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 …

[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 …

Adaptive IoT empowered smart road traffic congestion control system using supervised machine learning algorithm

A Ata, MA Khan, S Abbas, MS Khan… - The Computer …, 2021 - academic.oup.com
The concept of smart systems blessed with different technologies can enable many
algorithms used in Machine Learning (ML) and the world of the Internet of Things (IoT). In a …

Modelling, simulation and optimization of diagnosis cardiovascular disease using computational intelligence approaches

SY Siddiqui, A Athar, MA Khan, S Abbas… - Journal of Medical …, 2020 - ingentaconnect.com
Background: To provide ease to diagnose that serious sickness multi-technique model is
proposed. Data Analytics and Machine intelligence are involved in the detection of various …

[PDF][PDF] Intelligent ammunition detection and classification system using convolutional neural network

G Ahmad, S Alanazi, M Alruwaili, F Ahmad… - … , Materials & Continua, 2021 - researchgate.net
Security is a significant issue for everyone due to new and creative ways to commit
cybercrime. The Closed-Circuit Television (CCTV) systems are being installed in offices …

[PDF][PDF] A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction.

M Gollapalli, D Musleh, N Ibrahim, MA Khan… - … , Materials & Continua, 2022 - academia.edu
The fast-paced growth of artificial intelligence applications provides unparalleled
opportunities to improve the efficiency of various systems. Such as the transportation sector …

[HTML][HTML] Prediction of hydrogen storage in dibenzyltoluene empowered with machine learning

A Ali, MA Khan, N Abbas, H Choi - Journal of Energy Storage, 2022 - Elsevier
Hydrogen storage using liquid organic hydrogen carriers (LOHCs) is a promising method.
The data sets for hydrogen storage using dibenzyltoluene (DBT) are considered in this …

[HTML][HTML] A comparative study of ensemble models for predicting road traffic congestion

T Bokaba, W Doorsamy, BS Paul - Applied Sciences, 2022 - mdpi.com
Increased road traffic congestion is due to different factors, such as population and
economic growth, in different cities globally. On the other hand, many households afford …

Traffic signal control with adaptive online-learning scheme using multiple-model neural networks

W Hong, G Tao, H Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This article proposes a new traffic signal control algorithm to deal with unknown-traffic-
system uncertainties and reduce delays in vehicle travel time. Unknown-traffic-system …

[HTML][HTML] Traffic efficiency models for urban traffic management using mobile crowd sensing: A survey

A Ali, N Ayub, M Shiraz, N Ullah, A Gani, MA Qureshi - Sustainability, 2021 - mdpi.com
The population is increasing rapidly, due to which the number of vehicles has increased, but
the transportation system has not yet developed as development occurred in technologies …