Latest Articles for CNNs

Exploring how neural networks recognize symmetries in data through equivariance.

Examining how image data can improve predictions of pedestrian behavior.

New techniques enhance flood detection using SAR imagery and DAM-Net.

Analyzing different models for predicting cell tower positions using images.

A new framework makes multivariate time series classification results easier to understand.

FasterViT combines CNNs and Vision Transformers for efficient image processing.

A new neuron design enhances CNN capabilities while reducing computational costs.

A new method improves corn kernel counting using advanced image processing.

A new model enhances how machines recognize images by blending global and local features.

Transformers are changing how we analyze and diagnose heart conditions using ECG data.

Explore the role of centrosomes and their components in cell division.

A new CNN model improves retinal disease diagnosis accuracy and efficiency.

This study assesses the effectiveness of XAI methods in medical imaging.

Examining the rise of spiking neural networks in artificial intelligence.

A new method improves authorship attribution using advanced techniques and text analysis.

A study reveals challenges in identifying unique traits of OCD compared to other disorders.

A new model improves low-resolution images efficiently.

A framework to enhance image classification performance with limited data.

Innovative methods improve accuracy in recognizing individuals across different camera views.

A new method for depth estimation using a single camera in robotics.

Using real-time data to improve disease outbreak predictions.

An overview of methods to predict image beauty using diverse datasets.

Researchers use neural networks to simulate itinerant magnets and their unique dynamics.

This study uses deep learning for hand gesture recognition with muscle signals.

New halftoning method restores original colors while enhancing image quality.

A study proposes a method to classify Parkinson's disease into three categories using imaging data.

Learn how chart classification helps automate data understanding.

A new model improves relation extraction from structured data using neural networks.

Short-term trajectory prediction is crucial for autonomous vehicle safety.

This study evaluates how CNNs handle color changes in image classification.

Using machine learning to count faint radio sources in the universe.

Learn how Video-FocalNet improves video action recognition technology.

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

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

New models improve Arabic handwriting recognition speed and accuracy.

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

A new approach enhances video understanding through scene separation.

Examining how technology improves pavement inspection and maintenance.

This study analyzes how patients feel about their medications using advanced models.

New technologies improve communication for individuals with speech disorders.