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ISSN: 2667-2413

Substantial capabilities of robotics in enhancing industry 4.0 implementation

There is the increased application of new technologies in manufacturing, service, and communications. Industry 4.0 is the new fourth industrial revolution, which supports organisational efficiency....

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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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Review of the emotional feature extraction and classification using EEG signals

As a subjectively psychological and physiological response to external stimuli, emotion is ubiquitous in our daily life. With the continuous development of the artificial intelligence and brain science,...

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Recent trending on learning based video compression: A survey

The increase of video content and video resolution drive more exploration of video compression techniques recently. Meanwhile, learning-based video compression is receiving much attention over the past...

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A Survey Of zero shot detection: Methods and applications

Zero shot learning (ZSL) is aim to identify objects whose label is unavailable during training. This learning paradigm makes classifier has the ability to distinguish unseen class. The traditional ZSL...

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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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A review of electroencephalogram signal processing methods for brain-controlled robots

Brain-computer interface (BCI) based on electroencephalogram (EEG) signals can provide a way for human to communicate with the outside world. This approach is independent of the body's peripheral nerves...

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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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Deep learning method for makeup style transfer: A survey

Makeup transfer is one of the applications of image style transfer, which refers to transfer the reference makeup to the face without makeup, and maintaining the original appearance of the plain face...

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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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Unbundling the significance of cognitive robots and drones deployed to tackle COVID-19 pandemic: A rapid review to unpack emerging opportunities to improve healthcare in sub-Saharan Africa

The emergence of COVID-19 brought unprecedented opportunities to deploy emerging digital technologies such as robotics and drones to provide contactless services. Robots and drones transformed initial...

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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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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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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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Vision-based intelligent path planning for SCARA arm

This paper proposes a novel algorithm combining object detection and potential field algorithm for autonomous operation of SCARA arm. The start, obstacles, and goal states are located and detected through...

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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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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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Characteristics based visual servo for 6DOF robot arm control

Visual servo is a method for robot arm motion control. It is controlled by the end effector velocity that is the result in calculating the internal Jacobi matrix and vector of feature error. In general,...

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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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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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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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Control-theory based security control of cyber-physical power system under multiple cyber-attacks within unified model framework

•In previous work, the study of cyber-attack is often focusing on a single type. While, in this paper, multiple cyber-attacks (including Denial-of-service, information disclosure, replay attack and...

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Large scale log anomaly detection via spatial pooling

Log data is an important clue to understanding the behaviour of a system at runtime, but the complexity of software systems in recent years has made the data that engineers need to analyse enormous...

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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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