AIMC Topic: Machine Learning

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Integrating multisensor satellite data merging and image reconstruction in support of machine learning for better water quality management.

Journal of environmental management
Monitoring water quality changes in lakes, reservoirs, estuaries, and coastal waters is critical in response to the needs for sustainable development. This study develops a remote sensing-based multiscale modeling system by integrating multi-sensor s...

The Identification and Tracking of Uterine Contractions Using Template Based Cross-Correlation.

Annals of biomedical engineering
The purpose of this paper is to outline a novel method of using template based cross-correlation to identify and track uterine contractions during labour. A purpose built six-channel Electromyography (EMG) device was used to collect data from consent...

A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation.

Journal of biomedical informatics
Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes involved in breast cancer can be identified by immunohistochemistry. However, this method has problems arising from the intra-o...

NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment.

Nutrients
Automatic food image recognition systems are alleviating the process of food-intake estimation and dietary assessment. However, due to the nature of food images, their recognition is a particularly challenging task, which is why traditional approache...

Detecting Abnormal Word Utterances in Children With Autism Spectrum Disorders: Machine-Learning-Based Voice Analysis Versus Speech Therapists.

Perceptual and motor skills
Abnormal prosody is often evident in the voice intonations of individuals with autism spectrum disorders. We compared a machine-learning-based voice analysis with human hearing judgments made by 10 speech therapists for classifying children with auti...

Qualitative spatial logic descriptors from 3D indoor scenes to generate explanations in natural language.

Cognitive processing
The challenge of describing 3D real scenes is tackled in this paper using qualitative spatial descriptors. A key point to study is which qualitative descriptors to use and how these qualitative descriptors must be organized to produce a suitable cogn...

Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning.

IEEE transactions on bio-medical engineering
UNLABELLED: Myoelectric signals can be used to predict the intended movements of an amputee for prosthesis control. However, untrained effects like limb position changes influence myoelectric signal characteristics, hindering the ability of pattern r...

Application of machine learning classification for structural brain MRI in mood disorders: Critical review from a clinical perspective.

Progress in neuro-psychopharmacology & biological psychiatry
Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic burden. There are various methodological approaches for identifying the underlying mechanisms of the etiology, symptomatology, and therapeutics of mood ...

A comparison of rule-based and machine learning approaches for classifying patient portal messages.

International journal of medical informatics
OBJECTIVE: Secure messaging through patient portals is an increasingly popular way that consumers interact with healthcare providers. The increasing burden of secure messaging can affect clinic staffing and workflows. Manual management of portal mess...

Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers.

Scientific reports
We investigated the feasibility and potentiality of presymptomatic detection of tobacco disease using hyperspectral imaging, combined with the variable selection method and machine-learning classifiers. Images from healthy and TMV-infected leaves wit...