Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Nivedita Daimiwal"'
Autor:
Revati Shriram, Nivedita Daimiwal
Publikováno v:
Graduate Research in Engineering and Technology. :50-53
The presented case study based activity supports collaboration between students. Case study based activity consists of a story of an organization and how the problem is solved by using planning strategy, coordination and using any advance system for
Autor:
Vaishnavi P. Shinde, Vaishnavi R. Shinde, Pratiksha Taru, Vaishnavi Jadhav, Revati Shriram, Nivedita Daimiwal
Publikováno v:
2023 7th International Conference on Trends in Electronics and Informatics (ICOEI).
Publikováno v:
2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE).
Publikováno v:
Smart Sensors Measurement and Instrumentation ISBN: 9789811969126
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af7a2e420f668b5bf326aab8f210a9c6
https://doi.org/10.1007/978-981-19-6913-3_8
https://doi.org/10.1007/978-981-19-6913-3_8
Autor:
Nivedita Daimiwal, Revati Shriram
Publikováno v:
Biomedical and Pharmacology Journal. 13:1195-1205
Autor:
Nivedita Daimiwal, Revati Shriram
Publikováno v:
Biomedical & Pharmacology Journal. 12:1193-1200
Functional Magnetic Resonance Imaging (fMRI) is a non invasive modality to detect structure and function of the brain. Brain functions for various activities like motor, sensory, speech and memory process are detected using fMRI modality. This paper
Autor:
Revati Shriram, Nivedita Daimiwal
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811603358
The cranial PPG signal is acquired using reflectance-type cranial photoplethysmography (CPPG) sensor on prefrontal lobe for various emotions by detecting the blood volume change (plethysmography effect). First step is the development of reflectance-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::974f294720fa08ed9727bd20f8d44708
https://doi.org/10.1007/978-981-16-0336-5_26
https://doi.org/10.1007/978-981-16-0336-5_26
Autor:
Revati Shriram, Nivedita Daimiwal
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811603358
For better understanding of brain functions, more than one type brain signals has to be studied so that information transfer between the brain lobes can be analyzed in detail. A very small amplitude (in micro-volts) electrical signal acquired from br
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b96331ff4b2b5e18408abf63a90520ff
https://doi.org/10.1007/978-981-16-0336-5_18
https://doi.org/10.1007/978-981-16-0336-5_18
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 10:57-68
Publikováno v:
Smart Intelligent Computing and Applications ISBN: 9789811319204
In endeavor toward better understanding of brain functions, the analysis of information transfer between the various brain lobes plays a crucial role. Electroencephalogram (EEG) is an electrical brain signal in microvolts, which provides unique and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cb054d6c0aad2279f65147ceda0cc5a
https://doi.org/10.1007/978-981-13-1921-1_61
https://doi.org/10.1007/978-981-13-1921-1_61