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Topic Review
Threat Challenges on RFID Based NFC Applications
The IoT involves Radio Frequency Identification (RFID) as a part of the infrastructure that helps with the data gathering from different types of sensors. In general, security worries have increased significantly as these types of technologies have become more common.
  • 195
  • 01 Nov 2023
Topic Review
AI-Based Model for Knowledge Evaluation in Public Organizations
In the construction of knowledge bases, it is very important to evaluate the quality of the knowledge entered into them. Artificial Intelligence (AI) development has led to the research of knowledge management tools for multi-user environments, among many other AI applications. In the knowledge management field, the construction of ontologies as knowledge repositories using various sources requires a means of evaluation of all: the input ontologies and the integration process on the output ontology. The results obtained from the evaluations serve as guides to measure the quality of the repository.
  • 181
  • 01 Nov 2023
Topic Review
A Symbol Recognition System for Single-Line Diagrams Developed
In numerous electrical power distribution systems and other engineering contexts, single-line diagrams (SLDs) are frequently used. The importance of digitizing these images is growing. This is primarily because better engineering practices are required in areas such as equipment maintenance, asset management, safety, and others. Processing and analyzing these drawings, however, is a difficult job. With enough annotated training data, deep neural networks perform better in many object detection applications. Based on deep-learning techniques, a dataset can be used to assess the overall quality of a visual system
  • 330
  • 01 Nov 2023
Topic Review
Virtual and Physical Robot Arms Using Augmented Reality
The use of robot arms in various industrial settings has changed the way tasks are completed. However, safety concerns for both humans and robots in these collaborative environments remain a critical challenge. Traditional approaches to visualising safety zones, including physical barriers and warning signs, may not always be effective in dynamic environments or where multiple robots and humans are working simultaneously. Mixed reality technologies offer dynamic and intuitive visualisations of safety zones in real time, with the potential to overcome these limitations.
  • 258
  • 31 Oct 2023
Topic Review
Models and Tools for Developing Serious Games
Serious games (SG), (video games with an educational purpose), provide teachers with tools to strengthen their students’ knowledge. Developing a SG requires knowledge, time, and effort. As a result, specialized tools to aid in the development process are needed.
  • 513
  • 31 Oct 2023
Topic Review
An AI-Based Framework for Translating American Sign Language
Communication is an essential part of life, without which life would be very difficult. Each living being in the world communicates in their own way. American Sign Language (ASL) is a sign language used by deaf and hearing impaired people in the United States and Canada, devised in part by Thomas Hopkins Gallaudet and Laurent Clerc based on sign language in France.
  • 239
  • 31 Oct 2023
Topic Review
Facility Location Problem
The facility location problem (FLP) is a complex optimization problem that has been widely researched and applied in industry.
  • 293
  • 31 Oct 2023
Topic Review
Brain Tumor Segmentation from MRI Images
Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the diagnosis, treatment planning, and monitoring of therapeutic outcomes.
  • 245
  • 31 Oct 2023
Topic Review
A Generative Adversarial Network Technique for Ransomware Behavior Prediction
The ransomware attacks threaten not only personal files but also critical infrastructure like smart grids, necessitating early detection before encryption occurs. Current methods, reliant on pre-encryption data, suffer from insufficient and rapidly outdated attack patterns, despite efforts to focus on select features. Such an approach assumes that the same features remain unchanged. This approach proves ineffective due to the polymorphic and metamorphic characteristics of ransomware, which generate unique attack patterns for each new target, particularly in the pre-encryption phase where evasiveness is prioritized. 
  • 380
  • 30 Oct 2023
Topic Review
Automatic Genre Identification for Massive Text Collections
Automatic genre identification is a text classification task, as a method of providing insights into the content of large text collections. It evaluates various machine learning models for their generalization capabilities, including pre-Transformer approaches, BERT-like encoder models and instruction-tuned GPT large language models. As a result, it introduces the first publicly-available benchmark for this task. What is more, a high-performing genre classifier that can be applied to numerous languages is introduced.
  • 210
  • 30 Oct 2023
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