A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …
A systematic content review of artificial intelligence and the internet of things applications in smart home
This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology
applied in homes for making them smart, automated, and digitalized in many respects. The …
applied in homes for making them smart, automated, and digitalized in many respects. The …
A survey on deep learning empowered IoT applications
The Internet of Things (IoT) is widely regarded as a key component of the Internet of the
future and thereby has drawn significant interests in recent years. IoT consists of billions of …
future and thereby has drawn significant interests in recent years. IoT consists of billions of …
Energy-efficient artificial intelligence of things with intelligent edge
Artificial Intelligence of Things (AIoT) is an emerging area of future Internet of Things (IoT) to
support intelligent IoT applications. In AIoT, intelligent edge computing technologies …
support intelligent IoT applications. In AIoT, intelligent edge computing technologies …
Deep learning in diverse intelligent sensor based systems
Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …
virtually all fields of science and engineering. The increasing complexity and the large …
Toward artificial emotional intelligence for cooperative social human–machine interaction
The aptitude to identify the emotional states of others and response to exposed emotions is
an important aspect of human social intelligence. Robots are expected to be prevalent in …
an important aspect of human social intelligence. Robots are expected to be prevalent in …
Quality-aware rgbt tracking via supervised reliability learning and weighted residual guidance
RGB and thermal infrared (TIR) data have different visual properties, which make their fusion
essential for effective object tracking in diverse environments and scenes. Existing RGBT …
essential for effective object tracking in diverse environments and scenes. Existing RGBT …
Moving deep learning to the edge
Deep learning is now present in a wide range of services and applications, replacing and
complementing other machine learning algorithms. Performing training and inference of …
complementing other machine learning algorithms. Performing training and inference of …
Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention
Video sentence grounding (VSG) is the task of identifying the segment of an untrimmed
video that semantically corresponds to a given natural language query. While many existing …
video that semantically corresponds to a given natural language query. While many existing …
Deep learning for assistive computer vision
This paper revises the main advances in assistive computer vision recently fostered by deep
learning. To this aim, we first discuss how the application of deep learning in computer …
learning. To this aim, we first discuss how the application of deep learning in computer …