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

Brain Cancer MRI Classification using CNN Architectures with Grid Search Enhanced with Coordinate Ascent Optimization

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
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 ...
IEEE

Understanding the Phase in Single-Polarization SAR Images: A Ship Classification Study

Abstract: In this article, an in-depth analysis is presented on the role of the phase in the ship classification using single-polarization synthetic aperture radar (SAR) images. To conduct the ...
IEEE

Image Forgery Detection using CNN And Siamese Networks

Abstract: Image forgery detection is a critical challenge in digital forensics, requiring advanced techniques to identify tampered regions in digital images. This research presents a novel deep ...
KESQ News

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

(CNN) — 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 ...
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 ...
Mashable

Meet Project Genie from Google, a 'world model' it calls a stepping stone to AGI

An example of a virtual world created by Project Genie. Credit: Google Google has launched a new AI experiment called Project Genie, a tool that lets users build their own interactive virtual worlds.
PBS

Trump's use of AI images further erodes public trust, experts say

LOS ANGELES (AP) — The Trump administration has not shied away from sharing AI-generated imagery online, embracing cartoonlike visuals and memes and promoting them on official White House channels.
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 ...