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Machine learning-assisted antenna modelling for realistic assessment of incident power density on non-planar surfaces above 6 GHz.

• Authors : Kapetanović A; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, R. Boškovića 32, 21000 Split, Croatia.; Poljak D

Subjects: Electromagnetic Fields* ; Machine Learning*

• Source: Radiation protection dosimetry [Radiat Prot Dosimetry] 2023 May 24; Vol. 199 (8-9), pp. 826-834.Publisher: Oxford University Press Country of Publication: England NLM ID: 8109958 Publication Model: Print Cited Medium: Internet ISSN:

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Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration-A machine learning approach.

• Authors : Sajib SZK; School of Biological Health System Engineering, Arizona State University, Tempe, Arizona, United States of America.; Chauhan M

Subjects: Algorithms* ; Electric Conductivity* ; Electromagnetic Fields*

• Source: PloS one [PLoS One] 2021 Jul 22; Vol. 16 (7), pp. e0254690. Date of Electronic Publication: 2021 Jul 22 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Lessons learned from the application of machine learning to studies on plant response to radio-frequency.

• Authors : Halgamuge MN; Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria, 3010, Australia. Electronic address: .; Davis D

Subjects: Environmental Exposure* ; Machine Learning* ; Radio Waves*

• Source: Environmental research [Environ Res] 2019 Nov; Vol. 178, pp. 108634. Date of Electronic Publication: 2019 Aug 16.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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A Fusion-Based Machine Learning Approach for Autism Detection in Young Children Using Magnetoencephalography Signals.

• Authors : Barik, Kasturi; Watanabe, Katsumi; Bhattacharya, Joydeep

Subjects: DIAGNOSIS of autism; BIOMARKERS; ELECTROENCEPHALOGRAPHY

• Source: Journal of Autism & Developmental Disorders. Dec2023, Vol. 53 Issue 12, p4830-4848. 19p.

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A Control Interface for Autonomous Positioning of Magnetically Actuated Spheres Using an Artificial Neural Network.

• Authors : Huynh, Victor; Mutawak, Basam; Do, Minh Quan

Subjects: ARTIFICIAL neural networks; MAGNETIC control; ELECTROMAGNETIC fields

• Source: Robotics; Mar2024, Vol. 13 Issue 3, p39, 16p

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Stimulation of soy seeds using environmentally friendly magnetic and electric fields.

• Authors : Dziwulska-Hunek, Agata; Niemczynowicz, Agnieszka; Kycia, Radosław A.

Subjects: MAGNETIC fields; ELECTRIC fields; ELECTROMAGNETIC fields

• Source: Scientific Reports; 10/23/2023, Vol. 13 Issue 1, p1-14, 14p

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A Machine Learning Perspective on Spectral Estimation Techniques for Time Signals From Electromagnetic Field Simulations.

• Authors : Rezende, Rodrigo Silva¹ (AUTHOR) ; Piwonski, Albert¹ (AUTHOR); Schuhmann, Rolf¹ (AUTHOR)

Subjects: ELECTROMAGNETIC fields; RADIAL basis functions; MACHINE learning

• Source: IEEE Transactions on Magnetics. Sep2022, Vol. 58 Issue 9, p1-4. 4p.

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A Data-Science Approach for Creation of a Comprehensive Model to Assess the Impact of Mobile Technologies on Humans.

• Authors : Garvanova, Magdalena; Garvanov, Ivan; Jotsov, Vladimir

Subjects: ARTIFICIAL neural networks; ELECTROMAGNETIC fields; MULTISENSOR data fusion

• Source: Applied Sciences (2076-3417); Mar2023, Vol. 13 Issue 6, p3600, 20p

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"Passive Component Detection Through Applied Electromagnetic Field Against Electromagnetic Interference Test Pattern" in Patent Application Approval Process (USPTO 20240061139).

• Source: Information Technology Newsweekly. 2024, pages. 1590

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Applied Science & Technology Full Text (H.W. Wilson)

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