Enabling Technologies for Next-Generation Smart Cities: A Comprehensive Review and Research Directions

SA Ali, SA Elsaid, AA Ateya, M ElAffendi, AAA El-Latif - Future Internet, 2023 - mdpi.com
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 …

Deep generative model and its applications in efficient wireless network management: A tutorial and case study

Y Liu, H Du, D Niyato, J Kang, Z **ong… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
With the phenomenal success of diffusion models and ChatGPT, deep generation models
(DGMs) have been experiencing explosive growth. Not limited to content generation, DGMs …

Forecasting bitcoin price by tuned long short term memory model

A Petrovic, L Jovanovic, M Zivkovic… - … on innovation in …, 2023 - atlantis-press.com
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 …

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 …

The xgboost approach tuned by tlb metaheuristics for fraud detection

A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com
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 …

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 …

Delay reduction in MTC using SDN based offloading in Fog computing

Z Arefian, MR Khayyambashi, N Movahhedinia - Plos one, 2023 - journals.plos.org
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 …

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 …

Intrusion detection by xgboost model tuned by improved multi-verse optimizer

A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com
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 …

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 …