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, videos, and 3D scenes helps them sharpen their visual skills without the need ...
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 components in 3D point clouds ...
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

Learning Developmental Age From 3D Infant Kinetics Using Adaptive Graph Neural Networks

Abstract: Reliable methods for the neurodevelopmental assessment of infants are essential for early detection of problems that may need prompt interventions. Spontaneous motor activity, or ‘kinetics’, ...
IEEE

Real Time Fault Detection in 3D Printers Using Convolutional Neural Networks and Acoustic Signals

Abstract: The reliability and quality of 3D printing processes are critically dependent on the timely detection of mechanical faults. Traditional monitoring methods often rely on visual inspection and ...
IEEE

3D Holographic Imaging Using Diffractive Deep Neural Networks with Wavelength Division Multiplexing

Abstract: Ahstract-A 3D holographic imaging method is proposed using diffractive deep neural networks based on wavelength division multiplexing. The method can adapt to phase modulation differences at ...
IEEE

High-Efficiency Reconfigurable Optical Convolutional Neural Network

Abstract: As the intricacy of network models escalates and the volume of data swells exponentially, the demands on the processing capabilities of neural networks have become increasingly rigorous.
IEEE

Deep Learning Based Automatic Essay Scoring Using Convolutional Neural Network with Alexnet (CNN-A)

Abstract: Essay assessments, especially in mathematics, present unique challenges due to the variation in answer formats and the potential for subjective scoring. Manual evaluation becomes ...
IEEE

EEG-Based Emotion Recognition via Multi-Dimensional Feature Fusion with 3D Convolutional Neural Network and Transformer

Abstract: Electroencephalography (EEG) plays an essential role in emotion studies due to its ability to capture emotional signals in an objective manner. Despite significant advancements in EEG-based ...
IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
IEEE

3D Shape Classification by Registration: Neural-Network-Free and Training-Free

Abstract: Point cloud classification, crucial for discriminative 3D shape analysis, has witnessed significant progress through the application of deep learning. A significant research focus has been ...
IEEE

Diagnosis of Parkinsonian Syndromes in 18F-FDG PET Images Based on 3D CNN-LSTM-Attention

Abstract: Parkinson's syndrome (PS) is a group of neurodegenerative disorders characterized by motor impairments, including idiopathic Parkinson's disease (IPD), progressive supranuclear palsy (PSP), ...