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Topic Review
Deep Learning in Whole Slide Imaging for Cancer
The significant progress made in the field of cancer prognosis using whole slide images (WSIs) is encouraging, indicating a promising future for cancer diagnosis and management. The ability to accurately predict survival rates and recurrence risk using deep learning methods has significant implications for clinical practice and patient care. As more sophisticated models and techniques are developed, the potential to revolutionize the field of oncology is immense.
  • 251
  • 02 Aug 2023
Topic Review
Dynamic Branch Prediction in an Intel High-Performance Processor
Power and energy efficiency are among the most crucial requirements in high-performance and other computing platforms. Extensive experimental methods and procedures were used to assess the power and energy efficiency of fundamental hardware building blocks inside a typical high-performance CPU, focusing on the dynamic branch predictor (DBP).
  • 212
  • 01 Aug 2023
Topic Review
Consumer Subjective Impressions in Virtual Reality Environments
The availability and affordability of consumer virtual reality (VR) devices have fueled their adoption during the product design process. High fidelity virtual prototypes can be created more quickly and are more cost-effective than using traditional methods, but certain product features are still difficult to evaluate, resulting in perceptual differences when a product is assessed using different visualization techniques.
  • 209
  • 01 Aug 2023
Topic Review
Digital Twin Applications for Microgrids Components
The concept of the digital twin (DT) has been adopted as an important aspect in digital transformation of power systems. Microgrids (MG) can be seen as scaled-down versions of a centralised power system. A microgrid is a local power network that acts as a dependable island within bigger regional and national electricity networks, providing power without interruption even when the main grid is down. Microgrids are essential components of smart cities that are both resilient and sustainable, providing smart cities the opportunity to develop sustainable energy delivery systems.
  • 523
  • 31 Jul 2023
Topic Review
IoT-Enabled Systems’ Cybersecurity
Internet of Things (IoT) faces security concerns different from existing challenges in conventional information systems connected through the Internet because of their limited resources and heterogeneous network setups.
  • 278
  • 31 Jul 2023
Topic Review
LiFi- and WiFi-Based Communication P2P Networks
Peer-to-Peer (P2P) networks have emerged as potential solutions to issues that cause inefficient download times in networks because they can use the resources in the entire network, allowing nodes to act both as servers and clients simultaneously.
  • 372
  • 31 Jul 2023
Topic Review
Lightweight Convolutional Neural Network
Biometrics has become an important research issue, and the use of deep learning neural networks has made it possible to develop more reliable and efficient recognition systems. Palms have been identified as one of the most promising candidates among various biometrics due to their unique features and easy accessibility.
  • 566
  • 31 Jul 2023
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.
  • 542
  • 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.
  • 287
  • 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.
  • 284
  • 31 Jul 2023
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