Results 31 to 40 of about 167,869,504 (192)

Multilayer Backbones for Internet of Battlefield Things

, 2021
The Internet of Battlefield Things is a newly born cyberphysical system and, even though it shares a lot with the Internet of Things and with ad hoc networking, substantial research is required to cope with its scale and peculiarities.
Dimitrios Papakostas, Evangelia Fragkou, Dimitrios Katsaros, Papakostas D., Kasidakis T., Fragkou E., Katsaros D., Theodoros Kasidakis, Fragkou E., Papakostas D., Kasidakis T., Katsaros D.   +5 more
core   +1 more source

SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep learning methods have recently made substantial advances in polarimetric synthetic aperture radar (PolSAR) image classification. However, supervised training relying on massive labeled samples is one of its major limitations, especially for PolSAR ...
Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He   +5 more
doaj   +1 more source

Satellite Based Localization of IoT Devices Using Joint Doppler and Angle-of-Arrival Estimation

Remote Sensing, 2023
While global navigation satellite system (GNSS) technologies have always been the go-to solution for localization problems, they may not be the best choice for some Internet-of-Things (IoT) applications due to the incurred power consumption and cost.
Iza S. Mohamad Hashim, Akram Al-Hourani
doaj   +1 more source

Spiking Neural Networks for Detecting Satellite-Based Internet-of-Things Signals

IEEE Transactions on Aerospace and Electronic Systems, 2023
The obtained results demonstrate a significantly enhanced detection performance under heavy interference conditions when employing spiking-based and deep learning detection techniques, as opposed to traditional baseline matched-filter methods. Although spiking-based detection approaches exhibit error rates comparable to those of deep learning ...
Kosta Dakic, Bassel Al Homssi, Sumeet Walia, Akram Al-Hourani   +3 more
openaire   +3 more sources

Spatiotemporal hybrid deep learning for estimating and analyzing carbon stocks: a case study in Jiangsu province, China

International Journal of Digital Earth
With the continuous rise in global carbon dioxide concentrations, accurately assessing regional carbon stocks has become essential for achieving carbon neutrality. Traditional models, reliant on extensive experimental data, are costly and impractical for
Lizhi Miao, Jvmin Wang, Kaiwen Wu, Heng Xu, Xiying Sun, Gang Lu, Mei-Po Kwan   +6 more
doaj   +1 more source

Discussion of 5G satellite dual-mode terminal requirement and application in the integration communication scenario of satellite and UTRAN

Dianxin kexue, 2022
The research mainly starts from the development trend of 5G+ satellite integration, and conducts research and analysis on typical domestic and foreign satellite Internet of things/internet solutions, and then leads to application scenarios and services ...
Wenzhe WANG, Gang AN, Xin LI, Weiqiang ZHANG, Zhenhua LIU, Nianqin ZHENG, Shengwei CHEN, Wendong ZHAO, Zixiang DI, Zhaojie GU   +9 more
doaj   +2 more sources

Integrating Scenario Forecasting with SPNN-AtGNNWR for China’s Carbon Peak Pathway Projection

Land
As the world’s leading carbon emitter, China’s ability to reach its pledged carbon peak by 2030 is pivotal for its own green transition and global climate governance.
Lizhi Miao, Heng Xu, Xinkai Feng, Jvmin Wang, Sheng Tang, Xinxin Zhou, Xiying Sun, Gang Lu, Mei-Po Kwan   +8 more
doaj   +1 more source

Beyond 'Happy Apps' : Using the Internet of Things to Support Emotional Health

, 2016
Emotions and physical health are strongly related. A first step towards emotional well-being is to monitor, understand and reflect upon one’s feelings and emotions. A number of personal emotion-tracking applications are available today.
Russo, Nancy L, Eriksson, Jeanette,, Russo, Nancy L,, Jeanette Eriksson, Eriksson, Jeanette, Nancy L. Russo   +5 more
core   +1 more source

Internet of Things and Cyber–Physical Systems

, 2022
The area of the Internet of Things (IoT) and cyber–physical systems (CPS) has created a great opportunity for interdisciplinary research concerning both fundamental theoretical studies as well as their application in practice [...
Iwona Grobelna
core   +1 more source

A Role-Based Approach for Orchestrating Emergent Configurations in the Internet of Things

, 2017
The Internet of Things (IoT) is envisioned as a global net- work of connected things enabling ubiquitous machine-to-machine (M2M) communication. With estimations of billions of sensors and devices to be connected in the coming years, the IoT has been ...
Spalazzese, Romina,, Mihailescu, Radu-Casian; id_orcid, Heyer, Clint, Davidsson, Paul,, Mihailescu, Radu-Casian,, Spalazzese, Romina, Mihailescu, Radu-Casian, Davidsson, Paul, Heyer, Clint,   +8 more
core   +1 more source