AIMC Topic: Algorithms

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ResNet-50 based technique for EEG image characterization due to varying environmental stimuli.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Emotion is an important factor affecting a person's physical and mental health, but there are few ways to detect a patient's emotions in daily life. Negative emotions not only affect recovery after treatment, but also cause ...

A Classification Method for Electronic Components Based on Siamese Network.

Sensors (Basel, Switzerland)
In the field of electronics manufacturing, electronic component classification facilitates the management and recycling of the functional and valuable electronic components in electronic waste. Current electronic component classification methods are ...

An Augmented Reality-Assisted Prognostics and Health Management System Based on Deep Learning for IoT-Enabled Manufacturing.

Sensors (Basel, Switzerland)
With increasingly advanced Internet of Things (IoT) technology, the composition of workshop equipment has become more and more complex. Based on this, the rate of system performance degradation and the probability of fault have both increased. Owing ...

Developing Graph Convolutional Networks and Mutual Information for Arrhythmic Diagnosis Based on Multichannel ECG Signals.

International journal of environmental research and public health
Cardiovascular diseases, like arrhythmia, as the leading causes of death in the world, can be automatically diagnosed using an electrocardiogram (ECG). The ECG-based diagnostic has notably resulted in reducing human errors. The main aim of this study...

Research on Land Utilization Spatial Classification Planning Method Based on Multiocular Vision.

Computational and mathematical methods in medicine
With the development of China's social economy as well as the accelerating urbanization construction and the expanding scale of cities, the integration of land use and urban land classification based on land use spatial planning has become an importa...

Application of Convolutional Neural Network in Motor Bearing Fault Diagnosis.

Computational intelligence and neuroscience
In the field of mechanical and electrical equipment, the motor rolling bearing is a workpiece that is extremely prone to damage and failure. However, the traditional fault diagnosis methods cannot keep up with the development pace of the times becaus...

Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications.

Artificial intelligence in medicine
BACKGROUND: The application of artificial intelligence to interpret the electrocardiogram (ECG) has predominantly included the use of knowledge engineered rule-based algorithms which have become widely used today in clinical practice. However, over r...

Rich learning representations for human activity recognition: How to empower deep feature learning for biological time series.

Journal of biomedical informatics
Deep learning versus feature engineering has drawn significant attention specifically for applications where expertly crafted features have been used for decades. Human activity recognition is no exception where statistical and motion specific featur...

Deep Learning-Based 3D Measurements with Near-Infrared Fringe Projection.

Sensors (Basel, Switzerland)
Fringe projection profilometry (FPP) is widely applied to 3D measurements, owing to its advantages of high accuracy, non-contact, and full-field scanning. Compared with most FPP systems that project visible patterns, invisible fringe patterns in the ...

Cybercrime: Identification and Prediction Using Machine Learning Techniques.

Computational intelligence and neuroscience
In the world of cyber age, cybercrime is spreading its root extensively. Supervised classification methods such as the support vector machine (SVM) and K-nearest neighbor (KNN) models are employed for the classification of cybercrime data. Likewise, ...