IEEE

BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images

Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment ...
IEEE

Comparative Analysis of Machine Learning and Deep Learning Models for Land Use Classification: On UC Merced Dataset

Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
IEEE

Automated Trash Detection and Classification Using CNN: A Deep Learning Approach

Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...
AOL

Democrat Taylor Rehmet flips a Texas state Senate seat Trump won by 17 points, CNN projects

Democrats notched another victory Saturday in special elections during President Donald Trump’s second term, flipping a seat in the Texas Senate that Trump won by 17 points in 2024. Taylor Rehmet, a ...
Yahoo

Democrat Taylor Rehmet flips a Texas state Senate seat Trump won by 17 points, CNN projects

Add Yahoo as a preferred source to see more of our stories on Google. Taylor Rehmet is seen in Fort Worth, Texas, on January 14. - Desiree Rios/The New York Times/Redux Democrats notched another ...
IEEE

Hybrid Attention Driven CNN-Mamba Multimodal Fusion Network for Remote Sensing Image Semantic Segmentation

Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...
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 ...
CNN

Melania Trump’s multimillion-dollar documentary project faces a key test this week

First lady Melania Trump and Amazon MGM Studios face a high-stakes test this week with the release of the “Melania” documentary: Will the multimillion-dollar investment pay off? Approximately $35 ...
IEEE

Language-Guided and Similarity-Aware Network for Few-Shot Classification of Coastal Wetland Hyperspectral Images

Abstract: In recent years, few-shot learning (FSL) has made significant progress in hyperspectral image classification (HSIC) by transferring meta-knowledge from a source domain with sufficient ...
IEEE

Matching Street View Images for the Classification of Urban Land Use From Very-High-Resolution Remote Sensing Images

Abstract: Street view (SV) images provide valuable supplementary data for characterizing the functional attributes of land use types, improving urban land use classification based on ...
IEEE

Improved Transformer Network Based on Multiscale Grouping Feature Fusion for Hyperspectral Image Classification

Abstract: In recent years, hyperspectral image classification methods based on convolutional neural networks and Transformer architectures have achieved remarkable success. However, existing ...
TheWrap

CNN Projected to Hit $1.8 Billion in Revenue, $600 Million in Profit for 2026

CNN is projected to hit $1.8 billion in revenue and $600 million in adjusted profit for 2026, according to new regulatory filing by parent company Warner Bros. Discovery released on Tuesday. Revenue ...