Student health detection using a machine learning approach and IoT

M Pradeepa, K Jamberi, S Sajith… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
With the development of sensor technologies, Internet of Things (IoT) technologies for
creating behavioral and physiological management systems, including IoT-based pupil …

Harnessing the power of artificial intelligence for disaster response and crisis management

A Harika, G Balan, HP Thethi, A Rana… - 2024 International …, 2024 - ieeexplore.ieee.org
People on every continent today have to deal with the continual threat of disasters, both
natural and man-made. Therefore, novel approaches are required to mitigate their negative …

Various crop yield prediction techniques using machine learning algorithms

M Gupta, SK BV, B Kavyashree… - … and smart energy …, 2022 - ieeexplore.ieee.org
Agriculture is the third most contributing sector in the Indian Gross Domestic Product (GDP).
Selecting right crop for the right soil at the right season plays a major role in getting good …

Autonomous multi-sensor fusion techniques for environmental perception in self-driving vehicles

I Sumalatha, P Chaturvedi, S Patil… - 2024 International …, 2024 - ieeexplore.ieee.org
Assuming strong environmental awareness, the arrival of autonomous vehicles signals a
revolutionary age in transportation. In order for autonomous vehicles to have trustworthy …

Hybrid modeling approaches in energy internet: Bridging cyber, physical, and social realms

P Chaturvedi, HP Thethi, NVU Reddy… - 2024 International …, 2024 - ieeexplore.ieee.org
Effective modeling approaches are required for the management and operation of the
Energy Internet due to the system's complexity and mobility. New hybrid models that link the …

AI Based Prediction Algorithms for Enhancing the Waste Management System: A Comparative Analysis

V Arun, EKR Patro, VSA Devi, A Nagpal… - E3S Web of …, 2024 - e3s-conferences.org
Waste management has become an increasingly pressing issue due to urbanization,
population growth, and economic development. According to World Bank projections, waste …

An intelligent deep neural network with Opposition based Laplacian Equilibrium Optimizer to improve feature extraction using ECG signals

P Sharma, SK Dinkar - Biomedical Signal Processing and Control, 2024 - Elsevier
Problem The leading cause of death in the world is cardiovascular disease (CVD). It is
required to detect, prevent and manage cardiovascular diseases to reduce their effect and …

Integrating Quantum Computing for Enhanced Image Reconstruction in Medical Diagnostics

R Anuradha, CP Vandana, SV Singh… - 2024 International …, 2024 - ieeexplore.ieee.org
The ever-growing field of medical diagnostics is witnessing a paradigm shift with the
integration of quantum computing and deep neural networks (DNN). This paper presents a …

Classification of arrhythmia disease through electrocardiogram signals using sampling vector random forest classifier

SD Reddy, R Murugan, A Nandi, T Goel - Multimedia Tools and …, 2023 - Springer
An electrocardiogram (ECG) is an electrical signal produced by ECG sensors to examine
and visualize the heart's functionality, quick identification of arrhythmia aids in proper care …

Fusion of Hyperspectral Imaging and Convolutional Neural Networks for Early Detection of Crop Diseases in Precision Agriculture

K Dasari, SA Yadav, L Kansal… - 2024 International …, 2024 - ieeexplore.ieee.org
This research investigates the integration of hyperspectral imaging (HSI) and advanced
convolutional neural networks (CNNs) for the early detection of crop diseases, a critical …