Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
Artificial intelligence in the IoT era: A review of edge AI hardware and software
T Sipola, J Alatalo, T Kokkonen… - 2022 31st Conference …, 2022 - ieeexplore.ieee.org
The modern trend of moving artificial intelligence computation near to the origin of data
sources has increased the demand for new hardware and software suitable for such …
sources has increased the demand for new hardware and software suitable for such …
ECNN: evaluating a cluster-neural network model for city innovation capability
J Pei, K Zhong, J Li, J Xu, X Wang - Neural Computing and Applications, 2022 - Springer
Innovation capability is a great driving force leading city development. It is also important to
evaluate the innovation capability of a city for city development. In this paper, we propose an …
evaluate the innovation capability of a city for city development. In this paper, we propose an …
Blockchain-based collaborative edge intelligence for trustworthy and real-time video surveillance
Trustworthy and real-time video surveillance aims to analyze the live camera streams in a
privacy-preserving manner for the decision-making of various advanced services, such as …
privacy-preserving manner for the decision-making of various advanced services, such as …
How to mitigate DDoS intelligently in SD-IoV: A moving target defense approach
Software defined Internet of Vehicles (SD-IoV) is an emerging paradigm for accomplishing
Industrial Internet of Things (IIoT). Unfortunately, SD-IoV still faces security challenges …
Industrial Internet of Things (IIoT). Unfortunately, SD-IoV still faces security challenges …
C-fdrl: Context-aware privacy-preserving offloading through federated deep reinforcement learning in cloud-enabled IoT
Recently, artificial intelligence approaches are widely suggested to optimize numerous
offloading task-scheduling purposes. However, they confront difficulties in maintaining data …
offloading task-scheduling purposes. However, they confront difficulties in maintaining data …
Med-BERT: A pretraining framework for medical records named entity recognition
N Liu, Q Hu, H Xu, X Xu, M Chen - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A large amount of data is generated every day with the development of Internet medical
care, which is of great significance for the clinical decision support system and medical real …
care, which is of great significance for the clinical decision support system and medical real …
Blockchain-based federated learning with checksums to increase security in internet of things solutions
Federated learning is becoming a practical solution for machine learning (ML) in industry.
This is due to the possibility of implementing artificial intelligence (AI) systems and training …
This is due to the possibility of implementing artificial intelligence (AI) systems and training …
A new deep convolutional network for effective hyperspectral unmixing
Hyperspectral unmixing extracts pure spectral constituents (endmembers) and their
corresponding abundance fractions from remotely sensed scenes. Most traditional …
corresponding abundance fractions from remotely sensed scenes. Most traditional …
The dichotomy of cloud and iot: Cloud-assisted iot from a security perspective
In recent years, the existence of a significant cross-impact between Cloud computing and
Internet of Things (IoT) has lead to a dichotomy that gives raise to Cloud-Assisted IoT …
Internet of Things (IoT) has lead to a dichotomy that gives raise to Cloud-Assisted IoT …