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Topic Review
Integration of Security Practices in Agile Software Development
Software development must be based on more than just the experience and capabilities of your programmers and your team. The importance of obtaining a quality product lies in the risks that can be exploited by software vulnerabilities, which can jeopardize organizational assets, consumer confidence, operations, and a broad spectrum of applications. 
  • 199
  • 03 Nov 2023
Topic Review
Intrusion Detection in IoT Networks
The Internet of Things (IoT) is expanding rapidly and is becoming increasingly crucial to how we live our daily lives. Internet protocol addresses can be used by IoT nodes for connecting to the Internet. Intrusion detection systems (IDSs) guarantee both the security posture and defense against intrusions of IoT devices.
  • 271
  • 03 Nov 2023
Topic Review
Damaged QR Code Reconstruction
QR codes often become difficult to recognize due to damage. Traditional restoration methods exhibit a limited effectiveness for severely damaged or densely encoded QR codes, are time-consuming, and have limitations in addressing extensive information loss.
  • 1.4K
  • 02 Nov 2023
Topic Review
Efficient Approximate Analytics of Georeferenced Big Data
The unprecedented availability of sensor networks and GPS-enabled devices has caused the accumulation of voluminous georeferenced data streams. These data streams offer an opportunity to derive valuable insights and facilitate decision making for urban planning.
  • 302
  • 02 Nov 2023
Topic Review
Transformer-Based Model for Predicting Customers’ NPD in e-Commerce
Transformers offer advantages in capturing long-term dependencies within time series data through self-attention mechanisms. This adaptability to various time series patterns, including trends, seasonality, and irregularities, makes them a promising choice for next purchase day (NPD) prediction. The transformer model demonstrates improvements in prediction accuracy compared to the baselines. 
  • 244
  • 02 Nov 2023
Topic Review
Blockchain-Assisted Cybersecurity for the Internet of Medical Things
The Internet of Medical Things (IoMT) plays an important role in strengthening sustainable healthcare systems. IoMT significantly influences our healthcare because it facilitates monitoring and checking patient medical information before transferring the data to a cloud network for future use. The IoMT is a big-data platform which is growing rapidly, so it is critical to maintain all data safely and securely.
  • 232
  • 01 Nov 2023
Topic Review
Home Automation Networks
Home automation technologies are a vital part of humanity, as they provide convenience in otherwise mundane and repetitive tasks. Given the development of the Internet of Things (IoT) and artificial intelligence (AI) sectors, these technologies have seen a tremendous rise, both in the methodologies utilized and in their industrial impact.
  • 159
  • 01 Nov 2023
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.
  • 185
  • 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.
  • 169
  • 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
  • 316
  • 01 Nov 2023
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