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ISSN: 2667-2413

Mental simulation of actions for learning optimal poses

Mental simulation of actions is a powerful tool for allowing cognitive agents to develop Prospection Capabilities that are crucial for learning and memorizing key aspects in challenging actions. In...

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Fault diagnosis using transfer learning with dynamic multiscale representation

A critical problem for fault diagnosis is caused by the feature shift under different working conditions, which significantly degenerates the diagnosis accuracy in practice. Aiming to solve this problem,...

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Scientific visualization for advanced deep-sea exploration equipment and underwater automatic manipulation

Scientific visualization is important in modern technological activities and engineering exploration. Due to the dark and high-pressure characteristics of deep sea, it is difficult to visualize the...

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A computing offloading strategy for UAV based on improved bat algorithm

In the process of multi-UAVs cooperative reconnaissance operations, due to the limited battery capacity and computing resources of the unmanned aerial vehicle (UAV), processing tasks can not only lead...

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Resource allocation in UAV assisted air ground intelligent inspection system

With the progress of power grid technology and intelligent technology, intelligent inspection robot (IR) came into being and are expected to become the main force of substation inspection in the future....

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Medical named entity recognition based on dilated convolutional neural network

Named entity recognition (NER) is a fundamental and important task in natural language processing. Existing methods attempt to utilize convolutional neural network (CNN) to solve NER task. However,...

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Machine learning model for discrimination of mild dementia patients using acoustic features

In previous research on dementia discrimination by voice, a method using multiple acoustic features by machine learning has been proposed. However, they do not focus on speech analysis in mild dementia...

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Research on improved full-factor deep information mining algorithm

In the use of fire-fighting physics platform for fire alarm data correlation analysis, there are often problems such as too much data volume and insufficient accuracy of the analysis results. For such...

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A sliding mode and non-linear disturbance observer based bilateral control for telerehabilitation systems with flexible manipulators

Aiming at achieving high flexibility and safety, telerehabilitation systems and telesurgery systems often use flexible manipulators in the telerehabilitation systems. However, due to the structure of...

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A pneumatic conveyor robot for color detection and sorting

Despite numerous research works on conveyor robots, few works can be found on electropneumatic conveyor belt robots with two separated lines. The unique feature of this study is a combination of various...

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DCTNets: Deep crowd transfer networks for an approximate crowd counting

Due to the numerous real-world applications of the crowd counting job, it has become a popular research topic. Modern crowd counting systems have a sophisticated structure and employ a filter on a big...

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Spread-based elite opposite swarm optimizer for large scale optimization

To prevent the traditional particle swarm optimizer (PSO) from inefficient search in complex problem spaces, this paper presents a novel spread-based elite opposite swarm optimizer (SEOSO) for large...

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Survey of emotion recognition methods using EEG information

Emotion is an indispensable part of human emotion, which affects human normal physiological activities and daily life decisions. Human emotion recognition is a critical technology in artificial intelligence,...

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Knowledge graph embedding based on semantic hierarchy

In view of the current knowledge graph embedding, it mainly focuses on symmetry/opposition, inversion and combination of relationship patterns, and does not fully consider the structure of the knowledge...

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Research on plant disease identification based on CNN

Traditional digital image processing methods extract disease features manually, which have low efficiency and low recognition accuracy. To solve this problem, In this paper, we propose a convolutional...

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A survey of quantum computing hybrid applications with brain-computer interface

In recent years, researchers have paid more attention to the hybrid applications of quantum computing and brain-computer interfaces. With the development of neural technology and artificial intelligence,...

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Spatiotemporal cue fusion-based saliency extraction and its application in video compression

Extracting salient regions plays an important role in computer vision tasks, e.g., object detection, recognition and video compression. Previous saliency detection study is mostly conducted on individual...

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Panoptic segmentation network based on fusion coding and attention mechanism

Aiming at the problem that the panoptic segmentation network based on coding structure can't accurately extract the detailed information of panoptic images, considering that there are some commonalities...

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MCCA-Net: Multi-color convolution and attention stacked network for Underwater image classification

Underwater images are serious problems affected by the absorption and scattering of light. At present, the existing sharpening methods can't effectively solve all underwater image degradation problems,...

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A novel level set model initialized with guided filter for automated PET-CT image segmentation

Positron emission tomography (PET) and computed tomography (CT) scanner image analysis plays an important role in clinical radiotherapy treatment. PET and CT images provide complementary cues for identifying...

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Significant applications of Cobots in the field of manufacturing

The term "collaborative robot" is commonly known as Cobot, which refers to a partnership between a robot and a human. Aside from providing physical contact between a robot and a person on the same production...

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3D object detection using improved PointRCNN

Recently, two-dimensional object detection (2D object detection) has been introduced in numerous applications such as building exterior diagnosis, crime prevention and surveillance, and medical fields....

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Research and application of UAV-based hyperspectral remote sensing for smart city construction

Hyperspectral remote sensing has been an important technical means to obtain more refined information and provide rich, accurate, and reasonable data for the quantitative analysis and delicacy management...

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