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[HTML][HTML] AI based elderly fall prediction system using wearable sensors: A smart home-care technology with IOT
Impairment and a substantial decline in the mobility, independence, and quality of life of an
elderly person. In this regard, the current work suggests a novel IoT-based system that …
elderly person. In this regard, the current work suggests a novel IoT-based system that …
[HTML][HTML] An intelligent IOT sensor coupled precision irrigation model for agriculture
Sustainable agricultural practices are required, especially for irrigation, to provide for a
growing population. About 85% of the freshwater resources in the world are used for …
growing population. About 85% of the freshwater resources in the world are used for …
Remote patient activity monitoring system by integrating IoT sensors and artificial intelligence techniques
P Palanisamy, A Padmanabhan, A Ramasamy… - Sensors, 2023 - mdpi.com
Even with the most cutting-edge tools, treating and monitoring patients—including children,
elders, and suspected COVID-19 patients—remains a challenging activity. This study aimed …
elders, and suspected COVID-19 patients—remains a challenging activity. This study aimed …
Chaotic opposition learning with mirror reflection and worst individual disturbance grey wolf optimizer for continuous global numerical optimization
The effective meta-heuristic technique known as the grey wolf optimizer (GWO) has shown
its proficiency. However, due to its reliance on the alpha wolf for guiding the position …
its proficiency. However, due to its reliance on the alpha wolf for guiding the position …
[HTML][HTML] A novel prognostic model using chaotic CNN with hybridized spoofing for enhancing diagnostic accuracy in epileptic seizure prediction
Epileptic seizure detection has undergone progressive advancements since its conception
in the 1970s. From proof-of-concept experiments in the latter part of that decade, it has now …
in the 1970s. From proof-of-concept experiments in the latter part of that decade, it has now …
[HTML][HTML] IOT enabled hybrid model with learning ability for E-health care systems
One of the most cutting-edge technologies over the years is the Internet of Things (IoT),
which is a major force behind the paradigm shift away from conventional medical practises …
which is a major force behind the paradigm shift away from conventional medical practises …
HEECCNB: An efficient IoT-cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems
C Veena, M Sridevi, KKS Liyakat… - … on Image Information …, 2023 - ieeexplore.ieee.org
The rapid expansion of the Internet of Things (IoT) in various fields has brought about
significant advancements in data processing capabilities, in particular with the advent of IoT …
significant advancements in data processing capabilities, in particular with the advent of IoT …
Comprehensive investigation on Deep learning models: Applications, Advantages, and Challenges
R Avacharmal, S Pamulaparthyvenkata… - 2024 15th …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) have been completely transformed by
deep learning (DL), which provides unmatched power in handling massive, unstructured …
deep learning (DL), which provides unmatched power in handling massive, unstructured …
[HTML][HTML] A modular IOT sensing platform using hybrid learning ability for air quality prediction
The world's underdeveloped countries, who have been affected the worst, are experiencing
an increase in climatic issues. Today more than ever, the requirement for precise …
an increase in climatic issues. Today more than ever, the requirement for precise …
[HTML][HTML] An effectual IOT coupled EEG analysing model for continuous patient monitoring
A persistent neurological condition known as epilepsy is characterized by aberrant brain
electrical activity. Epilepsy is a disorder characterized by sporadic symptoms and aberrant …
electrical activity. Epilepsy is a disorder characterized by sporadic symptoms and aberrant …