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

Imagined Speech Detection Using Multi-Receptive CNN for Asynchronous BCI Communication and Neurorehabilitation

Abstract: Imagined speech-based brain-computer interface (BCI) facilitates brain signal-driven intuitive communication which holds great promise as an effective speech rehabilitation tool, enabling ...
Microsoft

New Clickfix variant ‘CrashFix’ deploying Python Remote Access Trojan

CrashFix crashes browsers to coerce users into executing commands that deploy a Python RAT, abusing finger.exe and portable Python to evade detection and persist on high‑value systems.
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 ...
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

MoViM: A Hybrid CNN Vision Mamba Network for Lightweight Semantic Segmentation of Multimodal Remote Sensing Images

Abstract: The “others” category in multimodal remote sensing images is characterized by high intraclass variability. Therefore, the existing lightweight semantic segmentation models struggle with this ...
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

Novel Mask R-CNN Based Mushroom Cluster Tracking in Time-Lapse Images From a Farm Environment

Abstract: This study aims to develop a novel deep learningbased approach to support the automated mushroom growth monitoring using an object tracking algorithm in conjunction with instance ...
Hosted on MSN

CNN’s Jake Tapper looks at criticism of some Trump admin memes and images

CNN’s Jake Tapper reports. Why 7 GOP senators voted against bill to keep government open past Friday Weight-loss drugs draw thousands of lawsuits alleging serious harm Rob Schneider's wife files for ...
IEEE

Cross-Scale Window Attention for Cross-Domain Hyperspectral Image Classification

Abstract: Hyperspectral image classification (HSIC) is crucial in several fields, but relies on a large number of labeled samples. Due to the high cost of manual annotation and the scarcity of samples ...