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Topic Review
Deep Reinforcement Learning in Economics
The popularity of deep reinforcement learning (DRL) applications in economics has increased exponentially. DRL, through a wide range of capabilities from reinforcement learning (RL) to deep learning (DL), offers vast opportunities for handling sophisticated dynamic economics systems. DRL is characterized by scalability with the potential to be applied to high-dimensional problems in conjunction with noisy and nonlinear patterns of economic data. In this paper, we initially consider a brief review of DL, RL, and deep RL methods in diverse applications in economics, providing an in-depth insight into the state-of-the-art. Furthermore, the architecture of DRL applied to economic applications is investigated in order to highlight the complexity, robustness, accuracy, performance, computational tasks, risk constraints, and profitability. The survey results indicate that DRL can provide better performance and higher efficiency as compared to the traditional algorithms while facing real economic problems in the presence of risk parameters and the ever-increasing uncertainties. View Full-Text
  • 3.3K
  • 08 Apr 2021
Topic Review
Background on Computing Paradigms
General overview of the different mentioned paradigms needs to be provided in order to be oriented in the computing field. For clarity and consistency, each paradigm is carefully discussed concisely in the oncoming text. The reason for discussing each of these paradigms is to have an overview that will guide the understanding of the research goal for this entry, which is primarily the information security and privacy aspects for each paradigm.
  • 3.3K
  • 25 Feb 2022
Topic Review
β-Adrenergic Stimulation
β-adrenergic receptor stimulation (β-ARS) is a physiological mechanism that regulates cardiovascular function under stress conditions or physical exercise, producing a positive inotropic (enhanced contraction), lusitropic (faster relaxation), and chronotropic (increased heart rate) effect. 
  • 3.2K
  • 04 Aug 2021
Topic Review
Satellite-Based Active Fire Detection
Detection of an active wildfire in a satellite image scene relies on an accurate estimation of the background temperature of the scene, which must be compared to the observed temperature, to decide on the presence of fire. The expected background temperature of a pixel is commonly derived based on spatial-contextual information. Multi-temporal information and multi-spectral information have also been exploited in estimation of the background temperature of a pixel. This review discusses different approaches of estimation of background temperature and highlights the potentiality of the estimation of the background temperature using the multi-temporal data for early fire detection and real-time fire monitoring. The perspectives of a proposed multi-temporal approach are also outlined. 
  • 3.2K
  • 06 Dec 2020
Topic Review
Smart City Applications
Smart city applications are designed to take advantage of the smart city ICT and collected data to provide value-added smart features. These applications use data analytics, intelligent techniques and other advanced technologies to make smart decisions that improve the smart city's operations and quality of life.
  • 3.2K
  • 17 Dec 2021
Topic Review
Technologies for Big Data
Big data is growing so fast that current storage technologies and analytical tools are gradually feeling their inefficiencies not only to store and manage the valuable data but also to take full advantages of the opportunities and business insights that enormous data can offer. Since 2014, the concept of a data lake is increasingly becoming a popular solution among information leaders and big data-driven companies to deal with the challenges that brought about by big data. However, due to lacking of enough established best practices or related theories, some practitioners are still being kept outside the gate to a less risky implementation of a data lake. Besides, practitioners can hardly find any references which are free of bias, such as academic researches or reports, and are hardly able to support them with the reality of building a data lake at preset from an independent perspective.  
  • 3.2K
  • 06 Jun 2021
Topic Review
Recognition Technologies of Hand Gesture
Hand gesture recognition plays a significant part in delivering diverse messages using hand gestures in the digital domain. Real-time hand gesture identification is now possible because of advancements in both imaging technology and image processing algorithmic frameworks.
  • 3.2K
  • 17 Jun 2022
Topic Review
Fedora Version History
Fedora is a popular Linux distribution developed by the community-supported Fedora Project and is sponsored by Red Hat. Fedora attempts to maintain a six-month release schedule, offering new versions in May and November, although some releases have experienced minor delays.
  • 3.2K
  • 28 Oct 2022
Topic Review
Gauss's Lemma (Polynomial)
In algebra, Gauss's lemma, named after Carl Friedrich Gauss, is a statement about polynomials over the integers, or, more generally, over a unique factorization domain (that is, a ring that has a unique factorization property similar to the fundamental theorem of arithmetic). Gauss's lemma underlies all the theory of factorization and greatest common divisors of such polynomials. Gauss's lemma asserts that the product of two primitive polynomials is primitive (a polynomial with integer coefficients is primitive if it has 1 as a greatest common divisor of its coefficients). A corollary of Gauss's lemma, sometimes also called Gauss's lemma, is that a primitive polynomial is irreducible over the integers if and only if it is irreducible over the rational numbers. More generally, a primitive polynomial has the same complete factorization over the integers and over the rational numbers. In the case of coefficients in a unique factorization domain R, "rational numbers" must be replaced by "field of fractions of R". This implies that, if R is either a field, the ring of integers, or a unique factorization domain, then every polynomial ring (in one or several indeterminates) over R is a unique factorization domain. Another consequence is that factorization and greatest common divisor computation of polynomials with integers or rational coefficients may be reduced to similar computations on integers and primitive polynomials. This is systematically used (explicitly or implicitly) in all implemented algorithms (see Polynomial greatest common divisor and Factorization of polynomials). Gauss's lemma, and all its consequences that do not involve the existence of a complete factorization remain true over any GCD domain (an integral domain over which greatest common divisors exist). In particular, a polynomial ring over a GCD domain is also a GCD domain. If one calls primitive a polynomial such that the coefficients generate the unit ideal, Gauss's lemma is true over every commutative ring. However, some care must be taken, when using this definition of primitive, as, over a unique factorization domain that is not a principal ideal domain, there are polynomials that are primitive in the above sense and not primitive in this new sense.
  • 3.1K
  • 28 Nov 2022
Topic Review
2020 Nintendo Data Leak
The 2020 Nintendo data leak, more commonly referred to as the Nintendo Gigaleak is a series of leaks of data from Japanese video game company Nintendo on the anonymous imageboard website 4chan. The releasing of data started in March 2018, but became most prominent in 2020. Nine main sets of data leaked on 4chan, ranging from game and console source code to internal documentation and development tools. The name "Gigaleak" mainly refers to the second leak on July 24, 2020, which was 3 gigabytes in size. The leaks are believed to have come either from companies contracted by Nintendo in the design of these consoles, or from individuals previously convicted of intrusion into Nintendo systems. An earlier, much smaller leak had also occurred in 2018 which had the Nintendo Space World 1997 demos for Pokémon Gold and Silver leaked. The leaks are infamous for the sheer size and the amount of internal material leaked; video game journalists have described the magnitude of the leaks as unprecedented, and suggested that they might have significant effects for emulation and to preservationists, in addition to the legal questions posed by the leak. As of May 2021, Nintendo has not made any official response.
  • 3.1K
  • 14 Oct 2022
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