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Supervised Machine Learning

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Prediction of human thermal comfort preference based on supervised learning.

Journal of thermal biology
Human thermal comfort is relevant to human life comfort and plays a pivotal role in occupational health and thermal safety. To ensure that intelligent temperature-controlled equipment can deliver a sense of cosiness to people while improving its ener...

Improving the Neural Segmentation of Blurry Serial SEM Images by Blind Deblurring.

Computational intelligence and neuroscience
Serial scanning electron microscopy (sSEM) has recently been developed to reconstruct complex largescale neural connectomes, through learning-based instance segmentation. However, blurry images are inevitable amid prolonged automated data acquisition...

Machine learning toward high-performance electrochemical sensors.

Analytical and bioanalytical chemistry
The so-coined fourth paradigm in science has reached the sensing area, with the use of machine learning (ML) toward data-driven improvements in sensitivity, reproducibility, and accuracy, along with the determination of multiple targets from a single...

A machine-learning algorithm for predicting brain age using Rey-Osterrieth complex figure tests of healthy participants.

Applied neuropsychology. Adult
OBJECTIVE: Neuropsychologists widely use the Rey-Osterrieth complex figure test (RCFT) as part of neuropsychological test batteries to evaluate cognitive function and assess constructional ability, with age being the most significant factor. Our stud...

Large-Scale Tactile Detection System Based on Supervised Learning for Service Robots Human Interaction.

Sensors (Basel, Switzerland)
In this work, a large-scale tactile detection system is proposed, whose development is based on a soft structure using Machine Learning and Computer Vision algorithms to map the surface of a forearm sleeve. The current application has a cylindrical d...

A Novel System to Increase Yield of Manufacturing Test of an RF Transceiver through Application of Machine Learning.

Sensors (Basel, Switzerland)
Electronic manufacturing and design companies maintain test sites for a range of products. These products are designed according to the end-user requirements. The end user requirement, then, determines which of the proof of design and manufacturing t...

Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image.

IEEE journal of biomedical and health informatics
Accurate tissue segmentation in histopathological images is essential for promoting the development of precision pathology. However, the size of the digital pathological image is great, which needs to be tiled into small patches containing limited se...

Adverse drug event detection using natural language processing: A scoping review of supervised learning methods.

PloS one
To reduce adverse drug events (ADEs), hospitals need a system to support them in monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing (NLP), a computerized approach to analyze text data, has shown promising results ...

Application of Machine Learning Methods for an Analysis of E-Nose Multidimensional Signals in Wastewater Treatment.

Sensors (Basel, Switzerland)
The work represents a successful attempt to combine a gas sensors array with instrumentation (hardware), and machine learning methods as the basis for creating numerical codes (software), together constituting an electronic nose, to correct the class...

Effectiveness of Semi-Supervised Active Learning in Automated Wound Image Segmentation.

International journal of molecular sciences
Appropriate wound management shortens the healing times and reduces the management costs, benefiting the patient in physical terms and potentially reducing the healthcare system's economic burden. Among the instrumental measurement methods, the image...