Congestion prediction for smart sustainable cities using IoT and machine learning approaches

S Majumdar, MM Subhani, B Roullier, A Anjum… - Sustainable Cities and …, 2021 - Elsevier
Congestion on road networks has a negative impact on sustainability in many cities through
the exacerbation of air pollution. Smart congestion management allows road users to avoid …

A systematic review on the engineering of software for ubiquitous systems

AS Guinea, G Nain, Y Le Traon - Journal of Systems and Software, 2016 - Elsevier
Context: Software engineering for ubiquitous systems has experienced an important and
rapid growth, however the vast research corpus makes it difficult to obtain valuable …

[HTML][HTML] Prediction and modeling of traffic flow of human-driven vehicles at a signalized road intersection using artificial neural network model: A South African road …

IO Olayode, LK Tartibu, MO Okwu - Transportation Engineering, 2021 - Elsevier
In recent years, an increasing number of models and algorithms based on time series
prediction and machine learning have been applied to traffic flow prediction, with good …

Digital Twinning remote laboratories for online practical learning

C Palmer, B Roullier, M Aamir, F McQuade… - Production & …, 2022 - Taylor & Francis
The COVID19 pandemic has demonstrated a need for remote learning and virtual learning
applications such as virtual reality (VR) and tablet-based solutions. Creating complex …

A deep learning based explainable control system for reconfigurable networks of edge devices

PM Dassanayake, A Anjum, AK Bashir… - … on Network Science …, 2021 - ieeexplore.ieee.org
Edge devices that operate in real-world environments are subjected to unpredictable
conditions caused by environmental forces such as wind and uneven surfaces. Since most …

Virtual reality based digital twin system for remote laboratories and online practical learning

C Palmer, B Roullier, M Aamir, L Stella… - Advances in …, 2021 - ebooks.iospress.nl
There is a need for remote learning and virtual learning applications such as virtual reality
(VR) and tablet-based solutions which the current pandemic has demonstrated. Creating …

Recent advances and challenges in human-centric multimedia mobile cloud computing

E Cerqueira, E Lee, JT Weng, JH Lim… - 2014 International …, 2014 - ieeexplore.ieee.org
The increasing usage of cloud computing, along with the proliferation of mobile devices and
the demand for multimedia services, are changing the life style of users and creating new …

Edge-enhanced analytics via latent space dimensionality reduction

MU Ndubuaku, MK Ali, A Anjum, A Liotta… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
With the Internet of Things technology, almost any remote sensing devices, wearables, and
smart objects are equipped to transmit large volumes of data in continuous streams. In …

Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks

MU Yaseen, A Anjum, G Fortino, A Liotta, A Hussain - Pattern Recognition, 2022 - Elsevier
Object recognition from live video streams comes with numerous challenges such as the
variation in illumination conditions and poses. Convolutional neural networks (CNNs) have …

Power profiling of context aware systems: a contemporary analysis and framework for power conservation

U Mahmud, S Hussain, S Yang - … Communications and Mobile …, 2018 - Wiley Online Library
With the advent of smart, inexpensive devices and a highly connected world, a need for
smart service discovery, delivery, and adaptation has appeared. This interconnection is …