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Diversified Dynamic Routing for Vision Tasks
Deep learning models for vision tasks are trained on large datasets under the assumption that there exists a universal representation that can be... -
Optimizing relay node placement and routing in WBANs using free search krill herd and harmony search algorithm
Wireless Body Area Network (WBAN) plays an important role in healthcare applications like in medical, non-medical and psychological sector for remote...
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On the revolution of the information network development paradigm
This paper summarizes the evolution logic, technical connotation, presupposition, applicable scope, and existing problems of information networks...
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A fuzzy COPRAS-based decision-making framework for mitigating the impact of vampire sensor nodes in wireless sensor nodes (WSNs)
Wireless sensor network (WSN) represents a multi-hop wireless network which comprises of multiple sensor nodes which cooperates with one another in a...
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Efficient latency-and-energy-aware IoT-fog-cloud task orchestration: novel algorithmic approach with enhanced arithmetic optimization and pattern search
Nowadays, the load on datacenters has become more and more due to the unprecedented growth of diversified data from many IoT devices; hence, resource...
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On Crosstalk Aware Energy and Spectrum Efficient Survivable RSCA Scheme in Offline SDM-EON
This paper proposes an energy and spectrum efficient scheme for routing, spectrum, and core assignment integrated with offline traffic survivability...
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Intelligent Traffic Control
Whether in a wired network or a wireless network, how to carry out effective and reliable traffic control is always discussed. However, most of the... -
Heterogeneous IoT (HetIoT) security: techniques, challenges and open issues
The HetIoT is a new emergent technology widely used to offer QoS to applications such as health monitoring systems, agriculture 4.0, traffic...
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A novel cloud-assisted framework for consumer internet of things based on lanner swarm optimization algorithm in smart healthcare systems
Instantaneous data processing has the potential to enhance scalability, lessen power usage, and permit and improve data presentation in Consumer...
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Development of a smart tourism service system based on the Internet of Things and machine learning
While traveling, people need to utilize smart tourism service systems based on the Internet of Things (IoT) to enhance their journeys’ convenience....
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A deep learning method for recommending university patents to industrial clusters by common technological needs mining
Industrial clusters, geographical concentrations of interconnected companies, aim to achieve technological innovation by acquiring common technology,...
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A systematic review for smart identifier networking
The current Internet has revealed numerous shortcomings due to the limitations in its original design, and is being challenged by the user’s...
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Making Science Ready for Future Emergencies, Crises and Disasters
In this chapter, we illustrate the gaps and opportunities in quantifying COVID-19 for the better handling of COVID-19 and then discuss the... -
Machine Learning Applications of Evolutionary and Metaheuristic Algorithms
Evolutionary algorithms and other meta-heuristic approaches enjoy widespread popularity when dealing with challenging engineering design problems... -
Exploring community detection methods and their diverse applications in complex networks: a comprehensive review
Network science has made tremendous advances, allowing the modeling of complex real-world systems. Although networks include sophisticated community...
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Recent advances in multi-objective grey wolf optimizer, its versions and applications
In this work, a comprehensive review of the multi-objective grey wolf optimizer (MOGWO) is provided. In multi-objective optimization (MO), more than...
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The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review
Unmanned aerial vehicles (UAVs) have become essential in disaster management due to their ability to provide real-time situational awareness and...
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A Survey on Security Issues of SDN Controllers
Software Defined Network (SDN) separates the data layer and control layer of traditional networks, achieving efficient logical centralized control... -
Four vector intelligent metaheuristic for data optimization
Swarm intelligence (SI) algorithms represent a class of Artificial Intelligence (AI) optimization metaheuristics used for solving complex...
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Web 3.0: Developments and Directions of the Future Internet Architecture?
As a promising emerging technology, Web3.0 has become the focus of more and more manufacturers and researchers. Web3.0 is an integration of network...