Security and Privacy for Green IoT-based Agriculture: Review, Blockchain solutions, and Challenges [PDF]
, 2020 open access articleThis paper presents research challenges on security and privacy issues in the field of green IoT-based agriculture. We start by describing a four-tier green IoT-based agriculture architecture and summarizing the existing surveys that ...
Derhab, Abdelouahid +4 more
core +1 more source
Adaptive Intelligent Super-Twisting Control of Dynamic System
IEEE Access, 2022 This study develops an adaptive Super-Twisting sliding mode control (STSMC) approach using an output feedback fuzzy neural network (OFFNN) for dynamic systems.
Qi Pan, Juntao Fei, Yuncan Xue
doaj +1 more source
Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems, cyber risk at the edge [PDF]
, 2020 The Internet of Things (IoT) triggers new types of cyber risks. Therefore, the integration of new IoT devices and services requires a self-assessment of IoT cyber security posture.
Ani, Uchenna +9 more
core +3 more sources
A Survey on Theories and Applications for Self-Driving Cars Based on Deep Learning Methods
Applied Sciences, 2020 Self-driving cars are a hot research topic in science and technology, which has a great influence on social and economic development. Deep learning is one of the current key areas in the field of artificial intelligence research.
Jianjun Ni +5 more
doaj +1 more source
Enabling IoT ecosystems through platform interoperability [PDF]
, 2017 Today, the Internet of Things (IoT) comprises vertically oriented platforms for things. Developers who want to use them need to negotiate access individually and adapt to the platform-specific API and information models.
Anicic, Darko +9 more
core +2 more sources
An Improved Cooperative Control Method for Hybrid Unmanned Aerial-Ground System in Multitasks
International Journal of Aerospace Engineering, 2020 The cooperative control in complex multitasks using unmanned aerial vehicle and unmanned ground vehicle (UAV/UGV) is an important and challenging issue in the multirobot cooperative field.
Jianjun Ni +3 more
doaj +1 more source
IEEE Access, 2020 Support vector regression (SVR) is one of the most powerful and widely used machine learning algorithms regarding prediction. The kernel type, penalty factor and other parameters influence the efficiency and performance of SVR deeply. The optimization of
Weidong Cao, Xin Liu, Jianjun Ni
doaj +1 more source
Anomaly Detection and Classification in Predictive Maintenance Tasks with Zero Initial Training
IoT, 2021 The Fourth Industrial Revolution has led to the adoption of novel technologies and methodologies in factories, making these more efficient and productive.
Filippo Morselli +4 more
doaj +1 more source
Tinier-YOLO: A Real-Time Object Detection Method for Constrained Environments
IEEE Access, 2020 Deep neural networks (DNNs) have shown prominent performance in the field of object detection. However, DNNs usually run on powerful devices with high computational ability and sufficient memory, which have greatly limited their deployment for ...
Wei Fang, Lin Wang, Peiming Ren
doaj +1 more source
Achieving Ethical Algorithmic Behaviour in the Internet of Things: A Review
IoT, 2021 The Internet of Things is emerging as a vast, inter-connected space of devices and things surrounding people, many of which are increasingly capable of autonomous action, from automatically sending data to cloud servers for analysis, changing the ...
Seng W. Loke
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