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 …

[HTML][HTML] A novel deep learning method for predicting athletes' health using wearable sensors and recurrent neural networks

WY Alghamdi - Decision Analytics Journal, 2023 - Elsevier
Good health is extremely important for athletes who engage in strenuous physical activities,
such as football. They must develop a healthy body before participating in vigorous activities …

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 …

The Nexus of Fog Computing and Wireless Sensor Systems Opportunities and Challenges

SA Yadav, S Yamini, AS Jose, M Gupta… - 2024 International …, 2024 - ieeexplore.ieee.org
Remember also that enhancing real-time apps relies heavily on the efficient and dynamic
allocation of computer resources in fog computing and WSS. Because these two …

Novel Ultrasonic Image Reconstruction and Deep Learning Model-Based Categorization for Accurate Liver Disease Diagnosis

GS Nijaguna, S Sureddy, D Mohapatra… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The diagnosis of liver illnesses is critical for efficient treatment and management of the
condition. By combining deep learning model-based classification with ultrasonic image …

Enhancing Segmentation of Abdominal Aortic Aneurysms in CT Images

AS Javeed, KM Veeresh, VN Ganesh… - … Conference on Data …, 2023 - ieeexplore.ieee.org
This study concentrates on a potential strategy for improving Abdominal aortic aneurysms
(AAAs) segmentation in CT imaging. The study's dataset included 19 CT images of healthy …

Cybersecurity Challenges and Data Protection Strategies in Contemporary Wireless Environments

NVRS Reddy, CP Kumar, JKK Archakam… - 2024 International …, 2024 - ieeexplore.ieee.org
This report provides a complete range of WiFi cybersecurity solutions. The Advanced
Encryption Protocols Algorithm protects data via AES and complicated math. It takes 20 …

Advances in Wearable Sensors for Real-Time Internet of things based Biomechanical Analysis in High-Performance Sports.

V Alagdeve, RK Pradhan… - Journal of Intelligent …, 2024 - search.ebscohost.com
Interest in wearable technology and the need for eco-friendly solutions have spurred new
methodologies. This research examines how sophisticated deep learning and biomimetic …

Integrating Predictive Big Data Analytics with Behavioral Machine Learning Models for Proactive Threat Intelligence in Industrial IoT Cybersecurity.

V Nagamalla, RK Sanapala - International Journal of …, 2023 - search.ebscohost.com
This paper introduces a comprehensive framework for industrial Internet of Things (IoT)
cybersecurity, integrating multiple algorithms to enhance threat intelligence. The proposed …

Leveraging Scalable Classifier Mining for Improved Heart Disease Diagnosis

KR Swetha, L Ushasree, KS Reddy… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The scalable classifier mining technique proposed in this article aims to improve the
accuracy and scalability of heart disease prediction models. This method employs a wide …