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Topic Review
Security and Trust Management in the IoV
The Internet of Vehicles (IoV) is a technology that is connected to the public internet and is a subnetwork of the Internet of Things (IoT) in which vehicles with sensors are connected to a mobile and wireless network. Numerous vehicles, users, things, and networks allow nodes to communicate information with their surroundings via various communication channels. IoV aims to enhance the comfort of driving, improve energy management, secure data transmission, and prevent road accidents.
  • 138
  • 18 Jan 2024
Topic Review
Techniques for Credit Card Fraud Detection
Fraudulent activities are on the rise within the financial sector, with an escalating trend observed in credit card fraud. The incidence of credit card fraud is expanding swiftly in tandem with the increasing daily usage of credit cards. The Federal Trade Commission (FTC) report underscores the severity of the issue, noting that 2021 marked the most challenging year in history for identity theft. It is crucial to note that many cases of identity theft go unreported, suggesting that the actual number may surpass the reported figures. The FTC report emphasises the need for innovative approaches to safeguard the financial well-being of both consumers and businesses. In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. 
  • 123
  • 17 Jan 2024
Topic Review
A Smart Grid and the Vehicle-to-Grid/Grid-to-Vehicle Problem
The smart grid constitutes an important emerging application domain for artificial intelligence and multiagent systems (MAS). In the smart grid, energy and information both flow over electricity distribution and transmission networks in all possible directions. As such, buildings, as well as electric vehicles (EVs), become active energy consumers and/or producers, and the need for their effective integration into the system arises. Not only is the smart grid an electricity network with diverse consumers and producers, it is also a dynamic marketplace where heterogeneous devices appear and need to connect and interoperate. 
  • 204
  • 17 Jan 2024
Topic Review
Intelligent Source Code Completion Assistants
As artificial intelligence advances, source code completion assistants are becoming more advanced and powerful. Existing traditional assistants are no longer up to all the developers’ challenges. Traditional assistants usually present proposals in alphabetically sorted lists, which does not make a developer’s tasks any easier (i.e., they still have to search and filter an appropriate proposal manually). As a possible solution to the presented issue, intelligent assistants that can classify suggestions according to relevance in particular contexts have emerged. Artificial intelligence methods have proven to be successful in solving such problems. Advanced intelligent assistants not only take into account the context of a particular source code but also, more importantly, examine other available projects in detail to extract possible patterns related to particular source code intentions. This is how intelligent assistants try to provide developers with relevant suggestions. 
  • 204
  • 17 Jan 2024
Topic Review
U-Shaped Conveyor Assembly Line Balancing Problem
Conveyors are used when material is to be moved frequently between specific points. Line balancing involves allocating an equal amount of work to each workstation along the line. The fundamental line balancing problem is to assign a set of tasks to an ordered set of workstations, so that the precedence relationships are satisfied and some measure of performance is optimized.
  • 161
  • 17 Jan 2024
Topic Review
Machine Learning-Based for Congenital Heart Disease
Congenital heart disease (CHD) represents a multifaceted medical condition that requires early detection and diagnosis for effective management, given its diverse presentations and subtle symptoms that manifest from birth. IoMT addresses the crucial challenge of timely identification and detection of cardiovascular diseases by utilizing IoMT data, aiming to enhance the accuracy and efficiency of diagnosis, which in turn enables prompt intervention and improves patient outcomes. 
  • 227
  • 16 Jan 2024
Topic Review
Cultural Heritage Buildings in Athens
Architectural structures, the basic elements of the urban web, are an aggregation of buildings that have been built at different times, with different materials, and in different styles. Through research, they can be divided into groups that present common morphological attributes and refer to different historical periods with particular social, economic, and cultural characteristics.
  • 96
  • 16 Jan 2024
Topic Review
Automated Privacy Policy Analysis
Privacy policies are the main method for informing Internet users of how their data are collected and shared. Automated privacy policy analysis, including machine learning methods, has grown in popularity during the last decade. The main goal is to grant users a better understanding of how their data are used and help them make informed decisions regarding their privacy.
  • 235
  • 16 Jan 2024
Topic Review
Robot Task Modeling and Notation 2.0
RTMN 2.0, an extension of the modeling language RTMN. RTMN combines process modeling and robot execution. Intuitive robot programming allows those without programming expertise to plan and control robots through easily understandable predefined modeling notations. These notations achieve no-code programming and serve as templates for users to create their processes via drag-and-drop functions with graphical representations.
  • 168
  • 15 Jan 2024
Topic Review
Medical Case-Based Multiple-Choice Questions
Moving from old-style multiple-choice questions (MCQs) to ones that are more related to real clinical situations is really important. It helps in growing critical thinking and practical use, especially since MCQs are still the primary method for testing knowledge in medicine.
  • 301
  • 15 Jan 2024
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