Suchergebnisse - "and regression algorithms"

Universal Pre-Ejection Period Estimation Using Seismocardiography: Quantifying the Effects of Sensor Placement and Regression Algorithms von Ashouri, Hazar, Hersek, Sinan, Inan, Omer T.

“… Seismocardiography (SCG), the measurement of local chest vibrations due to the heart and blood movement, is a noninvasive technique to assess cardiac …”
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EEG-Based Motion Intention Detection for Robotic Rehabilitation: Evaluating Classification and Regression Algorithms von Khan, Abdul Manan, Khan, Fatima, Dwivedi, Anshu Kumar, Semwal, Vijay Bhaskar, Martha, Sheshikala, Bijalwan, Vishwanath

“… However, accurately understanding the desired motion intention (DMI) of the subjects is a significant challenge in providing effective robotic assistance …”
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Non-invasive modeling of heart rate and blood pressure from a photoplethysmography by using machine learning techniques von Nidigattu, Govinda Rao, Mattela, Govardhan, Jana, Sayan

“… Cardiovascular diseases(CVD) is one of the major causes of deaths in the world, which may damage the endothelium cells which may lead to atherosclerosis and …”
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Practical Machine Learning for Data Analysis Using Python von Subasi, Abdulhamit

“… This book is a problem solver's guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on …”
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Craving Prediction From fMRI Drug Cue Reactivity in Methamphetamine Use Disorder: A Parsimonious Neurobiological Model von Mahdavi‐Doost, Hajar, Soleimani, Ghazaleh, Lim, Kelvin O., Ekhtiari, Hamed

“… ), we developed a modeling pipeline in which multiple feature selection methods (ANOVA, PCA) and regression algorithms …”
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Gradient Boosting Machine Learning Model for Defective Endometrial Receptivity Prediction by Macrophage-Endometrium Interaction Modules von Li, Bohan, Duan, Hua, Wang, Sha, Wu, Jiajing, Li, Yazhu

“… This study pooled 218 subjects from multiple datasets to investigate the association of the immune infiltration level with reproductive outcome …”
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Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach von Razavi, Rouzbeh, Xue, Guisen

“… Micronutrient deficiencies represent a major global health issue, with over 2 billion individuals experiencing deficiencies in essential vitamins and minerals …”
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Enhanced myoelectric control against arm position change with weighted recursive Gaussian process von Jung, Myong Chol, Chai, Rifai, Zheng, Jinchuan, Nguyen, Hung

“… In the last decade, there has been huge advancement in biomechatronic systems by the integration of pattern recognition and regression algorithms …”
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Alcohol consumption detection through behavioural analysis using intelligent systems von Robinel, Audrey, Puzenat, Didier

“… •We were able to classify drunk and sober example from 1 subject.•With multiple subjects we could estimate the BAC …”
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Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications von Grooby, E., Sitaula, C., Fattahi, D., Sameni, R., Tan, K., Zhou, L., King, A., Ramanathan, A., Malhotra, A., Dumont, G. A., Marzbanrad, F.

“… After feature ranking and selection, class balancing, and hyperparameter optimization, a variety of multi-class and ordinal classification and regression algorithms were trained …”
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CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making von Fernández García, Antonio Jesús, Preciado, Juan Carlos, E. Prieto, Alvaro, Sánchez Figueroa, Fernando, D. Gutiérrez, Juan

“… There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With …”
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Identification of Underground Faults using Internet of Things (IoT) von Rengaraj, R, Venkatakrishnan, G R, Adithya Pillai, R, Abinandhan, R, Dev Ganesh, S, Aravind, K

“… This paper aims at the detection of the fault occurring in an underground cable system, pinpoint the location of the fault using Extreme Learning Machine and …”
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Deep Learning for Electrophysiological Investigation and Estimation of Anesthetic-Induced Unconsciousness von Patlatzoglou, Konstantinos

“… practice.Our experiments begin by exploring the ability of deep learning to extract relevant electrophysiological features, under a cross-subject decoding …”
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Smoking Degree Assessment System based on Upper Limb Resistance Training von Zhang, Bochao, Yang, Zhao, Wang, Jiping

“… by comparing the characteristics of different machine learning classification and regression algorithms …”
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Data Science Framework for Evaluation of Entrance Exams and Identification of Academic Patterns von Huertas-Condori, Luciana N., Cabana-Yupanqui, Silvana B., Chaparro-Cruz, Israel N., Chaparro-Guerra, Americo

“… A broad set of classification and regression algorithms was benchmarked under 8-fold cross-validation, and feature importance analyses were applied to extract interpretable academic patterns …”
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Student Academic Performance Prediction using Educational Data Mining von Arun, D K, Namratha, V, Ramyashree, B V, Jain, Yashita P, Roy Choudhury, Antara

“… The field of Educational Data Mining concentrates on prediction more often as compared to generating exact results for future purpose. In order to keep track …”
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Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications von Grooby, Ethan, Sitaula, Chiranjibi, Fattahi, Davood, Sameni, Reza, Tan, Kenneth, Zhou, Lindsay, King, Arrabella, Ramanathan, Ashwin, Malhotra, Atul, Dumont, Guy A, Marzbanrad, Faezeh

“… Thirty of the recordings from ten subjects were obtained with synchronous vital signs from the Neonatal Intensive Care Unit (NICU …”
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Emovideo: Automatic Prediction of Emotional Responses to Videos Using its Cinematic Features von Graça, Silvana Moreira

“… Movies can evoke intense emotions in their audiences and are often used in the field of psychology to study emotion. Predicting how video content affects …”
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Utilizatión de técnicas avanzadas en el tratamiento y manejo de datos. Aplicatión a la gestión de sistemas de abastecimiento de agua von Arevalo, Jose Luis Diaz

“… According to Greek historian Herodotus, around 3050 BC, the ancient Egyptian pharaohs collected data about country's wealth and population in order to prepare …”
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