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

AudioSetCaps: An Enriched Audio-Caption Dataset Using Automated Generation Pipeline With Large Audio and Language Models

Abstract: With the emergence of audio-language models, constructing large-scale paired audio-language datasets has become essential yet challenging for model development, primarily due to the ...
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

Intrusion Detection in IoT Networks Using LSTM Deep Learning Models with the UNSW-NB15 Dataset

Abstract: Network Intrusion Detection Systems (IDS) are an essential part of the Internet of Things (IoT) Networks, addressing the increasingly severe challenges posed by Internet security threats.
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 ...
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 ...
TechCrunch

It just got easier for Claude to check in on your WordPress site

On Thursday, WordPress launched a new Claude connector, enabling site owners to share back-end data with Anthropic’s chatbot system. Users can control what specific data they want to share, and access ...
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, ...