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Topic Review
IIoT and Privacy-Preserving Architectures
Unlike traditional industrial systems that operate in isolation or with limited connectivity, IIoT systems enable seamless communication between devices and systems, both within a single industrial facility and across multiple sites or locations. This interconnectedness allows for the exchange of data and information, facilitating the integration of operational technology (OT) with information technology (IT) systems.
  • 422
  • 08 Aug 2023
Topic Review
Cyberattacks in Wireless Sensor Networks
As an Internet of Things (IoT) technological key enabler, Wireless Sensor Networks (WSNs) are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have several limitations which complicate the design of effective attack prevention and detection techniques.
  • 422
  • 19 Sep 2023
Topic Review
Explicit Mathematics
In the field of logic and set theory, American mathematician and philosopher Solomon Feferman developed explicit mathematics, which is a collection of axiomatic systems related to constructive mathematics. It refers to a set of fundamental logical systems based on mathematical logic. A second type of class is added to a first-order logic of partial terms axiomatizing combinatory algebra. Alternative names: classifications, or types are sometimes used. The aim of explicit mathmetics was to have a straightforward and principled transfer of the notions of indescribable cardinals from set theory to admissible ordinals, yet the approach leaves open the question as to what is the proper analogue for admissible ordinals — if any — of a cardinal κ being [math]\displaystyle{ \Pi^m_n }[/math]-indescribable for m > 1.
  • 421
  • 13 Oct 2022
Topic Review
Deep Learning for 3D Point Cloud Data Processing
Deep learning techniques for processing 3D point cloud data have seen significant advancements, given their unique ability to extract relevant features and handle unstructured data. These techniques find wide-ranging applications in fields like robotics, autonomous vehicles, and various other computer-vision applications.
  • 421
  • 21 Jul 2023
Topic Review
Potential Applications of Optical Camera Communication
Optical wireless communication (OWC) has been considered as a practical wireless communication technology due to the reuse of existing camera-based receivers that are widely readily in smart devices. This flexibility of the camera-based receivers has led to OCC being applied in diverse fields, such as intelligent transportation systems, indoor localization and navigation, underwater communication, and IoT connectivity.
  • 421
  • 18 Aug 2023
Topic Review
Machine Learning-Based Text Classification Comparison
The growth in textual data associated with the increased usage of online services and the simplicity of having access to these data has resulted in a rise in the number of text classification research papers. Text classification has a significant influence on several domains such as news categorization, the detection of spam content, and sentiment analysis. The classification of Turkish text is the research focus since only a few studies have been conducted in this context. Researchers utilize data obtained from customers’ inquiries that come to an institution to evaluate the proposed techniques. Classes are assigned to such inquiries specified in the institution’s internal procedures. The Support Vector Machine, Naïve Bayes, Long Term-Short Memory, Random Forest, and Logistic Regression algorithms were used to classify the data. The performance of the various techniques was then analyzed after and before data preparation, and the results were compared. The Long Term-Short Memory technique demonstrated superior effectiveness in terms of accuracy, achieving an 84% accuracy rate, surpassing the best accuracy record of traditional techniques, which was 78% accuracy for the Support Vector Machine technique. The techniques performed better once the number of categories in the dataset was reduced. Moreover, the findings show that data preparation and coherence between the classes’ number and the number of training sets are significant variables influencing the techniques’ performance.
  • 421
  • 01 Sep 2023
Topic Review
Denoising Technique for CT Images
Denoising computed tomography (CT) medical images is crucial in preserving information and restoring images contaminated with noise. Standard filters have extensively been used for noise removal and fine details’ preservation. During the transmission of medical images, noise degrades the visibility of anatomical structures and subtle abnormalities, making it difficult for radiologists to accurately diagnose and interpret medical conditions. 
  • 421
  • 07 Apr 2024
Topic Review
Autism with Optimized Machine Learning Models
Early diagnosis of autism is extremely beneficial for patients. Traditional diagnosis approaches have been unable to diagnose autism in a fast and accurate way; rather, there are multiple factors that can be related to identifying the autism disorder. The gene expression (GE) of individuals may be one of these factors, in addition to personal and behavioral characteristics (PBC). Machine learning (ML) based on PBC and GE data analytics emphasizes the need to develop accurate prediction models. The quality of prediction relies on the accuracy of the ML model. To improve the accuracy of prediction, optimized feature selection algorithms are applied to solve the high dimensionality problem of the datasets used. Comparing different optimized feature selection methods using bio-inspired algorithms over different types of data can allow for the most accurate model to be identified. 
  • 420
  • 05 May 2022
Topic Review
Program Animation
Program animation or Stepping refers to the now very common debugging method of executing code one "line" at a time. The programmer may examine the state of the program, machine, and related data before and after execution of a particular line of code. This allows evaluation of the effects of that statement or instruction in isolation and thereby gain insight into the behavior (or misbehavior) of the executing program. Nearly all modern IDEs and debuggers support this mode of execution. Some testing tools allow programs to be executed step-by-step optionally at either source code level or machine code level depending upon the availability of data collected at compile time.
  • 420
  • 30 Sep 2022
Topic Review
Analogical Models
Analogical models are a method of representing a phenomenon of the world, often called the "target system" by another, more understandable or analysable system. They are also called dynamical analogies. Two open systems have analog representations (see illustration) if they are black box isomorphic systems.
  • 420
  • 26 Oct 2022
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