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ISSN: 2667-2413

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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Eye fatigue estimation using blink detection based on Eye Aspect Ratio Mapping(EARM)

With the advent of the information society, the eyes' health is threatened all over the world. Rules and systems have been proposed to avoid these problems, but most users do not use them due to the...

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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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Overview of robotic grasp detection from 2D to 3D

With the wide application of robots in life and production, robotic grasping is also experiencing continuous development. However, in practical application, some external environmental factors and the...

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Development of a user-following mobile robot with a stand-up assistance function

In this paper, a user-following mobile robot which tracks and follows the user, offering stand-up assistance function is proposed. The proposed robot plays the role of a chair where the user can sit...

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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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Pinocchio: A language for action representation

The development of a language of action representation is a central issue for cognitive robotics, motor neuroscience, ergonomics, sport, and arts with a double goal: analysis and synthesis of action...

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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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Fine-grained regression for image aesthetic scoring

There are many tasks on image aesthetic assessment, such as aesthetic classification, scoring, score distribution prediction, and captions. Due to the distribution of the aesthetic score is unbalanced,...

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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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SMILE: A verbal and graphical user interface tool for speech-control of soccer robots in Ghana

SMILE (Smartphone Intuitive Likeness and Engagement) application, a portable Android application that allows a human to control a robot using speech input. SMILE is a novel open source and platform...

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A survey on robots controlled by motor imagery brain-computer interfaces

A brain-computer interface (BCI) can provide a communication approach conveying brain information to the outside. Especially, the BCIs based on motor imagery play the important role for the brain-controlled...

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MetaSeg: A survey of meta-learning for image segmentation

Big data-driven deep learning methods have been widely used in image or video segmentation. However, in practical applications, training a deep learning model requires a large amount of labeled data,...

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Visual information processing for deep-sea visual monitoring system

Due to the rising demand for minerals and metals, various deep-sea mining systems have been developed for the detection of mines and mine-like objects on the seabed. However, many of them contain some...

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