This special issue is a selected collection of papers submitted to the First International
Conference on Signals, Machines and Automation (SIGMA-2018), February 23–25, 2018 …

Rice blast is a serious threat to rice yield. Breeding disease-resistant varieties is one of the
most economical and effective ways to prevent damage from rice blast. The traditional …

Direct marketing involves telephone calls, personalized emails, and messages, newsletters,
which catch the eye of the customer, and in turn, attract them towards the company. In this …

An unscented Kalman filter can be applied for the experimental learning of the solar dryer for
oranges drying and the greenhouse for crop growth to know better the processes and to …

Purpose This paper delves into cross-border E-business, unraveling its intricate dynamics
and forecasting its future trajectory. Design/methodology/approach This paper projects the …

Purpose: This study aimed to enhance e-commerce customer segmentation and loyalty
prediction by integrating machine learning (ML) with traditional statistical methods …

The global COVID-19 pandemic triggered a severe economic downturn, impacting
economies and financial systems worldwide. Lockdowns and travel restrictions disrupted …

The purpose of this article is to present a methodology based on the extraction process of
knowledge discovery in databases (KDD) to predict the expenditure of different customer …

Financial performance is a challenge for business managers in the e-commerce industry
that lack the knowledge to meet their operational objectives consistently. Business …

Supervised machine learning (SML) is a powerful method for predicting a small number of
welldefined output groups (eg, potential buyers of a certain product) by taking as input a …