Results 1 to 10 of about 15,047 (284)

Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey [PDF]

Sensors, 2022
Transfer learning is a pervasive technology in computer vision and natural language processing fields, yielding exponential performance improvements by leveraging prior knowledge gained from data with different distributions.
Lauren J. Wong, Alan J. Michaels
doaj   +8 more sources

Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory [PDF]

Physical Review Accelerators and Beams, 2020
We report on the development of machine learning models for classifying C100 superconducting radio-frequency (SRF) cavity faults in the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab. CEBAF is a continuous-wave recirculating linac
Chris Tennant, Adam Carpenter, Tom Powers, Anna Shabalina Solopova, Lasitha Vidyaratne, Khan Iftekharuddin   +5 more
doaj   +8 more sources

An Analysis of Radio Frequency Transfer Learning Behavior

Machine Learning and Knowledge Extraction
Transfer learning (TL) techniques, which leverage prior knowledge gained from data with different distributions to achieve higher performance and reduced training time, are often used in computer vision (CV) and natural language processing (NLP), but ...
Lauren J. Wong, Braeden Muller, Sean McPherson, Alan J. Michaels   +3 more
doaj   +4 more sources

Disaggregated machine learning via in-physics computing at radio frequency. [PDF]

Sci Adv
Modern edge devices, such as cameras, drones, and internet-of-things nodes, rely on machine learning to enable a wide range of intelligent applications. However, deploying machine learning models directly on the often resource-constrained edge devices demands substantial memory footprints and computational power for real-time inference using ...
Gao Z, Vadlamani SK, Sulimany K, Englund D, Chen T.   +4 more
europepmc   +3 more sources

Non-contact lung disease classification via orthogonal frequency division multiplexing-based passive 6G integrated sensing and communication [PDF]

Communications Medicine
Background The screening tools for respiratory diseases typically involve spirometry (for asthma and COPD), CT scans (for interstitial lung disease), chest X-rays (for pneumonia and tuberculosis), and sputum analysis (for tuberculosis). Methods This work
Hasan Mujtaba Buttar, Muhammad Mahboob Ur Rahman, Muhammad Wasim Nawaz, Adnan Noor Mian, Adnan Zahid, Qammer H. Abbasi   +5 more
doaj   +2 more sources

Identifying Tampered Radio-Frequency Transmissions in LoRa Networks Using Machine Learning

Sensors
Long-range networks, renowned for their long-range, low-power communication capabilities, form the backbone of many Internet of Things systems, enabling efficient and reliable data transmission.
Nurettin Selcuk Senol, Amar Rasheed, Mohamed Baza, Maazen Alsabaan   +3 more
doaj   +3 more sources

Machine Learning Techniques Based on Primary User Emulation Detection in Mobile Cognitive Radio Networks

Sensors, 2022
Mobile cognitive radio networks (MCRNs) have arisen as an alternative mobile communication because of the spectrum scarcity in actual mobile technologies such as 4G and 5G networks.
Ernesto Cadena Muñoz, Luis Fernando Pedraza, Cesar Augusto Hernández   +2 more
doaj   +1 more source

Machine Learning Enabled Food Contamination Detection Using RFID and Internet of Things System

Journal of Sensor and Actuator Networks, 2021
This paper presents an approach based on radio frequency identification (RFID) and machine learning for contamination sensing of food items and drinks such as soft drinks, alcohol, baby formula milk, etc.
Abubakar Sharif, Qammer H. Abbasi, Kamran Arshad, Shuja Ansari, Muhammad Zulfiqar Ali, Jaspreet Kaur, Hasan T. Abbas, Muhammad Ali Imran   +7 more
doaj   +1 more source

Space-Time-Frequency Machine Learning for Improved 4G/5G Energy Detection [PDF]

International Journal of Electronics and Telecommunications, 2020
In this paper, the future Fifth Generation (5G New Radio) radio communication system has been considered, coexisting and sharing the spectrum with the incumbent Fourth Generation (4G) Long-Term Evolution (LTE) system.
Małgorzata Wasilewska, Hanna Bogucka
doaj   +1 more source

Construction of Hybrid Dual Radio Frequency RSSI (HDRF-RSSI) Fingerprint Database and Indoor Location Method

Sensors, 2020
Radio frequency communication technology has not only greatly improved public network service, but also developed a new technological route for indoor navigation service.
Haotai Sun, Xiaodong Zhu, Yuanning Liu, Wentao Liu   +3 more
doaj   +1 more source