IEEE

UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques

Abstract: Unmanned Aerial Vehicle (UAV) networks have be-come increasingly prevalent across various sectors, including mil-itary operations, disaster management, and commercial services. However, ...
IEEE

Optimized Ensemble Learning for Semantic Segmentation of Satellite Imagery Using DeepLabV3+ and UNet With PSO and Cross-Dataset Evaluation

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
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

Prediction: Edge Industrial IoT (EIIoT) Dataset Analysis and Determination of threats by using DNN Technique

Abstract: Usages of IoT devices are increased day by day in many applications, IoT devices are very weak and can be vulnerable easily, IoT devices are connected to different types of network and these ...
TechCrunch

From Svedka to Anthropic, brands make bold plays with AI in Super Bowl ads

Following last year’s trend of showcasing AI in multimillion-dollar ad spots, the 2026 Super Bowl advertisements took it a step further by leveraging AI both to create the commercials and to promote ...
IEEE

Ensemble Machine Learning for UAV Network Intrusion Detection: Comprehensive Analysis Using the UAV-NIDD Dataset

Abstract: Unmanned Aerial Vehicles (UAVs) are at the center of a number of mission-critical applications, however, the largescale deployment of these vehicles is accompanied by cybersecurity risks ...
IEEE

U-Net: A Binary Segmentation Architecture for Building Localization in Structural Health Monitoring using the xBD Dataset

Abstract: Structural Health Monitoring (SHM) is essential in disaster scenarios, providing critical support for building localization, accurate damage assessment, and effective classification of ...
IEEE

Breast Cancer Identification Using Deep Learning on the BreakHis Dataset: Classification and Segmentation Approaches

Abstract: Breast cancer ranks among the top in all the different type of cancer that fatalities for death in women globally. Traditional histopathological analysis methods are manual, time-consuming, ...
IEEE

Approach to multiclass classification of the SRBCT dataset by using KNN Classification

Abstract: An approach to multiclass tumor classification using the K-Nearest Neighbour(KNN) classification model. The model is trained on the original dataset. We also performed various Statistical ...
TechCrunch

Homeland Security is trying to force tech companies to hand over data about Trump critics

The Department of Homeland Security has been quietly demanding tech companies turn over user information about critics of the Trump administration, according to reports. In several cases over recent ...