AIMC Topic: Databases as Topic

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Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments.

Sensors (Basel, Switzerland) Dec 30, 2019
In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-driven approaches rely on good quality data during training, however, a shortage of high quality, large-scale, and accurately annotated HAR datasets exists fo...
Environment Pattern Recognition, Automated Human Activities Humans Neural Networks, Computer Models, Theoretical Support Vector Machine Databases as Topic
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A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition.

Sensors (Basel, Switzerland) Dec 28, 2019
Speech is the most significant mode of communication among human beings and a potential method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable emotion recognition using these sensors from speech signals is an emerging ...
Auditory Perception Speech Emotions Signal Processing, Computer-Assisted Sound Spectrography Databases as Topic Pattern Recognition, Automated Humans Neural Networks, Computer
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Prediction of lower limb joint angles and moments during gait using artificial neural networks.

Medical & biological engineering & computing Dec 11, 2019
In recent years, gait analysis outside the laboratory attracts more and more attention in clinical applications as well as in life sciences. Wearable sensors such as inertial sensors show high potential in these applications. Unfortunately, they can ...
Biomechanical Phenomena Lower Extremity Kinetics Humans Neural Networks, Computer Joints Gait Models, Biological Databases as Topic
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Multi-view ensemble learning with empirical kernel for heart failure mortality prediction.

International journal for numerical methods in biomedical engineering Dec 2, 2019
Heart failure (HF) refers to the heart's inability to pump sufficient blood to maintain the body's needs, which has a very serious impact on human health. In recent years, the prevalence of HF has remained high. This paper proposes a multi-view ensem...
Humans Machine Learning Algorithms Area Under Curve Heart Failure Female Databases as Topic Male ROC Curve
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A hybrid self-attention deep learning framework for multivariate sleep stage classification.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Sleep is a complex and dynamic biological process characterized by different sleep patterns. Comprehensive sleep monitoring and analysis using multivariate polysomnography (PSG) records has achieved significant efforts to prevent sleep-re...
Humans Algorithms Polysomnography Sleep Stages Deep Learning Electroencephalography ROC Curve Databases as Topic Multivariate Analysis
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A hybrid deep learning framework for bacterial named entity recognition with domain features.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Microbes have been shown to play a crucial role in various ecosystems. Many human diseases have been proved to be associated with bacteria, so it is essential to extract the interaction between bacteria for medical research and applicatio...
Bacteria Models, Theoretical Databases as Topic Humans Neural Networks, Computer Algorithms Deep Learning
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AOCT-NET: a convolutional network automated classification of multiclass retinal diseases using spectral-domain optical coherence tomography images.

Medical & biological engineering & computing Nov 14, 2019
Since introducing optical coherence tomography (OCT) technology for 2D eye imaging, it has become one of the most important and widely used imaging modalities for the noninvasive assessment of retinal eye diseases. Age-related macular degeneration (A...
Entropy Humans Neural Networks, Computer Databases as Topic ROC Curve Algorithms Automation Imaging, Three-Dimensional User-Computer Interface Retinal Diseases Tomography, Optical Coherence
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Optimal selection of SOP and SPH using fuzzy inference system for on-line epileptic seizure prediction based on EEG phase synchronization.

Australasian physical & engineering sciences in medicine Oct 15, 2019
Living conditions of patients with refractory epilepsy will be significantly improved by a successful prediction of epileptic seizures. A proper warning impending seizure system should be resulted not only in high accuracy and low false positive alar...
Databases as Topic Electroencephalography Phase Synchronization Young Adult Child Middle Aged Adult Fuzzy Logic Humans Male Adolescent Seizures Algorithms Female
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On the use of Action Units and fuzzy explanatory models for facial expression recognition.

PloS one Oct 15, 2019
Facial expression recognition is related to the automatic identification of affective states of a subject by computational means. Facial expression recognition is used for many applications, such as security, human-computer interaction, driver safety...
Models, Theoretical Humans Fuzzy Logic Algorithms Databases as Topic Emotions Facial Expression Facial Recognition
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Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies.

Journal of translational medicine Sep 18, 2019
BACKGROUND: Wearable smart watches provide large amount of real-time data on the environmental state of the users and are useful to determine risk factors for onset and progression of myopia. We aim to evaluate the efficacy of machine learning algori...
Light Databases as Topic Environment Myopia ROC Curve Support Vector Machine Humans Machine Learning Algorithms
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