IEEE

Machine Learning based Bird’s Emotions Recognition using Joint Dataset of Audio and Visual Images

Abstract: Accurate recognition of bird emotions is essential for advancing bird behavior studies and conservation efforts. This paper introduces a learning approach for bird emotions recognition, ...
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 ...
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 ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
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 ...
TechCrunch

Xcode moves into agentic coding with deeper OpenAI and Anthropic integrations

Apple is bringing agentic coding to Xcode. On Tuesday, the company announced the release of Xcode 26.3, which will allow developers to use agentic tools, including Anthropic’s Claude Agent and ...
IEEE

Reconnecting the 30-Year Timeline (1992–2023): Constructing a Consistent Global 500-m NTL Dataset Using Super-Resolution Reconstruction and Ground-Object Feature Constraints

Abstract: Nighttime light (NTL) data provides an excellent opportunity for continuous spatiotemporal monitoring of global urbanization. However, in the two extensively employed NTL datasets [defense ...
IEEE

Developed Convolutional Neural Network for Mental Health Evaluation using Wearable Devices on WESAD Dataset

Abstract: Monitoring of mental health at an early stage allows for the intervention and treatment that suits the individual’s needs, thus enhancing successful outcomes with less stigma associated with ...