AIMC Topic: Algorithms

Clear Filters Showing 15061 to 15070 of 28713 articles

Identifying homogeneous subgroups of patients and important features: a topological machine learning approach.

BMC bioinformatics
BACKGROUND: This paper exploits recent developments in topological data analysis to present a pipeline for clustering based on Mapper, an algorithm that reduces complex data into a one-dimensional graph.

Blockchain-Secured Recommender System for Special Need Patients Using Deep Learning.

Frontiers in public health
Recommender systems offer several advantages to hospital data management units and patients with special needs. These systems are more dependent on the extreme subtle hospital-patient data. Thus, disregarding the confidentiality of patients with spec...

EEG-Based Personality Prediction Using Fast Fourier Transform and DeepLSTM Model.

Computational intelligence and neuroscience
In this paper, a deep long short term memory (DeepLSTM) network to classify personality traits using the electroencephalogram (EEG) signals is implemented. For this research, the Myers-Briggs Type Indicator (MBTI) model for predicting personality is ...

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...

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...

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...

sTetro-Deep Learning Powered Staircase Cleaning and Maintenance Reconfigurable Robot.

Sensors (Basel, Switzerland)
Staircase cleaning is a crucial and time-consuming task for maintenance of multistory apartments and commercial buildings. There are many commercially available autonomous cleaning robots in the market for building maintenance, but few of them are de...

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...