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Wyszukujesz frazę ""Signal-To-Noise Ratio"" wg kryterium: Temat

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Wyświetlanie 1-20 z 41705
Tytuł:
Anti-Blooming Clocking for Time-Delay Integration CCDs.
Autorzy:
Piechaczek DS; Fraunhofer Institute for Microelectronic Circuits and Systems, Finkenstr. 61, 47057 Duisburg, Germany.
Schrey O; Fraunhofer Institute for Microelectronic Circuits and Systems, Finkenstr. 61, 47057 Duisburg, Germany.
Ligges M; Fraunhofer Institute for Microelectronic Circuits and Systems, Finkenstr. 61, 47057 Duisburg, Germany.
Hosticka B; Fraunhofer Institute for Microelectronic Circuits and Systems, Finkenstr. 61, 47057 Duisburg, Germany.; Department of Electronic Components and Circuits, University of Duisburg-Essen, Bismarckstr. 81, 47057 Duisburg, Germany.
Kokozinski R; Fraunhofer Institute for Microelectronic Circuits and Systems, Finkenstr. 61, 47057 Duisburg, Germany.; Department of Electronic Components and Circuits, University of Duisburg-Essen, Bismarckstr. 81, 47057 Duisburg, Germany.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Oct 04; Vol. 22 (19). Date of Electronic Publication: 2022 Oct 04.
Typ publikacji:
Journal Article
MeSH Terms:
Signal-To-Noise Ratio*
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A Data Set Comparison Method Using Noise Statistics Applied to VUV Spectrum Match Determinations.
Autorzy:
Bell DC; Department of Mechanical Engineering, University of Dayton, 300 College Park, Dayton, Ohio45469, United States.
Boehm RC; Department of Mechanical Engineering, University of Dayton, 300 College Park, Dayton, Ohio45469, United States.
Feldhausen J; Department of Mechanical Engineering, University of Dayton, 300 College Park, Dayton, Ohio45469, United States.
Heyne JS; Department of Mechanical Engineering, University of Dayton, 300 College Park, Dayton, Ohio45469, United States.
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Źródło:
Analytical chemistry [Anal Chem] 2022 Nov 01; Vol. 94 (43), pp. 14861-14868. Date of Electronic Publication: 2022 Oct 20.
Typ publikacji:
Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Signal-To-Noise Ratio*
Datasets as Topic
Czasopismo naukowe
Szczegóły
Tytuł:
Modulation Recognition of Communication Signals Based on Multimodal Feature Fusion.
Autorzy:
Zhang X; School of Information Systems Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China.
Li T; School of Information Systems Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China.
Gong P; School of Information Systems Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China.
Liu R; School of Information Systems Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China.
Zha X; School of Information Systems Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Aug 30; Vol. 22 (17). Date of Electronic Publication: 2022 Aug 30.
Typ publikacji:
Journal Article
MeSH Terms:
Radio*
Signal-To-Noise Ratio*
Neural Networks, Computer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Image Noise Removal in Ultrasound Breast Images Based on Hybrid Deep Learning Technique.
Autorzy:
Vimala BB; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India.
Srinivasan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India.
Mathivanan SK; School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India.
Muthukumaran V; Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur 603203, India.
Babu JC; Department of Electronics and Communications Engineering, Annamacharya Institute of Technology and Sciences, Rajampet 516126, India.
Herencsar N; Department of Telecommunications, Faculty of Electrical and Communication Engineering, Brno University of Technology, Technicka 12, 616 00 Brno, Czech Republic.
Vilcekova L; Faculty of Management, Comenius University Bratislava, Odbojarov 10, 820 05 Bratislava, Slovakia.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 19; Vol. 23 (3). Date of Electronic Publication: 2023 Jan 19.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Humans ; Female ; Ultrasonography, Mammary ; Ultrasonography/methods ; Algorithms ; Neural Networks, Computer ; Signal-To-Noise Ratio
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Impact of CT Photon-Counting Virtual Monoenergetic Imaging on Visualization of Abdominal Arterial Vessels.
Autorzy:
Dillinger, Daniel (AUTHOR)
Overhoff, Daniel (AUTHOR)
Booz, Christian (AUTHOR)
Kaatsch, Hanns L. (AUTHOR)
Piechotka, Joel (AUTHOR)
Hagen, Achim (AUTHOR)
Froelich, Matthias F. (AUTHOR)
Vogl, Thomas J. (AUTHOR)
Waldeck, Stephan (AUTHOR)
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Źródło:
Diagnostics (2075-4418). Mar2023, Vol. 13 Issue 5, p938. 15p.
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A deep learning-based framework for retinal fundus image enhancement.
Autorzy:
Lee KG; Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, South Korea.
Song SJ; Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea.; Biomedical Institute for Convergence (BICS), Sungkyunkwan University, Suwon, South South Korea.
Lee S; School of Electrical Engineering, Kookmin University, Seoul, South Korea.
Yu HG; Sky Eye Clinic, Seoul, South Korea.
Kim DI; HanGil Eye Hospital, Incheon, South Korea.
Lee KM; Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, South Korea.; Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul, South Korea.
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Źródło:
PloS one [PLoS One] 2023 Mar 16; Vol. 18 (3), pp. e0282416. Date of Electronic Publication: 2023 Mar 16 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Humans ; Fundus Oculi ; Neural Networks, Computer ; Signal-To-Noise Ratio ; Image Enhancement ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Validation of a New Coil Array Tailored for Dog Functional Magnetic Resonance Imaging Studies.
Autorzy:
Guran CA; Cognitive Science Hub, Faculty of Psychology, University of Vienna, Vienna, Austria 1090 .; Social, Cognitive and Affective Neuroscience (SCAN) Unit, Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria 1010.
Sladky R; Social, Cognitive and Affective Neuroscience (SCAN) Unit, Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria 1010.
Karl S; Clever Dog Lab, Comparative Cognition, Messerli Research Institute, University of Veterinary Medicine Vienna, Medical University of Vienna, University of Vienna, Vienna, Austria 1210.
Boch M; Social, Cognitive and Affective Neuroscience (SCAN) Unit, Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria 1010.; Department of Cognitive Biology, University of Vienna, Vienna, Austria 1030.
Laistler E; Division MR Physics, Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria 1090.
Windischberger C; High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria 1090.
Huber L; Clever Dog Lab, Comparative Cognition, Messerli Research Institute, University of Veterinary Medicine Vienna, Medical University of Vienna, University of Vienna, Vienna, Austria 1210.
Lamm C; Cognitive Science Hub, Faculty of Psychology, University of Vienna, Vienna, Austria 1090 .; Social, Cognitive and Affective Neuroscience (SCAN) Unit, Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria 1010.
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Źródło:
ENeuro [eNeuro] 2023 Mar 02; Vol. 10 (3). Date of Electronic Publication: 2023 Mar 02 (Print Publication: 2023).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Magnetic Resonance Imaging*/methods
Neuroimaging*/methods
Dogs ; Humans ; Animals ; Signal-To-Noise Ratio ; Brain/diagnostic imaging
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 41705

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