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AI-driven IoT (AIIoT) in healthcare monitoring
K Kazi - Using Traditional Design Methods to Enhance AI …, 2024 - igi-global.com
This research provides a thorough yet concise review of the opportunities and challenges for
utilizing AI and IoT in the healthcare sector. Also included are an outline of AI and IoT, their …
utilizing AI and IoT in the healthcare sector. Also included are an outline of AI and IoT, their …
Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks
KKS Liyakat - International Conference on Machine Learning, IoT …, 2023 - Springer
Devices can now effortlessly and wirelessly share data with one another over the internet or
other networked systems thanks to a relatively new technology called Internet of Things …
other networked systems thanks to a relatively new technology called Internet of Things …
Detecting malicious nodes in IoT networks using machine learning and artificial neural networks
KKS Liyakat - … Conference on Emerging Smart Computing and …, 2023 - ieeexplore.ieee.org
Thanks to a relatively new technology known as the Internet of Things, devices can now
easily and wirelessly share data with one another over the internet or other networked …
easily and wirelessly share data with one another over the internet or other networked …
Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems.
KK Sayyad Liyakat… - … International Journal of …, 2024 - search.ebscohost.com
Among the most efficient sources of renewable energy and a potential significant source of
electricity is wind energy. Wind energy is perfect for dependable energy systems since it can …
electricity is wind energy. Wind energy is perfect for dependable energy systems since it can …
[PDF][PDF] Predictive data analytics framework based on heart healthcare system (HHS) using machine learning
PM Nerkar, BU Dhaware… - Journal of Advanced …, 2023 - researchgate.net
Cardiovascular diseases (CVD) have recently outdid all other reasons of death universal in
both develo** and developed nations. Initial detection of cardiac conditions and …
both develo** and developed nations. Initial detection of cardiac conditions and …
Modelling and simulation of electric vehicle for performance analysis: BEV and HEV electrical vehicle implementation using Simulink for E-mobility ecosystems
K Kazi - E-Mobility in Electrical Energy Systems for …, 2024 - igi-global.com
The mathematical model of the BEV is created in this instance using the MATLAB/Simulink
environment and evaluated using several standard drive cycles in order to evaluate the …
environment and evaluated using several standard drive cycles in order to evaluate the …
[PDF][PDF] Internet of robotic things in cardiac surgery: an innovative approach
It is possible that the application of the Internet of Robotic Things in cardiac surgery may
bring about a revolution in the field of medicine and a significant improvement in the …
bring about a revolution in the field of medicine and a significant improvement in the …
[PDF][PDF] Implementation of fault detection framework for healthcare monitoring system using IoT, sensors in wireless environment
DKP Pardeshi - Telematique, 2022 - researchgate.net
Recent technological development has paved the path for various industries to explore and
utilize Internet of Things (IoT) and Wireless sensor networks in their respective fields. One …
utilize Internet of Things (IoT) and Wireless sensor networks in their respective fields. One …
[PDF][PDF] Nanosensors in Agriculture Field: A Study
KSS Liyakat, KKS Liyakat - International Journal of Applied …, 2024 - journalspub.com
The agricultural sector faces numerous challenges, including the need for increased
productivity, concentrated environmental influence, and improved food security due to a …
productivity, concentrated environmental influence, and improved food security due to a …
Machine Learning-Driven Internet of Things (MLIoT)-Based Healthcare Monitoring System
KSL Kazi, MA Mahant - Digitalization and the Transformation of the …, 2025 - igi-global.com
Healthcare organisations frequently use Machine Learning (ML) to generate precise and
timely results. Doctors can make preliminary choices to save patients' lives thanks to early …
timely results. Doctors can make preliminary choices to save patients' lives thanks to early …