science, Dwaraka Doss Goverdhan Doss Vaishnav College, ...