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Topic Review
Approaches of Landslide Detection
Landslide detection can generally be categorized into two approaches: traditional methods of landslide identification and automatic identification methods based on machine learning algorithms. Traditional methods of landslide detection often rely on field surveys conducted by experienced geologists, complemented by instrumental imaging techniques for analysis. The second category predominantly utilizes pre-existing datasets of landslides and facilitates automatic identification through the construction of algorithmic models.
  • 289
  • 15 Aug 2023
Topic Review
Home-Based Rehabilitation (Shoulder) Using Auxiliary Systems and AI
Advancements in modern medicine have bolstered the usage of home-based rehabilitation services for patients, particularly those recovering from diseases or conditions that necessitate a structured rehabilitation process. Understanding the technological factors that can influence the efficacy of home-based rehabilitation is crucial for optimizing patient outcomes. As technologies continue to evolve rapidly, it is imperative to document the current state-of-the-art and elucidate the key features of the hardware and software employed in these rehabilitation systems.
  • 215
  • 15 Aug 2023
Topic Review
Prediction of Cellular Network Traffic
Cellular communication systems have continued to develop in the direction of intelligence. The demand for cellular networks is increasing as they meet the public’s pursuit of a better life. Accurate prediction of cellular network traffic can help operators avoid wasting resources and improve management efficiency. Traditional prediction methods can no longer perfectly cope with the highly complex spatiotemporal relationships of the current cellular networks, and prediction methods based on deep learning are constantly growing.
  • 220
  • 14 Aug 2023
Topic Review
Image-Based Fault Monitoring in Additive Manufacturing
Fault monitoring in additive manufacturing (AM) refers to the systematic process of monitoring and detecting deviations, anomalies, or faults during printing to ensure the printed parts’ quality, integrity, and reliability. It involves continuously monitoring the AM process’s critical parameters, variables, or characteristics and comparing them against predetermined thresholds or expected values. The goal is to identify and address any faults or anomalies that may compromise the final part’s quality or performance. It involves using various techniques, such as in-process monitoring, real-time data analysis, and automated systems, to identify faults or deviations from desired specifications. By monitoring parameters such as temperature, pressure, laser power, material flow, layer deposition, or surface quality, fault monitoring allows for the early detection of defects, material inconsistencies, structural irregularities, or printing errors.
  • 208
  • 14 Aug 2023
Topic Review
Fluid-Structure Interaction Methods in Biomechanics
Fluid-structure interaction algorithms are utilized to examine how the human circulatory system functions by simulating blood flow and capturing mechanical responses within blood vessels. These sophisticated algorithms take into account interactions between fluid dynamics, vessel walls, heart walls, and valves. By combining advanced medical imaging techniques with fluid-structure interaction models, it becomes possible to customize these models for individual patients. 
  • 372
  • 14 Aug 2023
Topic Review
Deep Learning in Arabic Tweets Fake News Detection
Fake news has been around for a long time, but the rise of social networking applications has rapidly increased the growth of fake news among individuals. Fake news negatively impacts various aspects of life (economical, social, and political). Identifying fake news manually on these open platforms would be challenging as they allow anyone to build networks and publish the news in real time. Therefore, creating an automatic system for recognizing news credibility on social networks relying on artificial intelligence techniques, including machine learning and deep learning, has attracted the attention of researchers. Using deep learning methods has shown promising results in recognizing fake news written in English. 
  • 286
  • 14 Aug 2023
Topic Review
Commerce Transaction Requests Encryption
The proliferation of wireless communication networks, credit cards, smartphones, and the continuous growth of e-commerce have led to increased product sales and delivery. E-commerce involves a complex system comprising various elements, including the Internet, online shopping websites, servers, payment methods, product delivery, and customers. However, the transactional information in e-commerce faces potential breaches and threats, emphasizing the need to protect data privacy. To ensure information security, researchers propose a high-performance and secure protocol.
  • 334
  • 14 Aug 2023
Topic Review
Epileptic Seizure Prediction Approaches
Electroencephalography (EEG) signals are the primary source for discriminating the preictal from the interictal stage, enabling early warnings before the seizure onset. Epileptic seizure prediction systems face significant challenges due to data scarcity, diversity, and privacy. 
  • 341
  • 11 Aug 2023
Topic Review
Industry 4.0, Cyber-Physical Systems and Smart Cyber-Physical Systems
Modern society is experiencing a significant transformation. Thanks to the digitization of society and manufacturing, mainly because of a combination of technologies, such as the Internet of Things, cloud computing, machine learning, smart cyber-physical systems, etc., which are making the smart factory and Industry 4.0 a reality. Most of the intelligence of smart cyber-physical systems is implemented in software.
  • 255
  • 11 Aug 2023
Topic Review
Multi-Resolution 3D Rendering for High-Performance Web AR
In the context of web augmented reality (AR), 3D rendering that maintains visual quality and frame rate requirements remains a challenge. The lack of a dedicated and efficient 3D format often results in the degraded visual quality of the original data and compromises the user experience. 
  • 245
  • 11 Aug 2023
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