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

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 ...
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, ...
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 ...
IEEE

Optimizing 2D CNN Architectures for Tabular IoT Intrusion Data: A Comparative Study Using the BoT-IoT 2020 Dataset

Abstract: The increasing number of Internet-enabled devices has demonstrated the need to have accurate intrusion detection systems (IDSs). To address this, we adapt the structure of two-dimensional ...
IEEE

A High-Performance Malware Detection Using Extra Tree Classifier and Logistic Regression on TUNADROMD Dataset

Abstract: Precise malware identification is essential for enhancing cybersecurity frameworks against advancing threats. This study introduces an enhanced malware detection framework utilizing machine ...
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 ...