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Topic Review
Gabor Filters
The use of Gabor filters in image processing has been well-established, and these filters are recognized for their exceptional feature extraction capabilities. These filters are usually applied through convolution.
  • 287
  • 19 Dec 2023
Topic Review
Integration of Deep Learning into the IoT
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating interconnected and intelligent devices across multifarious domains. The proliferation of IoT devices has resulted in an unprecedented surge of data, presenting formidable challenges concerning efficient processing, meaningful analysis, and informed decision making. Deep-learning (DL) methodologies, notably convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep-belief networks (DBNs), have demonstrated significant efficacy in mitigating these challenges by furnishing robust tools for learning and extraction of insights from vast and diverse IoT-generated data.
  • 230
  • 19 Dec 2023
Topic Review
Detecting Photovoltaic Panels in Aerial Images
The detection of photovoltaic panels from images is an important field, as it leverages the possibility of forecasting and planning green energy production by assessing the level of energy autonomy for communities. This entry provides a summary of approaches proposed in the literature for detecting photovoltaic panels from remote sensing imagery. These methodologies encompass machine learning, deep learning, spectral information analysis, and colour analysis.
  • 200
  • 19 Dec 2023
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.
  • 216
  • 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.
  • 161
  • 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.
  • 380
  • 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.
  • 204
  • 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.
  • 438
  • 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.
  • 212
  • 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.
  • 194
  • 18 Dec 2023
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