Smart home: Integrating internet of things with web services and cloud computing
…, T Abiodun, T Hamouda, J Zhou… - 2013 IEEE 5th …, 2013 - ieeexplore.ieee.org
Smart Home minimizes user's intervention in monitoring home settings and controlling
home appliances. This paper presents an approach to the development of Smart Home …
home appliances. This paper presents an approach to the development of Smart Home …
Cloudthings: A common architecture for integrating the internet of things with cloud computing
J Zhou, T Leppanen, E Harjula… - Proceedings of the …, 2013 - ieeexplore.ieee.org
The Internet of Things presents the user with a novel means of communicating with the Web
world through ubiquitous object-enabled networks. Cloud Computing enables a convenient, …
world through ubiquitous object-enabled networks. Cloud Computing enables a convenient, …
5G-smart diabetes: Toward personalized diabetes diagnosis with healthcare big data clouds
Recent advances in wireless networking and big data technologies, such as 5G networks,
medical big data analytics, and the Internet of Things, along with recent developments in …
medical big data analytics, and the Internet of Things, along with recent developments in …
LSTM-based analysis of industrial IoT equipment
Industrial Internet of Things (IIoT) is producing massive data which are valuable for knowing
running status of the underlying equipment. However, these data involve various operation …
running status of the underlying equipment. However, these data involve various operation …
A survey on federated learning and its applications for accelerating industrial internet of things
Federated learning (FL) brings collaborative intelligence into industries without centralized
training data to accelerate the process of Industry 4.0 on the edge computing level. FL solves …
training data to accelerate the process of Industry 4.0 on the edge computing level. FL solves …
A class-imbalanced heterogeneous federated learning model for detecting icing on wind turbine blades
Wind farms are typically located at high latitudes, resulting in a high risk of blade icing. Data-driven
approaches offer promising solutions for blade icing detection, but they rely on a …
approaches offer promising solutions for blade icing detection, but they rely on a …
Emotion recognition from Chinese speech for smart affective services using a combination of SVM and DBN
Accurate emotion recognition from speech is important for applications like smart health care,
smart entertainment, and other smart services. High accuracy emotion recognition from …
smart entertainment, and other smart services. High accuracy emotion recognition from …
Multi-source data fusion using deep learning for smart refrigerators
Food recognition is one of the core functions for a smart refrigerator. But there are many
challenges for accurate food recognition due to reasons of too many kinds of food inside the …
challenges for accurate food recognition due to reasons of too many kinds of food inside the …
Revisiting digital twins: Origins, fundamentals, and practices
J Zhou, S Zhang, M Gu - Frontiers of Engineering Management, 2022 - Springer
The digital twins (DT) has quickly become a hot topic since it was proposed. It appears in all
kinds of commercial propaganda and is widely quoted by academic circles. However, the …
kinds of commercial propaganda and is widely quoted by academic circles. However, the …
RCNN-based foreign object detection for securing power transmission lines (RCNN4SPTL)
This paper proposes a new deep learning network - RCNN4SPTL (RCNN -based Foreign
Object Detection for Securing Power Transmission lines), which is suitable for detecting …
Object Detection for Securing Power Transmission lines), which is suitable for detecting …