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Robust Vector BOTDA Signal Processing with Probabilistic Machine Learning.

• Authors : Venketeswaran A; National Energy Technology Laboratory, 626 Cochrans Mill Road, Pittsburgh, PA 15236, USA.; Lalam N

Subjects: Machine Learning* ; Optical Devices*; Models, Statistical

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jun 30; Vol. 23 (13). Date of Electronic Publication: 2023 Jun 30.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Machine Learning and Graph Signal Processing Applied to Healthcare: A Review.

• Authors : Calazans, Maria Alice Andrade¹ (AUTHOR) ; Ferreira, Felipe A. B. S.² (AUTHOR) ; Santos, Fernando A. N.³ (AUTHOR)

• Source: Bioengineering (Basel). Jul2024, Vol. 11 Issue 7, p671. 28p.

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Signal Processing and Machine Learning for Gas Sensors: Gas Source Localization with a Nano-Drone

• Authors : Burgués Calderón, Javier; University/Department: Universitat de Barcelona. Facultat de Física; ...

Subjects: Detectors; Detectores; Processament de senyals

• Source: TDX (Tesis Doctorals en Xarxa)

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Novel Descriptors and Digital Signal Processing- Based Method for Protein Sequence Activity Relationship Study.

• Authors : Fontaine NT; PEACCEL, Protein Engineering ACCELerator, 6 Square Albin Cachot, box 42, 75013 Paris, France.; Cadet XF

Subjects: Machine Learning* ; Quantitative Structure-Activity Relationship*; Sequence Analysis, Protein/Sequence Analysis, Protein/Sequence Analysis, Protein/*methods

• Source: International journal of molecular sciences [Int J Mol Sci] 2019 Nov 11; Vol. 20 (22). Date of Electronic Publication: 2019 Nov 11.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067

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Understanding health management and safety decisions using signal processing and machine learning.

• Authors : Aufegger L; Patient Safety Translational Research Centre, Imperial College London, London, UK. .; Bicknell C

Subjects: Machine Learning* ; Patient Care Team* ; Patient Safety*

• Source: BMC medical research methodology [BMC Med Res Methodol] 2019 Jun 13; Vol. 19 (1), pp. 121. Date of Electronic Publication: 2019 Jun 13.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels.

• Authors : Randhawa GS; Department of Computer Science, University of Western Ontario, London, ON, Canada. .; Hill KA

Subjects: Genome, Bacterial* ; Genome, Mitochondrial* ; Genome, Viral*

• Source: BMC genomics [BMC Genomics] 2019 Apr 03; Vol. 20 (1), pp. 267. Date of Electronic Publication: 2019 Apr 03.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164

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Review of islanding detection using advanced signal processing techniques.

• Authors : Vadlamudi, Bindu¹ (AUTHOR) ; Anuradha, T.² (AUTHOR)

• Source: Electrical Engineering. Feb2024, Vol. 106 Issue 1, p181-202. 22p.

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Signal Processing and Machine Learning as a Tool for Identifying Idling Noises of Different Circular Saw Blades.

• Authors : Miric-Milosavljevic, Mira¹; Svrzic, Srdjan¹ ; Nikolić, Zoran²

• Source: BioResources. 2024, Vol. 19 Issue 1, p1744-1756. 13p.

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Utilizing Deep Learning Algorithms for Signal Processing in Electrochemical Biosensors: From Data Augmentation to Detection and Quantification of Chemicals of Interest.

• Authors : Esmaeili, Fatemeh^1,2 (AUTHOR) ; Cassie, Erica^2,3 (AUTHOR) ; Nguyen, Hong Phan T.^2,3 (AUTHOR)

• Source: Bioengineering (Basel). Dec2023, Vol. 10 Issue 12, p1348. 40p.

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Machine learning and signal processing assisted differential mobility spectrometry (DMS) data analysis for chemical identification

• Authors : Chakraborty, Pranay; Rajapakse, Maneeshin Y; McCartney, Mitchell M

Subjects: Analytical Chemistry; Chemical Sciences; Data Analysis

• Source: Analytical Methods. 14(34)

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