Enabling Technologies for Next-Generation Smart Cities: A Comprehensive Review and Research Directions
The concept of smart cities, which aim to enhance the quality of urban life through innovative
technologies and policies, has gained significant momentum in recent years. As we …
technologies and policies, has gained significant momentum in recent years. As we …
Deep generative model and its applications in efficient wireless network management: A tutorial and case study
With the phenomenal success of diffusion models and ChatGPT, deep generation models
(DGMs) have been experiencing explosive growth. Not limited to content generation, DGMs …
(DGMs) have been experiencing explosive growth. Not limited to content generation, DGMs …
Forecasting bitcoin price by tuned long short term memory model
The interest for cryptocurrencies is high and hence this work focuses on providing a practical
real-world application of the swarm metaheuristics and long short term memory model …
real-world application of the swarm metaheuristics and long short term memory model …
A Review on FoG Computing in 5G Wireless Technologies: Research Challenges, Issues and Solutions
B Premalatha, P Prakasam - Wireless Personal Communications, 2024 - Springer
Fog computing is the most powerful technique for real-time data gathering, processing,
decision-making, storage, and operation. Fog computing architecture is referred to the …
decision-making, storage, and operation. Fog computing architecture is referred to the …
The xgboost approach tuned by tlb metaheuristics for fraud detection
The recent pandemic had a major impact on online transactions. With this trend, credit card
fraud increased. For the solution to this problem the authors explore existing solutions and …
fraud increased. For the solution to this problem the authors explore existing solutions and …
Artificial neural network tuning by improved sine cosine algorithm for healthcare 4.0
M Gajevic, N Milutinovic, J Krstovic… - Proceedings of the …, 2023 - books.google.com
This paper explores classification of datasets for Healthcare 4.0 using artificial neural
networks which are tuned by improved sine cosine algorithm (SCA). Healthcare 4.0 themes …
networks which are tuned by improved sine cosine algorithm (SCA). Healthcare 4.0 themes …
Delay reduction in MTC using SDN based offloading in Fog computing
Fog computing (FC) brings a Cloud close to users and improves the quality of service and
delay services. In this article, the convergence of FC and Software-Defined-Networking …
delay services. In this article, the convergence of FC and Software-Defined-Networking …
Efficient and secure service function chain deployment method for delay optimization in air traffic information network
Y Yang, B Wang, R Guo, J Tian, P Luo, D Li, X Li - Scientific Reports, 2024 - nature.com
The air traffic information network is fundamental for ensuring the efficient and safe
operation of flights. However, with the increasing demands of air traffic services, the rigidity …
operation of flights. However, with the increasing demands of air traffic services, the rigidity …
Intrusion detection by xgboost model tuned by improved multi-verse optimizer
Artificial intelligence and internet of things (IoT) fields have contributed to the flourishment of
the industry 4.0 concept. The main benefits include the improvements in terms of device …
the industry 4.0 concept. The main benefits include the improvements in terms of device …
Multi-probability sampling-based detection of malicious switching nodes in SDN
J **ao, C Chang, P Wu, L Yuan - Computers & Security, 2025 - Elsevier
Addressing the potential risk of malicious exploitation of switching devices in software-
defined networks (SDN), this paper proposes a multi-probability sampling-based detection …
defined networks (SDN), this paper proposes a multi-probability sampling-based detection …