Malignant melanoma classification using deep learning: datasets, performance measurements, challenges and opportunities

A Naeem, MS Farooq, A Khelifi, A Abid - IEEE access, 2020 - ieeexplore.ieee.org
Melanoma remains the most harmful form of skin cancer. Convolutional neural network
(CNN) based classifiers have become the best choice for melanoma detection in the recent …

Understanding socio-technological challenges of smart classrooms using a systematic review

AM Alfoudari, CM Durugbo, FM Aldhmour - Computers & Education, 2021 - Elsevier
Smart classrooms are paradigm innovations for enhanced learning behavior in digital
learning environments. These environments offer benefits for inclusive and virtual learning …

FedCPF: An efficient-communication federated learning approach for vehicular edge computing in 6G communication networks

S Liu, J Yu, X Deng, S Wan - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The sixth-generation network (6G) is expected to achieve a fully connected world, which
makes full use of a large amount of sensitive data. Federated Learning (FL) is an emerging …

Power control based on deep reinforcement learning for spectrum sharing

H Zhang, N Yang, W Huangfu, K Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the current researches, artificial intelligence (AI) plays a crucial role in resource
management for the next generation wireless communication network. However, traditional …

A fine-grained access control and security approach for intelligent vehicular transport in 6G communication system

Z Zhou, A Gaurav, BB Gupta… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The area of intelligent transport systems (ITS) is attracting growing attention because of the
integration of the smart IoT with vehicles that improve user safety and overall travel …

Online VNF lifecycle management in an MEC-enabled 5G IoT architecture

I Sarrigiannis, K Ramantas, E Kartsakli… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
The upcoming fifth generation (5G) mobile communications urge software-defined networks
(SDNs) and network function virtualization (NFV) to join forces with the multiaccess edge …

Service coverage for satellite edge computing

Q Li, S Wang, X Ma, Q Sun, H Wang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Recently, increasing investments in satellite-related technologies make the low earth orbit
(LEO) satellite constellation a strong complement to terrestrial networks. To mitigate the …

Optimal resource allocation and task segmentation in IoT enabled mobile edge cloud

A Mahmood, Y Hong, MK Ehsan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recent development toward innovative applications and technologies like self-driving,
augmented reality, smart cities, and various other applications leads to excessive growth in …

A survey on safeguarding critical infrastructures: Attacks, AI security, and future directions

KJ Raval, NK Jadav, T Rathod, S Tanwar… - International Journal of …, 2024 - Elsevier
Technologies such as artificial intelligence (AI), blockchain, and the Internet of Things (IoT)
have converged in driving the next wave of digital revolution. Amalgamating the …

Heterogeneous blockchain and AI-driven hierarchical trust evaluation for 5G-enabled intelligent transportation systems

X Wang, S Garg, H Lin, G Kaddoum… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The fifth-generation (5G) wireless communication technology enables high-reliability and
low-latency communications for the Intelligent Transportation System (ITS). However, the …