AIMC Topic: Algorithms

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A Mature-Tomato Detection Algorithm Using Machine Learning and Color Analysis.

Sensors (Basel, Switzerland)
An algorithm was proposed for automatic tomato detection in regular color images to reduce the influence of illumination and occlusion. In this method, the Histograms of Oriented Gradients (HOG) descriptor was used to train a Support Vector Machine (...

Event-Triggered Synchronization Strategy for Multiple Neural Networks With Time Delay.

IEEE transactions on cybernetics
This paper deals with global exponential synchronization of multiple neural networks (NNs) with time delay via a very broad class of event-triggered coupling, in which coupling matrix can be non-Laplacian. Some simple and convenient sufficient condit...

Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach.

IEEE transactions on bio-medical engineering
OBJECTIVE: This paper targets a major challenge in developing practical electroencephalogram (EEG)-based brain-computer interfaces (BCIs): how to cope with individual differences so that better learning performance can be obtained for a new subject, ...

A novel deep learning based automatic auscultatory method to measure blood pressure.

International journal of medical informatics
BACKGROUND: It is clinically important to develop innovative techniques that can accurately measure blood pressures (BP) automatically.

MLSeq: Machine learning interface for RNA-sequencing data.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since it produces less noisy data....

Predicting coronary artery disease: a comparison between two data mining algorithms.

BMC public health
BACKGROUND: Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data minin...

To Generate an Ensemble Model for Women Thyroid Prediction Using Data Mining Techniques.

Asian Pacific journal of cancer prevention : APJCP
Objective: The main objective of this paper is to easily identify thyroid symptom for treatment. Methods: In this paper two main techniques are proposed for mining the hidden pattern in the dataset. Ensemble-I and Ensemble- II both are machine learni...

Knowledge development, technology and questions of nursing ethics.

Nursing ethics
This article explores emerging ethical questions that result from knowledge development in a complex, technological age. Nursing practice is at a critical ideological and ethical precipice where decision-making is enhanced and burdened by new ways of...