[HTML][HTML] Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning
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 …
(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 …
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
Cardiovascular Diseases (CVDs) have emerged as a significant physiological condition,
being a primary contributor to mortality. Timely and precise diagnosis of heart disease is …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
robotics applications aims to achieve critical task execution by implementing sophisticated …