AIMC Topic: Neural Networks, Computer

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Research on Classification of Fine-Grained Rock Images Based on Deep Learning.

Computational intelligence and neuroscience
Rock classification is a significant branch of geology which can help understand the formation and evolution of the planet, search for mineral resources, and so on. In traditional methods, rock classification is usually done based on the experience o...

Spoken Language Identification Using Deep Learning.

Computational intelligence and neuroscience
The process of detecting language from an audio clip by an unknown speaker, regardless of gender, manner of speaking, and distinct age speaker, is defined as spoken language identification (SLID). The considerable task is to recognize the features th...

Sports Training System Based on Convolutional Neural Networks and Data Mining.

Computational intelligence and neuroscience
In recent years, China's sports industry has achieved good development, but the efficiency of athletes in the training process is difficult to have scientific guarantee. How to use scientific algorithm and data mining technology to accurately guide t...

The Role of Surface Electromyography in Data Fusion with Inertial Sensors to Enhance Locomotion Recognition and Prediction.

Sensors (Basel, Switzerland)
Locomotion recognition and prediction is essential for real-time human-machine interactive control. The integration of electromyography (EMG) with mechanical sensors could improve the performance of locomotion recognition. However, the potential of E...

Improving the Event-Based Classification Accuracy in Pit-Drilling Operations: An Application by Neural Networks and Median Filtering of the Acceleration Input Signal Data.

Sensors (Basel, Switzerland)
Forestry is a complex economic sector which is relying on resource and process monitoring data. Most of the forest operations such as planting and harvesting are supported by the use of tools and machines, and their monitoring has been traditionally ...

Baseline Correction of Acceleration Data Based on a Hybrid EMD-DNN Method.

Sensors (Basel, Switzerland)
Measuring displacement response is essential in the field of structural health monitoring and seismic engineering. Numerical integration of the acceleration signal is a common measurement method of displacement data. However, due to the circumstances...

A Novel Handwritten Digit Classification System Based on Convolutional Neural Network Approach.

Sensors (Basel, Switzerland)
An enormous number of CNN classification algorithms have been proposed in the literature. Nevertheless, in these algorithms, appropriate filter size selection, data preparation, limitations in datasets, and noise have not been taken into consideratio...

Automated Calibration of RSS Fingerprinting Based Systems Using a Mobile Robot and Machine Learning.

Sensors (Basel, Switzerland)
This paper describes an automated method for the calibration of RSS-fingerprinting-based positioning systems. The method assumes using a robotic platform to gather fingerprints in the system environment and using them for training machine learning mo...

Hyperglycemia Identification Using ECG in Deep Learning Era.

Sensors (Basel, Switzerland)
A growing number of smart wearable biosensors are operating in the medical IoT environment and those that capture physiological signals have received special attention. Electrocardiogram (ECG) is one of the physiological signals used in the cardiovas...