Greening smart cities: An investigation of the integration of urban natural resources and smart city technologies for promoting environmental sustainability

CX Hui, G Dan, S Alamri, D Toghraie - Sustainable Cities and Society, 2023 - Elsevier
The integration of urban natural resources and smart city technologies as a means to
promote sustainability is investigated in this study using a descriptive-analytical literature …

Secure and smart healthcare system using IoT and deep learning models

A Rana, A Reddy, A Shrivastava… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Patients of Smart Healthcare Systems have access to their medical records through an
online portal. Due to the fact that patients do not want their names made public, maintaining …

A smart healthcare monitoring system based on fog computing architecture

AR Yeruva, CSLV Durga… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Access to adequate medical care can be difficult in many countries, particularly in
economically develo** countries. There aren't enough medical professionals, such as …

Predicting preeminent Machine Learning Approach on Stars

S Manna, V Jalodia, K Kumar, V Tripathi… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Numerous statistical methods, including “machine learning”,“predictive modeling” and “data
mining” are included in predictive analysis.. One of the most intriguing and fascinating recent …

An Empirical Study and Simulation Analysis of the MAC Layer Model Using the AWGN Channel on WiMAX Technology

M Patidar, G Bhardwaj, A Jain, B Pant… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The IEEE 802.16 specification defines WiMAX, a wireless broadband data transmission
technology. It enables high-speed data transmission over a wide range and remains …

Customer-Churn Prediction Using Machine Learning

V Agarwal, S Taware, SA Yadav… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The gradual but consistent decrease in the number of customers retained over time is
referred to as “customer churn,” and it is a word that is frequently used in the business and …

Methods to detect an event using artificial intelligence and Machine Learning

A Singh, AP Srivastava, G Bhardwaj… - 2022 3rd …, 2022 - ieeexplore.ieee.org
Machine Learning can improve and automate how anomalous events can be detected and
reported faster than before. Some of the ways events can be easily detected through the use …

WBMS: Waste Bin Management System for densely populated urban areas

D Singh, P Chaturvedi, G Dhawan… - … in Technology and …, 2022 - ieeexplore.ieee.org
Management of solid waste is a major challenge in densely populated urban areas. Such
areas also have other predominant health management issues and improper waste …

Detection of Alzheimer's Disease Using Deep Learning, Blockchain, and IoT Cognitive Data

B Singh, M Tatiya, A Shrivastava… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Telemedicine has the potential to be a good resource for early disease diagnosis, provided
that it is utilised in the correct manner. The Internet of Things (IoT) is a concept that has …

AI & Lean Management Principles Based Pharmaceutical Manufacturing Processes

AK Mehta, P Lanjewar, DS Murthy… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Pharmaceutical manufacturing is a critical industry that demands high precision and
efficiency while adhering to stringent quality standards. This is where artificial intelligence …