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Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
Deep learning in mobile and wireless networking: A survey
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …
services pose unprecedented demands on mobile and wireless networking infrastructure …
Wireless networks design in the era of deep learning: Model-based, AI-based, or both?
This paper deals with the use of emerging deep learning techniques in future wireless
communication networks. It will be shown that the data-driven approaches should not …
communication networks. It will be shown that the data-driven approaches should not …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
Plant phenology recognition using deep learning: Deep-Pheno
Monitoring phenology of agricultural plants is a critical understanding in precision
agriculture. Vital improvements can be achieved with precise detection of phenological …
agriculture. Vital improvements can be achieved with precise detection of phenological …
A survey on requirements of future intelligent networks: solutions and future research directions
The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …
solutions, and current research directions through a survey technique. The background of …
PerceptionNet: A deep convolutional neural network for late sensor fusion
Abstract Human Activity Recognition (HAR) based on motion sensors has drawn a lot of
attention over the last few years, since perceiving the human status enables context-aware …
attention over the last few years, since perceiving the human status enables context-aware …
Medical multimedia big data analysis modeling based on DBN algorithm
Y Yang - IEEE Access, 2020 - ieeexplore.ieee.org
With the development of medical multimedia analysis methods based on DBN, DBN models
have gained the ability to surpass medical experts in the evaluation of multimedia in some …
have gained the ability to surpass medical experts in the evaluation of multimedia in some …
Phenology recognition using deep learning: DeepPheno
Accurate and autonomous real time plant phenoty** is an essential part of modern crop
monitoring and agricultural technologies. Since environmental conditions highly affect a …
monitoring and agricultural technologies. Since environmental conditions highly affect a …
[HTML][HTML] Acoustic sensor data flow for cultural heritage monitoring and safeguarding
Cultural heritage sites, apart from being the tangible link to a country's history and culture,
actively contribute to the national economy, offering a foundation upon which cultural …
actively contribute to the national economy, offering a foundation upon which cultural …