IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
IEEE

WTC-HST: Wavelet Transform Convolutions and Hierarchical Spatial Transformers for Polarimetric SAR Image Classification

Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification is an important task in remote sensing. However, due to its complex scattering mechanism and high-dimensional features, ...
IEEE

Visual Malware Classification Using a CNN

Abstract: Malware classification m ethods a re o ften costly, requiring constant retraining and large amounts of computing power in order to support large models that analyze software in numerous ways ...
IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
IEEE

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
IEEE

Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network

Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...
IEEE

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
GitHub

tensorflow-keras-cnn-image-classification

Add a description, image, and links to the tensorflow-keras-cnn-image-classification topic page so that developers can more easily learn about it.
Hosted on MSN

Photoshop Tutorial: How to Quickly Transform a Photo into a Compelling Image

Photoshop CC tutorial showing how to quickly transform an ordinary color or black & white photo into a dramatically, compelling image. This works especially well with landscapes and seascapes.
IEEE

Gas Classification Using Time-Series to Image Conversion and CNN-Based Analysis on Array Sensor

Abstract: Gas detection is essential in industrial and domestic environments to ensure safety and prevent hazardous incidents. Traditional single-sensor time-series analysis often suffers from ...
IEEE

High Precision CNN Predictor of Color Images for Reversible Data Hiding

Abstract: In the reversible data hiding (RDH) community, there are already many depth predictors for grayscale images, but depth predictors for color images are urgently needed to be developed.