An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments.

Industrial assets often feature multiple sensing devices to keep track of their status by monitoring certain physical parameters. These readings can be analyzed with machine learning (ML) tools to identify potential failures through anomaly detection, allowing operators to take appropriate corrective actions. Typically, these analyses are conducted on servers located in data centers or the cloud.

Integrating the IoT and Blockchain Technology for the Next Generation of Mining Inspection Systems.

Inspection of mining assets is a crucial part of the maintenance process and is of interest to several stakeholders (e.g., OEMs, owners, users, and inspectors).

Therapeutic Alliance in COVID-19 Era Remote Psychotherapy Delivered to Physically Ill Patients With Disturbed Body Image.

The COVID-19 pandemic outbreak has led to a general reorganization of health services and an increase in outpatient telemedicine in mental healthcare for physically ill people. Current literature highlights facilitators and obstacles concerning the use of new technologies in psychotherapy, an underrated topic of research in the context of supportive expressive psychotherapy. More insight is needed to explore the characteristics of video in therapeutic alliance for treatment of specific mental disorders experienced in psychosomatics, particularly with people suffering from a disturbed body- and self-image.