<p>Nudge principles and techniques are significant in communications, marketing, and groups’ motivation to improve personal health, wealth, and well-being. We make numerous decisions in online situations. People’s health and well-being have garnered widespread interest and concern in this wearable’s age. Smart nudging is defined as “digital nudging, where the guidance of user behavior is tailored ...

The purpose of this paper is to present and discuss pedagogical frameworks and approaches to developing, delivering, and evaluating a new interdisciplinary course within the domain of energy informatics at both Master’s and PhD levels. This study is needed because many papers on sustainable energy engineering education concentrate on course content but provide very little information on the ...

In fields such as finance, medicine, engineering, and science, making real-time predictions during transient periods characterized by sudden and large changes is a hard challenge for machine learning. Humans keep memory of these transient events, abstractly learn the most relevant rules and reuse them when similar events occur, which stems from episodic memory that allows storage and recall of similar ...

Deep neural networks are complex machine learning models that have shown promising results in analyzing high-dimensional data such as those collected from medical examinations. Such models have the potential to provide fast and accurate medical diagnoses. However, the high complexity makes deep neural networks and their predictions difficult to understand. Providing model explanations can be a way ...

The interest in video anomaly detection systems that can detect different types of anomalies, such as violent behaviours in surveillance videos, has gained traction in recent years. The current approaches employ deep learning to perform anomaly detection in videos, but this approach has multiple problems. For example, deep learning in general has issues with noise, concept drift, explainability, ...

Digital health contributes to health promotion by empowering the user with the holistic view of their health. Health promotion is to enable the user to take control over their health. The availability of wearables has contributed to the shift in healthcare, that is more connected, predictive, and proactive. Proactive in healthcare is to predict and prevent a situation, beforehand. This shift in ...

SynQLite is a relational database (RDB) built on SQLite. Using conflict-free replicated relations (CRR) to apply conflict-free replicated data types (CRDT) to augment the SQLite database. With SynQLite sites update their local replica without coordination from others sites, and sites converge once they have applied the same sets of updates. These sets of updates are fetched from the CRR and ...

Biometric and health related data collected through automated features in smartphones and wearables can provide researchers with valuable information about the population. This thesis explores the possibilities of extracting data from Apple and Samsung wearable devices like watches and smartphones where native built-in support for data extraction and third-party data storage is not available. Doing ...

Migraine is a recurrent headache disorder that afflicts significant portions of the global population. There is no current cure and migraines are mainly managed through symptomatic medical treatments and manual biofeedback routines. Automated data collection and prediction of migraine attacks through machine learning could be viable approaches for helping migraineurs and for reducing the impact of ...

In today's digital landscape where cloud-oriented approaches are widespread and an integral part, local-first software emerges to offer an alternative. It addresses concerns such as data control, privacy, offline capabilities, collaboration, and performance. The open-source relational database engine SQLite is a fitting candidate for local-first software as it is not reliant on network connectivity. ...