Ronaldus Maria Aarts focuses on Speech recognition, Artificial intelligence, Acoustics, Signal and Sleep Stages. As a member of one scientific family, he mostly works in the field of Speech recognition, focusing on Cohen's kappa and, on occasion, Slow-wave sleep. His Artificial intelligence research incorporates themes from Respiratory rate, Computer vision and Pattern recognition.
His Acoustics study combines topics in areas such as Audio signal processing, Audio signal flow, Audio signal and Microphone. Ronaldus Maria Aarts interconnects Motion sensors, Position sensor and Collar in the investigation of issues within Signal. The concepts of his Sleep Stages study are interwoven with issues in Cardiology, Internal medicine and Non-rapid eye movement sleep.
Ronaldus Maria Aarts spends much of his time researching Acoustics, Signal, Artificial intelligence, Speech recognition and Loudspeaker. His Acoustics research includes elements of Electronic engineering, Audio frequency and Audio signal. The study incorporates disciplines such as Electroencephalography, Computer vision and Pattern recognition in addition to Artificial intelligence.
His research integrates issues of Actigraphy, Slow-wave sleep, Linear discriminant analysis and Sleep Stages, Polysomnography in his study of Speech recognition. His Polysomnography study combines topics from a wide range of disciplines, such as Heart rate variability and Non-rapid eye movement sleep. His Loudspeaker research includes themes of Sound recording and reproduction and Active listening.
His scientific interests lie mostly in Artificial intelligence, Electroencephalography, Photoplethysmogram, Cardiology and Internal medicine. His work deals with themes such as Signal, Computer vision and Pattern recognition, which intersect with Artificial intelligence. Ronaldus Maria Aarts has researched Electroencephalography in several fields, including Support vector machine, Audiology and Brain development.
His study focuses on the intersection of Audiology and fields such as Cardiorespiratory fitness with connections in the field of Obstructive sleep apnea and Speech recognition. His studies deal with areas such as Blood pressure and Accelerometer as well as Photoplethysmogram. His Heart rate variability study integrates concerns from other disciplines, such as Sleep Stages and Non-rapid eye movement sleep.
Ronaldus Maria Aarts mostly deals with Polysomnography, Photoplethysmogram, Heart rate variability, Heart rate and Blood pressure. Ronaldus Maria Aarts works on Polysomnography which deals in particular with Sleep Stages. His research investigates the connection between Photoplethysmogram and topics such as Accelerometer that intersect with problems in Filter, Algorithm, Signal and Periodic function.
His biological study spans a wide range of topics, including Artificial neural network and Artificial intelligence. His Artificial intelligence research integrates issues from Gold standard, Machine learning, Sleep architecture and Pattern recognition. His work carried out in the field of Speech recognition brings together such families of science as Slow-wave sleep, Linear discriminant analysis, Cohen's kappa and Standard deviation.
Danhua Zhu;Jordi Bieger;Gary Garcia Molina;Ronald M. Aarts
Xi Long;Bin Yin;Ronald M. Aarts
Erik R. Larsen;Ronald M. Aarts
P Pedro Fonseca;X Xi Long;X Xi Long;M Mustafa Radha;R Reinder Haakma
Mustafa Radha;Pedro Fonseca;Pedro Fonseca;Arnaud Moreau;Marco Ross
Mark T. Johnson;Galileo J. A. Destura;Ronaldus M. Aarts;Alan G. Knapp
Roy Irwan;Ronald M. Aarts
Richard M. Moroney;Larry Nielsen;Suzanne M. Kavanagh;Ronaldus M. Aarts
Ronaldus Maria Aarts;Stephanus Paulus Straetemans
Igor A. Nagorski;Jan A. D. Nesvadba;Ronaldus M. Aarts
X Xi Long;P Pedro Fonseca;J Foussier;R Reinder Haakma
T M E Nijsen;R M Aarts;P J M Cluitmans;P A M Griep
Ronaldus Maria Aarts;Roy Irwan
Mustafa G. Radha;Pedro Fonseca;Pedro Fonseca;Arnaud Moreau;Marco Ross
X Xi Long;X Xi Long;J Foussier;P Pedro Fonseca;P Pedro Fonseca;R Reinder Haakma
Ronaldus Aarts
Frank Wartena;Ronaldus Maria Aarts
Anmin Jin;Bin Yin;Geert Morren;Haris Duric
Ronald M. Aarts
Emmanuel Smits;Ronaldus Aarts
Alberto G. Bonomi;Fons Schipper;Linda M. Eerikäinen;Jenny Margarito
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens doors to many related disciplines, many of which are now accessible entirely online. If you’re interested in the intersection of technology and sustainable infrastructure, consider an online environmental engineering degree science and engineering program, which combines computing skills with environmental solutions.
Those drawn to designing machines and systems can pursue an online degree for mechanical engineering. For students fascinated by the fundamental laws of nature, enrolling in a physics degree online is an excellent choice that links theoretical understanding to computational problem-solving.
Data-driven industries are booming, making data science programs especially valuable. These online offerings enable you to develop advanced analytics skills while maintaining flexibility and affordability. Each pathway equips students with expertise relevant in today’s technology-driven job market.
North Carolina State University
ETH Zurich
Stony Brook University
Birkbeck, University of London
Bournemouth University
University of Bordeaux
University of St Andrews
Senckenberg Museum für Naturkunde Görlitz
The University of Texas Medical Branch at Galveston
University of Brescia
Technical University of Darmstadt
Hong Kong Baptist University
Newcastle University
University of Wyoming
University of Florida
Old Dominion University
