A review on deep learning techniques for IoT data

K Lakshmanna, R Kaluri, N Gundluru, ZS Alzamil… - Electronics, 2022 - mdpi.com
Continuous growth in software, hardware and internet technology has enabled the growth of
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

S Sepasgozar, R Karimi, L Farahzadi, F Moezzi… - Applied Sciences, 2020 - mdpi.com
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 …

A survey on deep learning empowered IoT applications

X Ma, T Yao, M Hu, Y Dong, W Liu, F Wang… - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

Energy-efficient artificial intelligence of things with intelligent edge

S Zhu, K Ota, M Dong - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
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 …

Deep learning in diverse intelligent sensor based systems

Y Zhu, M Wang, X Yin, J Zhang, E Meijering, J Hu - Sensors, 2022 - mdpi.com
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 …

Toward artificial emotional intelligence for cooperative social human–machine interaction

BA Erol, A Majumdar, P Benavidez… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
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 …

Quality-aware rgbt tracking via supervised reliability learning and weighted residual guidance

L Liu, C Li, Y **ao, J Tang - Proceedings of the 31st ACM International …, 2023 - dl.acm.org
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 …

Moving deep learning to the edge

MP Véstias, RP Duarte, JT de Sousa, HC Neto - Algorithms, 2020 - mdpi.com
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 …

Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention

Z **ong, D Liu, X Fang, X Qu, J Dong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
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 …

Deep learning for assistive computer vision

M Leo, A Furnari, GG Medioni… - Proceedings of the …, 2018 - openaccess.thecvf.com
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 …