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All Topic Review Biography
Topic Review
Socially Assistive Robots
Socially assistive robots (SARs) have been used to help to mitigate the effects of the pandemic on older adults, including loneliness and isolation, and to alleviate the workload of both formal and informal caregivers. We identify the specific applications of SARs during the pandemic to help the older population and their caregivers. The robots all have multimodal communication abilities, and were able to perform multiple functions, including: (1) health monitoring (routinely checking vital signs and alerting healthcare professionals of any abnormalities), (2) screening of visitors (checking for masks and measuring temperature upon entering facilities), (3) social facilitation (enabling video communication between residents and families or healthcare staff), (4) activity facilitation (singing, dancing), (5) providing information and reminders for tasks (weather and food menu, scheduled activities), and (6) cognitive and physical training activities (memory games, exercises). Physical characteristics of the robots are outlined, including: height, presence of touchscreen tablet, facial recognition, natural language processing.
  • 1.0K
  • 28 Sep 2021
Topic Review
Machine-Learning Based Methods for PV
This entry presents the state of the art ML models applied in solar energy’s forecasting field i.e., for solar irradiance and power production forecasting (both point and interval or probabilistic forecasting), electricity price forecasting and energy demand forecasting. Other applications of ML into the photovoltaic (PV) field taken into account are the modelling of PV modules, PV design parameter extraction, tracking the maximum power point (MPP), PV systems efficiency optimization, PV/Thermal (PV/T) and Concentrating PV (CPV) system design parameters’ optimization and efficiency improvement, anomaly detection and energy management of PV’s storage systems. While many review papers already exist in this regard, they are usually focused only on one specific topic, while in this paper are gathered all the most relevant applications of ML for solar systems in many different fields. It gives an overview of the most recent and promising applications of machine learning used in the field of photovoltaic systems.
  • 660
  • 28 Sep 2021
Topic Review
Journal Axioms
Axioms (ISSN 2075-1680) is an international, peer-reviewed, open access journal of mathematics, mathematical logic and mathematical physics, published quarterly online by MDPI. It's now indexed within SCIE (Web of Science), Scopus, dblp, and other databases.
  • 1.2K
  • 26 Sep 2021
Topic Review
Machine Learning-Based for Depressive Syndrome
The current polythetic and operational criteria for major depression inevitably contribute to the heterogeneity of depressive syndromes. The heterogeneity of depressive syndrome has been criticized using the concept of language game in Wittgensteinian philosophy. Moreover, “a symptom- or endophenotype-based approach, rather than a diagnosis-based approach, has been proposed” as the “next-generation treatment for mental disorders” by Thomas Insel. Understanding the heterogeneity renders promise for personalized medicine to treat cases of depressive syndrome, in terms of both defining symptom clusters and selecting antidepressants. Machine learning algorithms have emerged as a tool for personalized medicine by handling clinical big data that can be used as predictors for subtype classification and treatment outcome prediction. The large clinical cohort data from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D), Combining Medications to Enhance Depression Outcome (CO-MED), and the German Research Network on Depression (GRND) have recently began to be acknowledged as useful sources for machine learning-based depression research with regard to cost effectiveness and generalizability. In addition, noninvasive biological tools such as functional and resting state magnetic resonance imaging techniques are widely combined with machine learning methods to detect intrinsic endophenotypes of depression.
  • 601
  • 24 Sep 2021
Topic Review
Data Harmonization
Data harmonization (DH) corresponds to a field that unifies the representation of such a disparate nature of data. Over the years, multiple solutions have been developed to minimize the heterogeneity aspects and disparity in formats of big-data types.
  • 758
  • 23 Sep 2021
Topic Review
Hardware Heritage
Hardware heritage is the history of both hardware and software. Human knowledge, experience, and skills are translated into computation models (binary code) in software and computer environment (‘digital ecosystem’). The history of software is a history of how different communities of practitioners ‘put their world into a computer’.
  • 876
  • 23 Sep 2021
Topic Review
Healthcare Electronic Records
Healthcare electronic records can provide both physicians and healthcare agencies to discover knowledge.  This work proposes an overview of the data mining techniques used for knowledge discovery in medical records. Furthermore, based on real healthcare data, this paper also demonstrates a case study of discovering knowledge with the help of three data mining techniques: (1) association analysis; (2) sequential pattern mining; (3) clustering. Particularly, association analysis is used to extract frequent correlations among examinations done by patients with a specific disease, sequential pattern mining allows extracting frequent patterns of medical events and clustering is used to find groups of similar patients. The discovered knowledge may enrich healthcare guidelines, improve their processes and detect anomalous patients’ behavior with respect to the medical guidelines. 
  • 565
  • 23 Sep 2021
Topic Review
Technology for Science Education
The COVID-19 confinement has represented both opportunities and losses for education. Rarely before has any other period moved the human spirit into such discipline or submission—depending on one’s personal and emotional points of view. Both extremes have been widely influenced by external factors on each individual’s life path. Education in the sciences and engineering has encountered more issues than other disciplines due to specialized mathematical handwriting, experimental demonstrations, abstract complexity, and lab practices. 
  • 709
  • 22 Sep 2021
Topic Review
Alignment-Free Study of Viral Diversity
Viral sequence variation can expand the host repertoire, enhance the infection ability, and/or prevent the build-up of a long-term specific immunity by the host. The study of viral diversity is, thus, critical to understand sequence change and its implications for intervention strategies.
  • 673
  • 22 Sep 2021
Topic Review
Intrusion Detection Systems
Intrusion detection systems and intrusion prevention systems are to prevent network intruders' attack and malicious compliance. Network communities have produced benchmark datasets available for researchers to improve the accuracy of intrusion detection systems. The scientific community has presented data mining and machine learning-based mechanisms to detect intrusion with high classification accuracy. 
  • 1.1K
  • 21 Sep 2021
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