Sort:
Show:
Page Size:
Topic review
Updated time: 25 Aug 2021
Submitted by: Mohammad Nur E Alam
Definition: The development of magnetic photonic crystals (MPC) has been a rapidly evolving research area since the late 1990s. Magneto-optic (MO) materials and the techniques for their characterization have also continually undergone functional and property-related improvements. MPC Optimization is a feature-rich Windows software application designed to enable researchers to analyse the optical and magneto-optical spectral properties of multilayers containing gyrotropic constituents. A set of computational approaches, and a custom software package have been described, designed to enable the design and optimization of 1D magnetic photonic crystals in terms of the achievable combinations of Faraday rotation, transmission, and reflection spectra.
Unfold
Topic review
Updated time: 24 Aug 2021
Submitted by: Gabino Torres-Vega
Definition: We introduce finite-differences derivatives intended to be exact when applied to the real exponential function. We want to recover the known results of continuous calculus with our finite differences derivatives but in a discrete form. The purpose of this work is to have a discrete momentum operator suitable for use as an operator in discrete quantum mechanics theory.
Unfold
Topic review
Updated time: 08 Feb 2021
Submitted by: Elena Simonova
Definition: The paper is devoted to an overview of multi-agent principles, methods, and technologies intended to adaptive real-time data clustering. The proposed methods provide new principles of self-organization of records and clusters, represented by software agents, making it possible to increase the adaptability of different clustering processes significantly. The paper also presents a comparative review of the methods and results recently developed in this area and their industrial applications. An ability of self-organization of items and clusters suggests a new perspective to form groups in a bottom-up online fashion together with continuous adaption previously obtained decisions. Multi-agent technology allows implementing this methodology in a parallel and asynchronous multi-thread manner, providing highly flexible, scalable, and reliable solutions. Industrial applications of the intended for solving too complex engineering problems are discussed together with several practical examples of data clustering in manufacturing applications, such as the pre-analysis of customer datasets in the sales process, pattern discovery, and ongoing forecasting and consolidation of orders and resources in logistics, clustering semantic networks in insurance document processing. Future research is outlined in the areas such as capturing the semantics of problem domains and guided self-organization on the virtual market.
Unfold
Topic review
Updated time: 03 Jun 2021
Submitted by: Amir Mosavi
Definition: This entry provides a comprehensive state-of-the-art investigation of the recent advances in data science in emerging economic applications. The analysis is performed on the novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a broad and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, is used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which outperform other learning algorithms. It is further expected that the trends will converge toward the evolution of sophisticated hybrid deep learning models.
Unfold
Topic review
Updated time: 05 May 2021
Submitted by: Giovanni Pau
Definition: Autonomous driving is a technological innovation that involves the use of Artificial Intelligence (AI) in the automotive area, representing the future of transport and whose applications will influence the concept of driving and many other features of modern society. Indeed, the introduction of Autonomous Vehicles (AVs) on the market, along with the development of related technologies, will have a potential impact not only on the automotive industry but also on urban transport systems. New mobility-related businesses will emerge, whereas existing ones will have to adapt to changes.
Unfold
Topic review
Updated time: 27 Jul 2020
Submitted by:Jiazhen Zhang
Definition: Bibliometric analysis refers to the cross science of quantitative analysis of all knowledge carriers with mathematical and statistical methods. It is a comprehensive knowledge system that integrates mathematics, statistics, and Philology and pays attention to quantification. The main objects of bibliometrics are the amount of literature (various publications, especially journal papers and citations), the number of authors (individual group or group), the number of vocabulary (various literature marks, among which the majority are descriptors). The most essential feature of bibliometrics is that its output must be "quantity".
Unfold
Topic review
Updated time: 11 Apr 2021
Submitted by: Paulo Ferreira
Definition: Big data has become a very frequent research topic, due to the increase in data availability. Here we make the linkage between the use of big data and Econophysics, a research field which uses a large amount of data and deals with complex systems.
Unfold
Topic review
Updated time: 12 Aug 2021
Submitted by: Charithri Yapa
Definition: Emergence of the Energy Internet (EI) demands restructuring of traditional electricity grids to integrate heterogeneous energy sources, distribution network management with grid intelligence and big data management. This paradigm shift is considered to be a breakthrough in the energy industry towards facilitating autonomous and decentralized grid operations while maximizing the utilization of Distributed Generation (DG). Blockchain has been identified as a disruptive technology enabler for the realization of EI to facilitate reliable, self-operated energy delivery.
Unfold
Topic review
Updated time: 10 Apr 2021
Submitted by: Violeta Carvalho
Definition: Blood flow modeling consists of using computational techniques to investigate the blood flow behavior in a rapid and accurate fashion. This has become an area of extensive research due to the prevalence of cardiovascular diseases, responsible for a critical number of deaths every year worldwide, most of which are associated with atherosclerosis, a disease that causes unusual hemodynamic conditions in arteries. In the present review, the application of computational simulations by using different physiological conditions of blood flow, several rheological models, and boundary conditions, were discussed.
Topic review
Updated time: 28 Oct 2020
Submitted by: Muhammad Rizwan Ghori
Definition: Bluetooth Low Energy (BLE) is an increasingly prevalent Wireless Ad-Hoc Network (WAHN) technology for battery-powered Internet of Things (IoT) devices [1]. The BLE standard was introduced by the Bluetooth Special Interest Group (SIG) in Bluetooth version 4.0, and subsequently enhanced in versions 4.2 and 5. Initially, BLE 4.x adopted the legacy Bluetooth Personal Area Network (PAN) model for multi-hop communications and the interconnection of networks. BLE 5 intends to address these inadequacies via the implementation of pure mesh topology to provide enhanced network coverage, inter-network connectivity, and improved security [2].
Unfold
  • Page
  • of
  • 6