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Topic Review
Data Analysis/4 Data Mining
Data mining (sometimes called knowledge discovery) is the process of analyzing and summarizing data into useful information which can be used to understand common features, the origin of data and to extract hidden predictive information. Data mining is used in science, engineering, modeling and analysis of financial markets.
  • 488
  • 15 Nov 2022
Topic Review
Multiple Document Interface
A multiple document interface (MDI) is a graphical user interface in which multiple windows reside under a single parent window. Such systems often allow child windows to embed other windows inside them as well, creating complex nested hierarchies. This contrasts with single document interfaces (SDI) where all windows are independent of each other.
  • 488
  • 25 Nov 2022
Topic Review
Anchor Assignment in Object Detection
Due to the advantages of edge computing in terms of latency, bandwidth, and security, it provides more effective technical support for many applications that require real-time security. A security system is one of the applications for edge computing in Internet of Things (IoT), where the core end device is a camera for surveillance and smart security. Smart security based on object detection is one of the important applications of edge computing in IoT. Anchors in object detection refer to points on the feature map, which can be used to generate anchor boxes and serve as training samples. The training samples in object detection use anchors, which are feature points on the feature map that can be used for classification and regression.
  • 488
  • 28 Jul 2023
Topic Review
Data Extraction Approach for Empirical Agent-Based Model Development
Agent-based model (ABM) development needs information on system components and interactions. Qualitative narratives contain contextually rich system information beneficial for ABM conceptualization. Traditional qualitative data extraction is manual, complex, and time- and resource-consuming. Moreover, manual data extraction is often biased and may produce questionable and unreliable models. A possible alternative is to employ automated approaches borrowed from Artificial Intelligence.
  • 488
  • 29 Sep 2023
Topic Review
Automated Fact Verification Systems
The rapid growth in Artificial Intelligence (AI) has led to considerable progress in Automated Fact Verification (AFV). This process involves collecting evidence for a statement, assessing its relevance, and predicting its accuracy.
  • 488
  • 01 Dec 2023
Topic Review
Ontology-Based Regression Testing
Regression testing is a relevant research field focused on ensuring software works correctly after being modified or when new functionalities are added. The widespread use of information technology techniques has enabled the rapid development of applications.
  • 487
  • 04 Nov 2021
Topic Review
Hybrid Digital Food Twin
Food production is highly complex due to the various chemo-physical and biological processes that must be controlled to transform ingredients into final products. Further, production processes must be adapted to the variability of the ingredients, e.g., due to seasonal fluctuations of raw material quality. Digital twins are known from Industry 4.0 as a method to model, simulate, and optimize processes. Such a digital food twin has to consider the changes within the food due to micro-biological, chemical, and physical processes. Consequently, researchers propose the concept of a hybrid digital twin, which integrates simulation and data science (i.e., machine learning) to combine a data-driven perspective, simulations, and scientific models to describe the food product and the food processing process. 
  • 487
  • 16 Sep 2022
Topic Review
Fashion Recommendation System Using Deep Learning
Recommender systems are one of the great improvements in Internet technology and e-commerce, and the origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Later, recommender systems went through numerous improvements to facilitate users’ navigation through fashion, videos, books, papers, and especially e-commerce.
  • 487
  • 22 Aug 2023
Topic Review
Vision-Based Gait Recognition
Identifying people’s identity by using behavioral biometrics has attracted many researchers’ attention in the biometrics industry. Gait is a behavioral trait, whereby an individual is identified based on their walking style. Over the years, gait recognition has been performed by using handcrafted approaches. Due to several covariates’ effects, the competence of the approach has been compromised. Deep learning is an emerging algorithm in the biometrics field, which has the capability to tackle the covariates and produce highly accurate results. 
  • 486
  • 12 Aug 2022
Topic Review
Opaque Forest Problem
In computational geometry, the opaque forest problem can be stated as follows: "Given a convex polygon C in the plane, determine the minimal forest T of closed, bounded line segments such that every line through C also intersects T". T is said to be the opaque forest, or barrier of C. C is said to be the coverage of T. While any forest that covers C is a barrier of C, we wish to find the one with shortest length. It may be the case that T is constrained to be strictly interior or exterior to C. In this case, we specifically refer to a barrier as interior or exterior. Otherwise, the barrier is assumed to have no constraints on its location.
  • 486
  • 08 Oct 2022
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