Search Results - "Hybrid machine-learning algorithm"

A Hybrid Machine Learning Algorithm for Predicting Resting Motor Thresholds in Patients With Schizophrenia and Healthy Individuals Undergoing Transcranial Magnetic Stimulation by Saxena, Yash R., Lewis, Connor J., Sabbir Alam, Muhammad, Atulasimha, Jayasimha, Mehta, Urvakhsh M., Hadimani, Ravi L.

“… (fMRI) are all associated with RMT. For 54 subjects with schizophrenia and 43 healthy subjects, fMRI blood oxygen-level detection (BOLD…”
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Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area by Mohajane, Meriame, Costache, Romulus, Karimi, Firoozeh, Bao Pham, Quoc, Essahlaoui, Ali, Nguyen, Hoang, Laneve, Giovanni, Oudija, Fatiha

“… In this study, we developed five new hybrid machine learning algorithms namely, Frequency Ratio-Multilayer Perceptron (FR-MLP…”
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A Novel Approach for Classification of EEG subjects using Hybrid Machine Learning algorithm by Mohebbanaaz, Babu, A Rajendra, Bhargav, S., Reddy, S. Lakshmikanth, Maick, B. Muralidhar

“… This paper presents end-to-end approaches to detect seizures from EEG subjects using K-Nearest Neighbour (KNN…”
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Hybrid Machine Learning Algorithm-Based Paddy Leave Disease Detection System by Payal, Kukana, Poonam

“…The agriculture field is one of the current examination subjects is classification, detection, and recognition of paddy leave disease images of a plant…”
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Robust computational approach to determine the safe mud weight window using well-log data from a large gas reservoir by Beheshtian, Saeed, Rajabi, Meysam, Davoodi, Shadfar, Wood, David A., Ghorbani, Hamzeh, Mohamadian, Nima, Alvar, Mehdi Ahmadi, Band, Shahab S.

“… A novel machine learning method is developed to predict SMWW from ten well-log input variables subject to feature selection…”
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Using human brain activity to guide machine learning by Fong, Ruth C., Scheirer, Walter J., Cox, David D.

“… Here we demonstrate a new paradigm of “neurally-weighted” machine learning, which takes fMRI measurements of human brain activity from subjects viewing images…”
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Determination gender-based hybrid artificial intelligence of body muscle percentage by photoplethysmography signal by Uçar, Muhammed Kürşad, Uçar, Kübra, Uçar, Zeliha, Bozkurt, Mehmet Recep

“…•Artificial intelligence-based prediction model for body muscle percentage (BMP).•Gender-specific BMP prediction model.•BMP prediction model with…”
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Using Human Brain Activity to Guide Machine Learning by Fong, Ruth, Scheirer, Walter, Cox, David

“… Here we demonstrate a new paradigm of "neurally-weighted" machine learning, which takes fMRI measurements of human brain activity from subjects viewing images, and infuses these data…”
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