Results 11 to 20 of about 11,447 (223)
Informática y Sistemas, 2023 El proceso de extracción de níquel en Cuba se encuentra a cargo de dos plantas procesadoras del mineral, ubicadas en la región nororiental del país.
Daykenis Caballero Feria +1 more
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Machine Learning-Based CSI Feedback With Variable Length in FDD Massive MIMO [PDF]
IEEE Transactions on Wireless Communications, 2022 To fully unlock the benefits of multiple-input multiple-output (MIMO) networks, downlink channel state information (CSI) is required at the base station (BS).
Matteo Nerini +4 more
semanticscholar +1 more source
CAnet: Uplink-Aided Downlink Channel Acquisition in FDD Massive MIMO Using Deep Learning [PDF]
IEEE Transactions on Communications, 2021 In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overhead. In this work, we propose an uplink-aided downlink channel acquisition framework using deep learning to ...
Jiajia Guo, Chao-Kai Wen, Shi Jin
semanticscholar +1 more source
Design of a compact K-band transceiver front-end module
Dianzi Jishu Yingyong, 2023 A compact and low-cost transceiver front-end module is designed for point-to-point radio communication system in this paper. The transceiver module contains one receive channel, one transmit channel, two groups of LO synthesizers in limited area.
Wang Yi
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FDD: a deep learning–based steel defect detectors
The International Journal of Advanced Manufacturing Technology, 2023 Surface defects are a common issue that affects product quality in the industrial manufacturing process. Many companies put a lot of effort into developing automated inspection systems to handle this issue.
Fityanul Akhyar +4 more
semanticscholar +1 more source
On the Relation Between BDDs and FDDs
Information and Computation, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bernd Becker 0001 +2 more
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Downlink CSI Feedback Algorithm With Deep Transfer Learning for FDD Massive MIMO Systems
IEEE Transactions on Cognitive Communications and Networking, 2021 In this paper, a channel state information (CSI) feedback method is proposed based on deep transfer learning (DTL). The proposed method addresses the problem of high training cost of downlink CSI feedback network in frequency division duplexing (FDD ...
Jun Zeng +6 more
semanticscholar +1 more source
Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO [PDF]
IEEE Transactions on Wireless Communications, 2020 This paper shows that deep neural network (DNN) can be used for efficient and distributed channel estimation, quantization, feedback, and downlink multiuser precoding for a frequency-division duplex massive multiple-input multiple-output system in which ...
Foad Sohrabi, Kareem M. Attiah, Wei Yu
semanticscholar +1 more source
A market study of early adopters of fault detection and diagnosis tools for rooftop HVAC systems
Energy Reports, 2022 Retrofit fault detection and diagnosis (FDD) products are undergoing major advances in their ability to optimize the operation and maintenance of building heating, ventilation, and air conditioning (HVAC) systems as a result of advances in artificial ...
Mohammed G. Albayati +4 more
doaj +1 more source
Advances in Applied Energy, 2021 Sensors are the key information source for fault detection and diagnostics (FDD) in buildings. However, sensors are often not properly designed, installed, calibrated, located, and maintained, which negatively impacts FDD performance.
Liang Zhang +9 more
doaj +1 more source