Smart city applications to promote citizen participation in city management and governance: A systematic review
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' …
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
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 …
been the top concern in smart city development. Short delays in communication between …
Fusion-based supply chain collaboration using machine learning techniques
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 …
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
This review article offers a comprehensive analysis of current developments in the
application of machine learning for cancer diagnostic systems. The effectiveness of machine …
application of machine learning for cancer diagnostic systems. The effectiveness of machine …
[PDF][PDF] Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning.
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 …
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 …
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 …
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.
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 …
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
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 …
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.
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) …
(SLAs). It is important for cloud service providers to provide reliable Quality of service (QoS) …