IEEE

Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets

Abstract: The security of Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems has been significantly enhanced through the integration of effective intrusion detection systems ...
IEEE

Optimal Channel Selection for FY-4B GIIRS Explainable Machine Learning Cloud Detection Algorithm

Abstract: Cloud detection is a crucial preliminary step for assimilating meteorological satellite observation and retrieving other atmospheric parameters. This article presents an explainable machine ...
GitHub

Blood Cell Detection System

This system provides an automated solution for blood cell detection and analysis using computer vision and machine learning techniques. The application features a web-based interface built with ...
Frontiers

Using a seasonal and trend decomposition algorithm to improve machine learning prediction of inflow from the Yellow River, China, into the sea

The Yellow River is the largest inflow into the Bohai Sea, and its inflow changes directly affect the ecological environment and marine health of the Bohai Sea. Therefore, accurate prediction of the ...
Scientific Research Publishing

Dynamic Classification Using the Adaptive Competitive Algorithm for Breast Cancer Detection ()

Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) techniques have ...
GitHub

data-analysis-python-numpy-machine-learning

Hello! I am Stanisalv Kotlyarov , an aspiring Data Analyst with a passion for data science, machine learning, and problem-solving. I am currently working on enhancing my data analysis skills and ...
Frontiers

A multi-modal deep learning approach for stress detection using physiological signals: integrating time and frequency domain features

Objective: This study aims to develop a multimodal deep learning-based stress detection method (MMFD-SD) using intermittently collected physiological signals from wearable devices, including ...