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Topic Review
Cross-Parallel Vision Transformers for Medical Image Segmentation
Medical image segmentation primarily utilizes a hybrid model consisting of a Convolutional Neural Network and sequential Transformers. The latter leverage multi-head self-attention mechanisms to achieve comprehensive global context modelling. However, despite their success in semantic segmentation, the feature extraction process is inefficient and demands more computational resources, which hinders the network’s robustness. To address this issue, this research presents two innovative methods: PTransUNet (PT model) and C-PTransUNet (C-PT model). The C-PT module refines the Vision Transformer by substituting a sequential design with a parallel one. This boosts the feature extraction capabilities of Multi-Head Self-Attention via self-correlated feature attention and channel feature interaction, while also streamlining the Feed-Forward Network to lower computational demands.
  • 204
  • 18 Dec 2023
Topic Review
Automatic Navigation Approaches for Flying Robots
Various approaches to achieve autonomous flight have been proposed in the literature, which can be broadly categorized into the following three types: (1) Trajectory-based optimization methods: These methods involve designing a set of optimal trajectories that the robot should follow to reach its destination; (2) Imitation-learning-based methods; (3) Reinforcement-learning-based methods.
  • 144
  • 18 Dec 2023
Topic Review
Routing Protocol for Wireless Sensor Networks
Wireless sensor networks (WSNs), constrained by limited resources, demand routing strategies that prioritize energy efficiency. The tactic of cooperative routing, which leverages the broadcast nature of wireless channels, has garnered attention for its capability to amplify routing efficacy.
  • 358
  • 18 Dec 2023
Topic Review
Security Analysis of Embedded Devices
Embedded devices are pervasive nowadays with the rapid development of the Internet of Things (IoT). This brings significant security issues that make the security analysis of embedded devices important.
  • 159
  • 18 Dec 2023
Topic Review
Stereo Matching Algorithm
With the advancement of artificial intelligence technology and computer hardware, the stereo matching algorithm has been widely researched and applied in the field of image processing. In scenarios such as robot navigation and autonomous driving, stereo matching algorithms are used to assist robots in acquiring depth information about the surrounding environment, thereby improving the robot’s ability for autonomous navigation during self-driving.
  • 408
  • 18 Dec 2023
Topic Review
Vision-Based Pose Estimation of Non-Cooperative Target
In the realm of non-cooperative space security and on-orbit service, a significant challenge is accurately determining the pose of abandoned satellites using imaging sensors. Traditional methods for estimating the position of the target encounter problems with stray light interference in space, leading to inaccurate results.
  • 186
  • 18 Dec 2023
Topic Review
Human Gait Activity Based on Multimodal Sensors
Remote health monitoring plays a significant role in research areas related to medicine, neurology, rehabilitation, and robotic systems. These applications include Human Activity Recognition (HAR) using wearable sensors, signal processing, mathematical methods, and machine learning to improve the accuracy of remote health monitoring systems.
  • 182
  • 18 Dec 2023
Topic Review
A Unified Framework for RGB-Infrared Transfer
Infrared(IR) images (both 0.7-3 µm and 8-15 µm) offer radiation intensity texture information that visible images lack, making them particularly helpful in daytime, nighttime, and complex scenes. Many researchers are studying how to translate RGB images into infrared images for deep learning-based visual tasks such as object tracking, crowd counting, panoramic segmentation, and image fusion in urban scenarios. The utilization of the RGB-IR dataset in the aforementioned tasks holds the potential to provide comprehensive multi-band fusion data for urban scenes, thereby facilitating precise modeling across different scenarios. In addressing the challenge of accurately generating high-radiance textures for the targets in the infrared spectrum, the proposed approach aims to ensure alignment between the generated infrared images and the radiation feature of ground-truth IR images.
  • 242
  • 18 Dec 2023
Topic Review
Random Forest, Feedforward Neural Network, GRU and FinGAT
Stock prediction has garnered considerable attention among investors, with a recent focus on the application of machine learning techniques to enhance predictive accuracy. Prior research has established the effectiveness of machine learning in forecasting stock market trends, irrespective of the analytical approach employed, be it technical, fundamental, or sentiment analysis. 
  • 236
  • 18 Dec 2023
Topic Review
Blockchain-Based Identity and Access Management
Identity and Access Management (IAM) has the ability to provide defense against a great number of security threats. While decentralization of IoT seems to be a solution for improved resource management and scalability, most of the services remain centralized exposing IoT systems to malicious attacks. Blockchain however, is a technology which can natively support decentralization as well as access and authorization management techniques, by using the corresponding programmable logic and leveraging cryptographic mechanisms for privacy and security. Using standardized frameworks (e.g., Decentralized Identifiers and Verifiable Credentials), a blockchain-based access and authorization solution can present the basis for a uniform decentralized IAM framework not only for IoT, but for decentralized systems in general. The two main issues which stand between such a radical system and its broad use are firstly, to be able to seamlessly integrate blockchain and provide the basis for a decentralized IAM framework, while secondly (and most importantly) resolving the challenge of integrating within existing IoT (or other) systems, avoiding redesigning and redeveloping on behalf of the manufacturers.
  • 232
  • 15 Dec 2023
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