Frontiers

Virtual reality-induced emotion recognition with deep learning-based multimodal physiological feature fusion

Recognizing emotions objectively and accurately remains challenging because of the limited ecological validity, informational incompleteness, and constrained model performance of conventional ...
PNAS

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...
IEEE

Multi-Dimensional Feature Extraction and Classification Method for Industrial Noise Integrating Wavelet Transform and Machine Learning

Abstract: Industrial noise classification plays a crucial role in equipment health monitoring and predictive maintenance, yet existing methods suffer from inadequate feature extraction, limited ...
Digital Trends

Instagram is finally giving you an easy way to teach its algorithm what you like

What’s happened? Instagram is testing a new feature that gives users more control over the type of content they see on the platform. Why is this important? Instagram’s algorithm plays a major role in ...
Frontiers

Regional feature purification contrastive learning for wheat biotic stress detection

The identification of wheat infections has always been a considerable problem in agricultural forecasting. This paper presents an automated classification framework for wheat illnesses utilising ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
IEEE

Research and Application of Machine Vision Algorithm Based on Deep Learning Feature Extraction, Edge Computing Optimization and Rapid Reconstruction in Flexible Assembly ...

Abstract: This research develops a machine vision algorithm integrating deep learning feature extraction (ResNet-based), edge computing optimization (TensorRT), and fast reconstruction (ICP) to ...
Time

Here's How Facebook's News Feed Actually Works

Follow this author to personalize your feed and get instant alerts. WHY FOLLOW? Custom Feed: See the stories that matter most to you. Smart Alerts: Get notified about major news as it happens. Update ...