As more and more novel algorithms being proposed, it is difficult for engineers to choose
suitable algorithms to solve engineering problems in manufacturing systems. According to …

The purpose of the study is to analyze and forecast the effect of e-commerce promotional
activities and sales volume, and improve the scientific and intelligent degree of enterprise …

Over 85% of Cameroonians use building informal sector mechanisms which involve a
disorganized and varied workforce, types and qualities of materials from various origins with …

The selection of algorithms is a crucial step in designing AI services for real-world time
series classification use cases. Traditional methods such as neural architecture search …

The use of emerging technologies such as Industry 4.0 in the digital transformation of
businesses is growing exponentially in various domains including agriculture …

Distributed denial of service (DDoS) attack detection methods based on the clustering
method are ineffective in detecting attacks correctly. Service interruptions caused by DDoS …

This article investigates the impact of data-complexity and team-specific characteristics on
machine learning competition scores. Data from five real-world binary classification …

The ability to generate data has never been as powerful as today when three quintile bytes
of data are generated daily. In the field of machine learning, a large number of algorithms …

Data miningové techniky jsou v komerční sféře využívány za účelem získávání
konkurenčních výhod. V oblasti marketingu v současnosti především v souvislosti s …

In order to solve the complex and difficult identification problems of overhead transmission
line fault diagnosis, and to improve the accuracy of classification effectively, a new method of …