Smart city applications to promote citizen participation in city management and governance: A systematic review

D Bastos, A Fernández-Caballero, A Pereira… - Informatics, 2022 - mdpi.com
This systematic review aimed to provide a comprehensive view of (1) the purposes of
research studies using smart city infrastructures to promote citizen participation in the cities' …

[HTML][HTML] Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques

M Saleem, S Abbas, TM Ghazal, MA Khan… - Egyptian Informatics …, 2022 - Elsevier
Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …

Fusion-based supply chain collaboration using machine learning techniques

TM Ghazal, HM Alzoubi - … & Soft Computing, 2022 - research.skylineuniversity.ac.ae
Supply Chain Collaboration is the network of various entities that work cohesively to make
up the entire process. The supply chain organizations' success is dependent on integration …

Emerging research trends in artificial intelligence for cancer diagnostic systems: A comprehensive review

S Abbas, M Asif, A Rehman, M Alharbi, MA Khan… - Heliyon, 2024 - cell.com
This review article offers a comprehensive analysis of current developments in the
application of machine learning for cancer diagnostic systems. The effectiveness of machine …

[PDF][PDF] Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning.

MA Khan, S Abbas, A Raza, F Khan… - Computers, Materials & …, 2022 - researchgate.net
Progress in understanding multisensory integration in human have suggested researchers
that the integration may result into the enhancement or depression of incoming signals. It is …

DRSIR: A deep reinforcement learning approach for routing in software-defined networking

DM Casas-Velasco, OMC Rendon… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traditional routing protocols employ limited information to make routing decisions, which
leads to slow adaptation to traffic variability and restricted support to the quality of service …

Ultra short-term wind power forecasting based on sparrow search algorithm optimization deep extreme learning machine

G An, Z Jiang, L Chen, X Cao, Z Li, Y Zhao, H Sun - Sustainability, 2021 - mdpi.com
Improving the accuracy of wind power forecasting is an important measure to deal with the
uncertainty and volatility of wind power. Wind speed and wind direction are the most …

[PDF][PDF] Comparative Review of Routing Protocols in MANET for Future Research in Disaster Management.

AM Soomro, MFM Fudzee, M Hussain, HM Saim… - J. Commun., 2022 - academia.edu
A mobile ad hoc network (MANET) is a noncentralized, self-organized, and self-managed
wireless ad hoc network that is used in a specific circumstance. The changing nature of the …

[HTML][HTML] Network intrusion detection in software defined networking with self-organized constraint-based intelligent learning framework

A Bhardwaj, R Tyagi, N Sharma, A Khare… - Measurement …, 2022 - Elsevier
With the advent of internet and communication system, a huge number of opportunities have
been presented to humans, however, its vision will not be easy and comfortable. Instead the …

[PDF][PDF] Intelligent Model for Predicting the Quality of Services Violation.

MA Khan, A Kanwal, S Abbas, F Khan… - … , Materials & Continua, 2022 - researchgate.net
Cloud computing is providing IT services to its customer based on Service level agreements
(SLAs). It is important for cloud service providers to provide reliable Quality of service (QoS) …