2022
DOI: 10.1007/s00170-022-09660-9
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RETRACTED ARTICLE: Terahertz fading model for wireless nanosensor networks in advanced medical manufacturing technologies

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Cited by 3 publications
(2 citation statements)
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“…267,268 Advanced articial intelligence techniques, including machine learning (ML), could help to boost the performance of this kind of sensors for medical applications, 269 nanotoxicology, 270 neural prosthesis, 271 wireless technology, 272 smart agriculture, 273 environmental monitoring, 274 and advanced medical manufacturing technologies. 275 ML is a pivotal category within the realm of informatics, offering methodologies that enable machines to learn from data autonomously. This capability empowers machines to discern patterns and correlations within datasets, granting them valuable technical utility.…”
Section: Applications Of Machine Learning In the Nanosensors Fieldmentioning
confidence: 99%
See 1 more Smart Citation
“…267,268 Advanced articial intelligence techniques, including machine learning (ML), could help to boost the performance of this kind of sensors for medical applications, 269 nanotoxicology, 270 neural prosthesis, 271 wireless technology, 272 smart agriculture, 273 environmental monitoring, 274 and advanced medical manufacturing technologies. 275 ML is a pivotal category within the realm of informatics, offering methodologies that enable machines to learn from data autonomously. This capability empowers machines to discern patterns and correlations within datasets, granting them valuable technical utility.…”
Section: Applications Of Machine Learning In the Nanosensors Fieldmentioning
confidence: 99%
“…267,268 Advanced artificial intelligence techniques, including machine learning (ML), could help to boost the performance of this kind of sensors for medical applications, 269 nanotoxicology, 270 neural prosthesis, 271 wireless technology, 272 smart agriculture, 273 environmental monitoring, 274 and advanced medical manufacturing technologies. 275…”
Section: Applications Of Machine Learning In the Nanosensors Fieldmentioning
confidence: 99%