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Topic Review
Safety and Security Issues in the IoT Domain
The Internet of Things (IoT), which is developing quickly, has continued to provide humanity with many advantages, including many applications crucial for security and safety. The assurance that IoT devices will not pose a risk to people or the environment is necessary to realise the full potential of IoT applications, particularly in high-consequence areas. To develop safe, secure, and dependable IoT systems, it is necessary to comprehend a wide range of safety and security issues across the IoT's architectural frameworks and levels. As a result, among other attributes of dependable IoT systems, this research outlines safety and security features.
  • 559
  • 31 Jul 2023
Topic Review
Near-Infrared Band Simulation Using Conditional Generative Adversarial Network
Multispectral sensors are important instruments for Earth observation. In remote sensing applications, the near-infrared (NIR) band, together with the visible spectrum (RGB), provide abundant information about ground objects.
  • 303
  • 31 Jul 2023
Topic Review
Anti-Aliasing Attention U-net Model for Skin Lesion Segmentation
The need for a lightweight and reliable segmentation algorithm is critical in various biomedical image-prediction applications. However, the limited quantity of data presents a significant challenge for image segmentation. Additionally, low image quality negatively impacts the efficiency of segmentation, and previous deep learning models for image segmentation require large parameters with hundreds of millions of computations, resulting in high costs and processing times.
  • 304
  • 31 Jul 2023
Topic Review
Test-Time Augmentation for Network Anomaly Detection
Machine learning-based Network Intrusion Detection Systems (NIDS) are designed to protect networks by identifying anomalous behaviors or improper uses. In recent years, advanced attacks, such as those mimicking legitimate traffic, have been developed to avoid alerting such systems. Test-Time Augmentation for Network Anomaly Detection (TTANAD), which utilizes test-time augmentation to enhance anomaly detection from the data side.
  • 203
  • 28 Jul 2023
Topic Review
Towards Enabling Haptic Communications over 6G
The developments in communication networks enable many applications including high quality audio/video sharing. Mobile communication has become an essential component of present-day life. It plays an important role in the economy, health, education, and many other industries. Most of the population is connected through mobile communication networks globally. After successfully connecting billions of smartphones and laptops through mobile internet, the focus of mobile internet has now been diverted towards the ubiquitous connectivity of multiple devices and machines, hence creating the Internet of Things (IoT). This transition has led mankind towards remote communication between a human being and some kind of physical device. Such data-intensive communications can result in mediums where the human beings can interact with each other remotely by touch (haptic communication) or actuation.
  • 272
  • 28 Jul 2023
Topic Review
Finger Vein Verification
Traditional technologies of personal identity authentication (e.g., tokens, cards, PINs) have been gradually replaced by some more-advanced biometrics technologies, including faces, retinas, irises, fingerprints, veins, etc. Among these, the finger vein (FV) trait, due to its unique advantages of high security, the living requirement, being non-contact, and not easily being injured or counterfeited, has drawn extensive attention after it appeared. Different from some visual imaging traits such as faces and fingerprints, the main veins in the fingers tend to be longitudinally distributed in the subcutaneous regions.
  • 329
  • 28 Jul 2023
Topic Review
Recursive Decomposition–Reconstruction–Ensemble Method with Complexity Traits
The subject of oil price forecasting has obtained an incredible amount of interest from academics and policymakers in recent years due to the widespread impact that it has on various economic fields and markets. Thus, a novel method based on decomposition–reconstruction–ensemble for crude oil price forecasting is proposed. Based on the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) technique,  a recursive CEEMDAN decomposition–reconstruction–ensemble model considering the complexity traits of crude oil data was constructed. In this model, the steps of mode reconstruction, component prediction, and ensemble prediction are driven by complexity traits. For illustration and verification purposes, the West Texas Intermediate (WTI) and Brent crude oil spot prices are used as the sample data. The empirical result demonstrates that the proposed model has better prediction performance than the benchmark models.
  • 280
  • 28 Jul 2023
Topic Review
Trust Management Model for Secure Internet of Vehicles
The Internet of Vehicles (IoV) enables vehicles to share data that help vehicles perceive the surrounding environment. However, vehicles can spread false information to other IoV nodes; this incorrect information misleads vehicles and causes confusion in traffic, therefore, a vehicular trust model is needed to check the trustworthiness of the message. 
  • 377
  • 28 Jul 2023
Topic Review
Anchor Assignment in Object Detection
Due to the advantages of edge computing in terms of latency, bandwidth, and security, it provides more effective technical support for many applications that require real-time security. A security system is one of the applications for edge computing in Internet of Things (IoT), where the core end device is a camera for surveillance and smart security. Smart security based on object detection is one of the important applications of edge computing in IoT. Anchors in object detection refer to points on the feature map, which can be used to generate anchor boxes and serve as training samples. The training samples in object detection use anchors, which are feature points on the feature map that can be used for classification and regression.
  • 439
  • 28 Jul 2023
Topic Review
Maintenance for Offshore Wind Turbine Farms
The rapid increase in the use of renewable electricity, driven by the development of photovoltaic technologies and wind farms, compels the development of appropriate facilities to ensure their maintenance. Since wind farms are more efficient than traditional sources of electricity and their share in global electricity production is prominent, the development of techniques and maintenance methods dedicated to wind farms will also be prominent. The logistics and supply chain management of offshore wind turbine farms (OWFs) maintenance have a fundamental impact on their availability and, as a result, profitability.
  • 338
  • 28 Jul 2023
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