Latest Articles for Convolutional Neural Networks

This study evaluates modern methods for filling gaps in energy data.

Examining the difficulties in ROP diagnosis through automated systems.

Raman spectroscopy enhances drug production with real-time chemical analysis.

A new model that enhances visual task performance by combining CNNs and Transformers.

RepViT combines CNNs and ViTs for efficient mobile vision applications.

ConViT model improves human action recognition in still images using deep learning.

A new approach improves identifying individuals in images with advanced feature extraction.

A new method improves accuracy of forecasts across different hierarchical levels.

A new method estimates Betti numbers from large four-dimensional images using CNNs.

New methods enhance the efficiency of Spiking Neural Networks through reduced firing.

New models enhance predictions for Age-Related Macular Degeneration progression.

A new method estimates mouse body poses from unlabelled images using synthetic data.

A new approach to strengthen visual AI against natural disturbances using realistic objects.

Introducing SleepStageNet, a deep learning model for sleep stage analysis.

Examining how technology improves pavement inspection and maintenance.

New method enhances image classification by combining texture analysis and deep learning.

A new ConvNet design enhances flexibility and adaptability through continuous symmetry.

Using computer vision to identify beneficial herbal plants in Indonesia.

This article examines how neuroevolution improves vehicle trajectory prediction through multi-objective optimization.

QCNNs blend quantum computing with neural networks for potential advancements in data processing.

Study uses advanced models to identify galaxy-galaxy strong lenses.

A look at methods used to predict increasing heatwave events.

A focus on trustworthiness in AI systems for reliable 6G communications.

This study presents a method for better anomaly detection using dimensionality reduction.

Discover the impact of Piecewise Linear Activations on deep learning models.

A new method enhances explainability of CNNs in manufacturing quality control.

This article highlights machine learning's role in analyzing phase transitions.

The Spatial Cross-scale Convolution Module improves efficiency in image recognition models.

A new network structure enhances object detection using RGB-D images.

A new method enhances the robustness of Mixture of Experts CNNs against adversarial inputs.

CASS combines AI techniques to improve healthcare analysis with limited data.

This paper discusses how robots can identify conversation partners using visual cues.

A study on feature extraction for Bangla text classification using deep learning models.

This study explores AI's role in detecting illegal dumps in rural Cyprus.

Strategies to improve image classification by minimizing background influence.

Machine learning transforms trading strategies in commodities, creating new opportunities for investors.

CS-Mixer offers a new way to process images by combining information from different scales.

New methods improve the detection of laser beam positions in advanced research facilities.

SaEnet enhances CNN performance by focusing on essential features in images.

New methods improve ECG classification accuracy through innovative data representation.