[HTML][HTML] Physical human activity recognition using wearable sensors
This paper presents a review of different classification techniques used to recognize human
activities from wearable inertial sensor data. Three inertial sensor units were used in this …
activities from wearable inertial sensor data. Three inertial sensor units were used in this …
Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …
An introduction to domain adaptation and transfer learning
In machine learning, if the training data is an unbiased sample of an underlying distribution,
then the learned classification function will make accurate predictions for new samples …
then the learned classification function will make accurate predictions for new samples …
[書籍][B] Practical machine learning for data analysis using python
A Subasi - 2020 - books.google.com
Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for
creating real-world intelligent systems. It provides a comprehensive approach with concepts …
creating real-world intelligent systems. It provides a comprehensive approach with concepts …
[書籍][B] Statistical pattern recognition
AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …
many advances in recent years. New andemerging applications-such as data mining, web …
Medical image segmentation methods, algorithms, and applications
Medical images have made a great impact on medicine, diagnosis, and treatment. The most
important part of image processing is image segmentation. Many image segmentation …
important part of image processing is image segmentation. Many image segmentation …
Revealing household characteristics from smart meter data
Utilities are currently deploying smart electricity meters in millions of households worldwide
to collect fine-grained electricity consumption data. We present an approach to automatically …
to collect fine-grained electricity consumption data. We present an approach to automatically …
Classification of EEG signals based on pattern recognition approach
Feature extraction is an important step in the process of electroencephalogram (EEG) signal
classification. The authors propose a “pattern recognition” approach that discriminates EEG …
classification. The authors propose a “pattern recognition” approach that discriminates EEG …
EEG classification of ADHD and normal children using non-linear features and neural network
Abstract Purpose Attention-Deficit Hyperactivity Disorder (ADHD) is a neuro-developmental
disorder that is characterized by hyperactivity, inattention and abrupt behaviors. This study …
disorder that is characterized by hyperactivity, inattention and abrupt behaviors. This study …
Acoustic side-channel attacks on additive manufacturing systems
Additive manufacturing systems, such as 3D printers, emit sounds while creating objects.
Our work demonstrates that these sounds carry process information that can be used to …
Our work demonstrates that these sounds carry process information that can be used to …