[HTML][HTML] IoT-FAR: A multi-sensor fusion approach for IoT-based firefighting activity recognition

X Chai, BG Lee, C Hu, M Pike, D Chieng, R Wu… - Information …, 2025 - Elsevier
Inadequate training poses a significant risk of injury among young firefighters. Although
Human Activity Recognition (HAR) algorithms have shown potential in monitoring and …

Improving Accuracy of Activity Recognition in IOT-enabled automated residence using CatBoost: A Comparative Evaluation with OpenSHS Generated Dataset

K Aziz, S Dua, P Gupta - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Automated residence depends on precise activity identification to offer personalized
services, improve safety, and improve user experience. This research article compares the …

Medical care-Exploratory data analysis and Prediction using Machine Learning techniques

C Kaushik, KS Charu - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Big data, which incorporates hidden information or patterns for decision-making, is produced
by the healthcare industry in vast quantities. Resolutions that are made with more accuracy …

[PDF][PDF] COMPARISON AND ANALYSIS OF DATA AUGMENTATION METHODS FOR FIXED-LENGTH TIME SERIES DATA

W Jung, JT Ryu, K Jeong, Y Oh - romanpub.com
ABSTRACT A fair way to evaluate designed ML models is to check the performance when
using the same dataset. The dataset should have a sufficient number of samples and be well …

Machine learning assisted prediction of land surface temperature (LST) based on major air pollutants over the Annamayya District of India

JK Mogaraju - International Journal of Engineering and …, 2024 - dergipark.org.tr
Remote sensing (RS), Geographic information systems (GIS), and Machine learning can be
integrated to predict land surface temperatures (LST) based on the data related to carbon …