[HTML][HTML] A predictive and preventive model for onset of Alzheimer's disease
Alzheimer's Disease (AD) is a neurodegenerative irreversible brain disorder that gradually
wipes out the memory, thinking skills and eventually the ability to carry out day-to-day tasks …
wipes out the memory, thinking skills and eventually the ability to carry out day-to-day tasks …
Communication delay modeling for wide area measurement system in smart grid Internet of Things networks
We present communication frameworks, models, and protocols of smart grid Internet of
Things (IoT) networks based on the IEEE and IEC standards. The measurement, control, and …
Things (IoT) networks based on the IEEE and IEC standards. The measurement, control, and …
Bad data detection and multi-level classification of events in synchrophasor measurements using AXGBoost algorithm
A Priyadarshi, KB Yadav - Electrical Engineering, 2024 - Springer
The power grid operators collect the data on a smart grid via the phasor measurement unit
(PMU), which is placed at several points on the bus. However, the data at the PMU is prone …
(PMU), which is placed at several points on the bus. However, the data at the PMU is prone …
Performance evaluation of uplink shared channel for cooperative relay based narrow band internet of things network
Low Power Wide Area Network (LPWAN) is one of the fastest growing network techniques
provides efficient communciations for smart cities, e-Health, industry 4.0 and other …
provides efficient communciations for smart cities, e-Health, industry 4.0 and other …
Review of Artificial Intelligence and Machine Learning Recent Advancements
AA Alzoubi, I Al Aqeel, HM Alzoubi - Technology Innovation for Business …, 2024 - Springer
Artificial Intelligence means to duplicate human Intelligence to machines that are supposed
to act like human beings and imitate their actions. This can also be applied to any machines …
to act like human beings and imitate their actions. This can also be applied to any machines …
IoT Based Real Time Energy Billing and Monitoring
S Allirani, M Karthik, SS Krishiba… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Our aim of the project is to create an automatic energy monitoring and billing system through
a cayenne application. Our point is to lessen month to month bill by remote innovation and …
a cayenne application. Our point is to lessen month to month bill by remote innovation and …
Using Machine Learning to Protect Users Accounts in Twitter
KH Ali, SEA Alnawayseh, WT Al-Sit… - Technology Innovation for …, 2024 - Springer
Twitter is one of the most used social media sites where millions of people interact daily.
Users perform tremendous tasks on Twitter, and it also impacts their daily lives in several …
Users perform tremendous tasks on Twitter, and it also impacts their daily lives in several …
Cybers security analysis and measurement tools using machine learning approach
Artificial intelligence (AI) and machine learning (ML) have been used in transforming our
environment and the way people think, behave, and make decisions during the last few …
environment and the way people think, behave, and make decisions during the last few …
Implementing Machine Learning for the Analysis of Data
AA Alzoubi, HM Alzoubi - … for Business Intelligence and Analytics (TIBIA) …, 2024 - Springer
Abstract Machine Learning is a subdivision of Computer Science and Artificial Intelligence
which deals use of algorithms and data to mimic the way human brain works and later …
which deals use of algorithms and data to mimic the way human brain works and later …
Data Sharing with a Third-Party Within IoMT Environment: Challenges and Opportunities
AA Alzoubi, A Alhossani, HM Alzoubi - Technology Innovation for Business …, 2024 - Springer
This paper is set to understand and analyze the controversy surrounding a mental health
application called BetterHelp and what the organization could have done to prevent losing …
application called BetterHelp and what the organization could have done to prevent losing …