Toward privacy preservation using clustering based anonymization: recent advances and future research outlook

A Majeed, S Khan, SO Hwang - IEEE Access, 2022 - ieeexplore.ieee.org
With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

IoT-based route recommendation for an intelligent waste management system

M Ghahramani, MC Zhou, A Molter… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is a paradigm characterized by a network of embedded sensors
and services. These sensors are incorporated to collect various information, track physical …

Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems

X Huang, J Zhan, W Ding, W Pedrycz - Information Fusion, 2023 - Elsevier
Estimating interest rates is a typical multivariate prediction problem that has garnered
considerable attention in the finance industry. However, the rising complexity of the …

[HTML][HTML] Tales of a city: Sentiment analysis of urban green space in Dublin

M Ghahramani, NJ Galle, C Ratti, F Pilla - Cities, 2021 - Elsevier
Social media services such as TripAdvisor and Foursquare can provide opportunities for
users to exchange their opinions about urban green space (UGS). Visitors can exchange …

Noise-suppressing neural dynamics for time-dependent constrained nonlinear optimization with applications

L Wei, L Jin, X Luo - IEEE Transactions on Systems, Man, and …, 2022 - ieeexplore.ieee.org
Up to date, the existing methods for nonlinear optimization with time-dependent parameters
can be classified into two types: 1) static methods are capable of handling inequality …

Analysis of carbon dioxide emissions from road transport using taxi trips

M Ghahramani, F Pilla - IEEE Access, 2021 - ieeexplore.ieee.org
Transport emissions, including road, rail, air, and marine transportation, account for a large
part of the overall emissions; hence, there is a need to review strategies for managing …

Adaptive DBSCAN LiDAR point cloud clustering for autonomous driving applications

M El Yabroudi, K Awedat, RC Chabaan… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
LiDAR point cloud clustering is an essential part of a wide range of applications such as
object detection, object recognition, and localization. In this paper, we focus on Density …

An ultra-lightweight and ultra-fast abnormal target identification network for transmission line

J Zhang, J Wang, S Zhang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The faults caused by abnormal transmission line targets have become the main reason for
the outage of transmission lines. This has brought great economic losses to society. At …

Spatiotemporal Analysis of mobile phone network based on self-organizing feature map

M Ghahramani, M Zhou, Y Qiao… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Spatiotemporal analysis ranges from simple univariate descriptive statistics to more complex
multivariate analyses. Such an analysis can be used to explore spatial and temporal …

Event-triggered impulsive synchronization of coupled delayed memristive neural networks under dynamic and static conditions

L Liu, H Bao - Neurocomputing, 2022 - Elsevier
This paper aims to address the exponential synchronization issue of coupled delayed
memristive neural networks (CDMNNs) via event-triggered impulsive control (ETIC). To do …