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Helping the clinicians to identify patients at high risk of developing diabetes complications in the short/medium term and inform treatment decisions can represent an important aid to overcome clinical inertia and improve the quality of diabetes care.

Faster R-CNN approach for detection and quantification of DNA damage in comet assay images

DNA damage analysis can provide valuable information in several areas ranging from the diagnosis/treatment of a disease to the monitoring of the effects of genetic and environmental influences.

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A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment

A Hidden Semi-Markov Model (HSMM) based approach is proposed to evaluate and monitor body motion during a rehabilitation training program.

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A sequential deep learning application for recognising human activities in smart homes

The recent advancement and development of computer electronic devices has led to the adoption of smart home sensing systems, stimulating the demand for associated products and services.

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A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation

Smart homes play a strategic role for improving life quality of people, enabling to monitor people at home with numerous intelligent devices.

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SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0

Predictive Maintenance (PdM) is a prominent strategy comprising all the operational techniques and actions required to ensure machine availability and to prevent a machine-down failure.

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