[HTML][HTML] Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning

F Oliveira, DG Costa, F Assis, I Silva - Internet of Things, 2024 - Elsevier
This article comprehensively reviews the emerging concept of Internet of Intelligent Things
(IoIT), adopting an integrated perspective centred on the areas of embedded systems, edge …

Patient care through AI-driven remote monitoring: Analyzing the role of predictive models and intelligent alerts in preventive medicine

GM Dogheim, A Hussain - Journal of Contemporary …, 2023 - publications.dlpress.org
The integration of predictive models and intelligent alerts has emerged as a promising
approach to enhance preventive medicine by leveraging advanced analytics techniques …

Heart disease prediction using novel ensemble and blending based cardiovascular disease detection networks: EnsCVDD-Net and BlCVDD-Net

H Khan, N Javaid, T Bashir, M Akbar, N Alrajeh… - IEEE …, 2024 - ieeexplore.ieee.org
Cardiovascular Diseases (CVDs) have emerged as a significant physiological condition,
being a primary contributor to mortality. Timely and precise diagnosis of heart disease is …

[PDF][PDF] Grad-CAM: understanding AI models

S Wang, Y Zhang - Comput. Mater. Contin, 2023 - academia.edu
Artificial intelligence (AI)[1, 2] allows computers to think and behave like humans, so it is now
becoming more and more influential in almost every field [3]. Hence, users in businesses …

Machine learning and predictive analytics: Advancing disease prevention in healthcare

MS Ibrahim, S Saber - Journal of Contemporary Healthcare …, 2023 - publications.dlpress.org
This research study explores the impact of machine learning and predictive analytics on
disease prevention in healthcare. By analyzing vast amounts of patient data, these …

[PDF][PDF] Challenges and Solutions for Data Integrity in Clinical Trials Informatics

L Chan - 2023 - osf.io
Maintaining data integrity in clinical trials informatics is a critical challenge that directly
impacts the reliability and credibility of research outcomes. This paper explores the …

Big data analytics in the entertainment Industry: audience behavior analysis, content recommendation, and Revenue maximization

A Ahmed, AM Abdulkareem - Reviews of Contemporary Business …, 2023 - researchberg.com
This research contributes to the understanding of the significant role of big data analytics in
transforming the entertainment industry. In this study, we investigate the impact of big data …

Creating sustainable urban environments: The vital link between development, health, and smart cities

O Grace, K Iqbal, F Rabbi - … of Sustainable Infrastructure for Cities and …, 2023 - vectoral.org
Sustainable urban environments are vital for the well-being and prosperity of cities and their
residents. This research explores the interconnections between development, health, and …

[HTML][HTML] Embedding Tree-Based Intrusion Detection System in Smart Thermostats for Enhanced IoT Security

A Javed, MN Awais, AH Qureshi, M Jawad, J Arshad… - Sensors, 2024 - mdpi.com
IoT devices with limited resources, and in the absence of gateways, become vulnerable to
various attacks, such as denial of service (DoS) and man-in-the-middle (MITM) attacks …

[HTML][HTML] A Review on Resource-Constrained Embedded Vision Systems-Based Tiny Machine Learning for Robotic Applications

M Beltrán-Escobar, TE Alarcón, JY Rumbo-Morales… - Algorithms, 2024 - mdpi.com
The evolution of low-cost embedded systems is growing exponentially; likewise, their use in
robotics applications aims to achieve critical task execution by implementing sophisticated …