Urban computing for sustainable smart cities: Recent advances, taxonomy, and open research challenges

IAT Hashem, RSA Usmani, MS Almutairi, AO Ibrahim… - Sustainability, 2023 - mdpi.com
The recent proliferation of ubiquitous computing technologies has led to the emergence of
urban computing that aims to provide intelligent services to inhabitants of smart cities. Urban …

Smart mobility implementation in smart cities: A comprehensive review on state-of-art technologies

RM Savithramma, BP Ashwini… - 2022 4th international …, 2022 - ieeexplore.ieee.org
Population growth and urbanization have posed major challenges in city/urban
management. To provide the basic services to citizens, the cities are becoming smart by …

An improved artificial neural network model for effective diabetes prediction

MM Bukhari, BF Alkhamees, S Hussain, A Gumaei… - …, 2021 - Wiley Online Library
Data analytics, machine intelligence, and other cognitive algorithms have been employed in
predicting various types of diseases in health care. The revolution of artificial neural …

Cloud‐Based Breast Cancer Prediction Empowered with Soft Computing Approaches

F Khan, MA Khan, S Abbas, A Athar… - Journal of healthcare …, 2020 - Wiley Online Library
The developing countries are still starving for the betterment of health sector. The disease
commonly found among the women is breast cancer, and past researches have proven …

Modeling, simulation and optimization of power plant energy sustainability for IoT enabled smart cities empowered with deep extreme learning machine

S Abbas, MA Khan, LE Falcon-Morales… - IEEE …, 2020 - ieeexplore.ieee.org
A smart city is a sustainable and effective metropolitan hub, that offers its residents high
excellence of life through appropriate resource management. Energy management is …

[HTML][HTML] Smart occupancy detection for road traffic parking using deep extreme learning machine

SY Siddiqui, MA Khan, S Abbas, F Khan - Journal of King Saud University …, 2022 - Elsevier
Predicting the location of parking is a long-lasting problem that has ultimate importance in
our daily life. In this paper, artificial neural networks are used to predict the parking location …

[PDF][PDF] Prediction of cloud ranking in a hyperconverged cloud ecosystem using machine learning

N Tabassum, A Ditta, T Alyas, S Abbas… - … Materials & Continua, 2021 - cdn.techscience.cn
Cloud computing is becoming popular technology due to its functional properties and variety
of customer-oriented services over the Internet. The design of reliable and high-quality cloud …

Enabling smart city with intelligent congestion control using hops with a hybrid computational approach

S Abbas, MA Khan, A Athar, SA Shan… - The Computer …, 2022 - academic.oup.com
In a smart city, the subject of the congestion-free traffic has been leading objectives from the
past decade, and many approaches are adopted to make congestion-free roads. These …

Modelling, simulation, and optimization of diabetes type II prediction using deep extreme learning machine

A Rehman, A Athar, MA Khan, S Abbas… - Journal of Ambient …, 2020 - content.iospress.com
Diabetes is among the most common medical issues which people are facing nowadays. It
may cause physical incapacity or even death in some cases. It has two core types, namely …

Towards AI‐based traffic counting system with edge computing

DL Dinh, HN Nguyen, HT Thai… - Journal of Advanced …, 2021 - Wiley Online Library
The recent years have witnessed a considerable rise in the number of vehicles, which has
placed transportation infrastructure and traffic control under tremendous pressure. Yielding …