Scientific Research Publishing

A Review of Data-Driven Prediction of Undesirable Events in Offshore Oil Wells

The production and operation of offshore oil wells present typical characteristics of strong coupling, high nonlinearity, obvious time-varying behavior, and high operational risks. The occurrence of ...
Frontiers

Artificial Intelligence for Multi-Omics and Medical Imaging in Major Non-Communicable Diseases

You will be redirected to our submission process. Non-communicable diseases (NCDs), including cardiovascular disease, cancer, diabetes, chronic respiratory conditions, and neurological disorders, ...
AZoOptics

Laser Scanning Dataset Enables AI-Driven Forest Analysis

The TreeScanPL10K dataset provides over 10,000 annotated TLS point clouds, advancing precision forestry and ecological ...
IEEE

Partial Multi-View Incomplete Multi-Label Learning Network With Quality-Aware Representation Fusion

Abstract: Recently, the topic of multi-view multi-label classification has aroused significant attention from scholars. Plenty of methods adopt an average weighting scheme to merge the features ...
IEEE

Learning Compact Semantic Information and Reliable Pseudo-labels for Incomplete Multi-View Multi-Label Classification

Abstract: Multi-view data encompasses various data types, including multi-feature, multi-sequence, and multi-modal data. Multi-view multi-label classification aims to leverage the rich semantic ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
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 ...