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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 …
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 …
natural and man-made. Therefore, novel approaches are required to mitigate their negative …
Various crop yield prediction techniques using machine learning algorithms
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 …
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
Assuming strong environmental awareness, the arrival of autonomous vehicles signals a
revolutionary age in transportation. In order for autonomous vehicles to have trustworthy …
revolutionary age in transportation. In order for autonomous vehicles to have trustworthy …
Hybrid modeling approaches in energy internet: Bridging cyber, physical, and social realms
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 …
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
Waste management has become an increasingly pressing issue due to urbanization,
population growth, and economic development. According to World Bank projections, waste …
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
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 …
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 …
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
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 …
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 …
convolutional neural networks (CNNs) for the early detection of crop diseases, a critical …