Unite.AI

Jigsaw Puzzles Boost AI Visual Reasoning

New research indicates that AI models can get smarter at seeing by solving jigsaw puzzles. Rearranging scrambled images, ...
AlphaGalileo

Unsupervised AI network separates wood and leaves in 3D forest scans

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf ...
IEEE

Improved Violence Detection in Video Analysis with a Hybrid CNN Approach Using 3D and 2D Convolutional Networks

Abstract: Surveillance systems are essential to address the risk of criminal activities. It is crucial to detect such activities in real time to prompt an immediate police response. Currently, ...
IEEE

Automated Recognition of Machining Features in Mechanical Components Utilizing 3D Convolutional Neural Networks

Abstract: Machining feature recognition is crucial for achieving automation and intelligence in the realm of intelligent manufacturing. It serves as a fundamental technology for the integration of ...
IEEE

SSGRAM: 3-D Spectral-Spatial Feature Network Enhanced by Graph Attention Map for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) and graph neural networks (GNNs) are two widely used architectures in hyperspectral image (HSI) classification. Most CNN models tend to heavily rely on ...
IEEE

Ensemble Neural Network 3D-CNN and LSTM in the Problem of Assessing the State of a Technological System for Processing Ore Waste

Abstract: The study deals with the problem of improving information support for a complex energy and technological system of processing ore waste which accumulates in large volumes in areas adjacent ...
IEEE

3D Convolutional Neural Networks for Brain Tumor Analysis in Multimodal MRI: A Systematic Review

Abstract: Convolutional neural networks (CNNs) have emerged as a preferred approach for medical image analysis. The dimensionality of images is a principal factor in CNN models, as they are designed ...