This paper investigates deteriorations in knee and ankle dynamics during running. Changes
in lower limb accelerations are analyzed by a wearable musculoskeletal monitoring system …

Now-a-days, data mining become indispensable for business organizations for decision
making, which makes use of the information from huge amount of archived data. Due to the …

Feature selection plays an important role in data mining and machine learning. It helps to
reduce the dimensionality of data and increase the performance of classification algorithms …

Diseased sample classification is a very important application of microarray gene
expression data. For sample classification the main problem is high dimensionality of genes …

The detection of electric arcs occurring in an electrical network by machine learning
approaches represents the heart of the work presented in this thesis. The problem was first …

This paper presents a systematic review of android app respiratory system on smartphone.
For some diseases, doctors have succeeded in inventing the necessary treatments that lasts …

Объект исследования: процесс ранней диагностики онкологических заболеваний по
данным иммуносигнатурного анализа человека. Цель работы: повышение точности …

Data mining extracts previously not known knowledge from huge amount of stored
operational data of organizations which can be used for managerial decision making. The …

Data mining is the mining of formerly not known and valid information from the archived data
of organizations. Most of the published microdata are high dimensional due to the …

One way to improve education in South Africa is to ensure that additional support and
resourcing are provided to schools and learners that are most in need of help. To this end …