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All Topic Review Biography
Topic Review
Blockchain-Based Security for IoMT Edge Networks
Despite the significant benefits that the rise of Internet of Medical Things (IoMT) can bring into citizens’ quality of life by enabling IoMT-based healthcare monitoring systems, there is an urgent need for novel security mechanisms to address the pressing security challenges of IoMT edge networks in an effective and efficient manner before they gain the trust of all involved stakeholders and reach their full potential in the market of next generation IoMT-based healthcare monitoring systems. Blockchain technology has been foreseen by the industry and research community as a disruptive technology that can be integrated into novel security solutions for IoMT edge networks, as it can play a significant role in securing IoMT devices and resisting unauthorized access during data transmission.
  • 568
  • 06 Apr 2022
Topic Review
Dynamic Fault Tree analysis method
The Entry briefly introduces the Dynamic Fault Tree analysis method proposed by P. Gao et al on the 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).
  • 496
  • 04 Apr 2022
Topic Review
Machine Learning Algorithms for Depression
Over the years, stress, anxiety, and modern-day fast-paced lifestyles have had immense psychological effects on people’s minds worldwide. The global technological development in healthcare digitizes the scopious data, enabling the map of the various forms of human biology more accurately than traditional measuring techniques. Machine learning (ML) has been accredited as an efficient approach for analyzing the massive amount of data in the healthcare domain. ML methodologies are being utilized in mental health to predict the probabilities of mental disorders and, therefore, execute potential treatment outcomes. The ML-based depression detection algorithms are categorized into three classes, classification, deep learning, and ensemble. A general model for depression diagnosis involving data extraction, pre-processing, training ML classifier, detection classification, and performance evaluation is presented.
  • 1.5K
  • 02 Apr 2022
Topic Review
Community-Specific Overview of Knowledge Graph Research
Knowledge graphs (KGs) have rapidly emerged as an important area in AI over the last ten years. Building on a storied tradition of graphs in the AI community, a KG may be simply defined as a directed, labeled, multi-relational graph with some form of semantics. In part, this has been fueled by increased publication of structured datasets on the Web, and well-publicized successes of large-scale projects such as the Google Knowledge Graph and the Amazon Product Graph. However, another factor that is less discussed, but which has been equally instrumental in the success of KGs, is the cross-disciplinary nature of academic KG research. Arguably, because of the diversity of this research, a synthesis of how different KG research strands all tie together could serve a useful role in enabling more ‘moonshot’ research and large-scale collaborations.
  • 627
  • 01 Apr 2022
Topic Review
Resampling under Complex Sampling Designs
In principle, survey data are an ideal context to apply resampling methods to approximate the (unknown) sampling distribution of statistics, due to both a usually large sample size and data of controlled quality. However, survey data cannot be generally assumed independent and identically distributed (i.i.d.) so that any resampling methodologies to be used in sampling from finite populations must be adapted to account for the sample design effect. A principled appraisal is given and discussed here.
  • 507
  • 31 Mar 2022
Topic Review
Surrogate-Based Optimisation
Surrogate-based optimisation (SBO) algorithms are a powerful technique that combine machine learning and optimisation to solve expensive optimisation problems. This type of problem appears when dealing with computationally expensive simulators or algorithms. By approximating the expensive part of the optimisation problem with a surrogate, the number of expensive function evaluations can be reduced.
  • 589
  • 31 Mar 2022
Topic Review
Promoting Traditional Craftsmanship Through Digital Technology
Τhe success of assisting Cultural Heritage (CH) valorization through digital technologies (availability, accessibility, and engaging and interactive presentations) is due to the captivating content of stories, memories, and meaning that CH offers. Traditional Crafts (TCs) have a paramount cultural value and offer a thematic thesaurus of stories and narratives related to the origins of modern societies, history, and culture, the origins of industrial development and design, economic factors and societal outcomes, as well as, personal and family memories, all of which general audiences can relate to.
  • 1.9K
  • 30 Mar 2022
Topic Review
Diabetic Foot with Exercise Therapy
Diabetic foot (DF) is a long-term diabetes complication that can increase morbidity and mortality in addition to affecting mobility and the overall well-being of patients. In particular, the DF has a complex multifactorial pathogenesis that makes it difficult to prevent and treat. In this sense, it is well known that the prevention and treatment of DF disease requires a multidisciplinary approach. Physical activity has always been considered a potential pillar in the prevention of DFD. More recently, it has been reported, that physical activity can contribute in the wound healing phase. Unfortunately, to date, there is no clear and definitive evidence on the role that protocols of physical activity can play in the treatment of patients at risk or with DFD. In order to pursue this objective, it is important to standardize exercise training protocols for the prevention or treatment of these patients. Moreover, it is now possible to organize innovative methods of conducting, monitoring and analysing physical activity performed by patients, even remotely.
  • 505
  • 29 Mar 2022
Topic Review
Protein Binding of Benzofuran Derivatives
Benzofuran derivatives are synthetic compounds that are finding an increasing interest in the scientific community not only as building blocks for the realization of new materials, but also as potential drugs thanks to their ability to interact with nucleic acids, interfere with the amyloid peptide aggregation and cancer cell cycle. However, their ability to interact with proteins is a theme still in need of investigation for the therapeutic importance that benzofurans could have in the modulation of protein-driven processes, and for the possibility of making use of serum albumins as benzofurans delivery systems.
  • 528
  • 29 Mar 2022
Topic Review
Using Colored Petri Net for Accounting System
Many learners who are not familiar with the accounting terms find blended learning very complex to understand with respect to the computerized accounting system, the journal entries process, and tracing the accounting transaction flows of accounting system. A simulation-based model is a viable option to help instructors and learners make understanding the accounting system components and monitoring the accounting transactions easier. This entry briefly introduce a colored Petri net (CPN)-based model.
  • 653
  • 28 Mar 2022
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