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Results: 8
Barriers Related to AI Implementation in Supply Chain Management
Monika Shrivastav
Sep 01, 2021
The primary objective of this paper is to offer a structured and comprehensive list of the barriers associated with implementation of Artificial Intelligence (AI) solutions in Supply Chain Management (SCM). While the broader...
Published by: IGI Global
Transcending the Line - Focusing on the Spot
Monika Wegmann
Sep 30, 2014
My research has shown that the east and the southeast of England are not homogeneous dialect areas and that the neat lines on dialect maps - boundaries and isoglosses alike-hide much of the internal variability. I have...
Gradient Boosting Machine and Deep Learning Approach in Big Data Analysis
Designing a system for analytics of high-frequency data (Big data) is a very challenging and crucial task in data science. Big data analytics involves the development of an efficient machine learning algorithm and big data...
Published by: IGI Global
An Ensemble of Random Forest Gradient Boosting Machine and Deep Learning Methods for Stock Price Prediction
Stochastic time series analysis of high-frequency stock market data is a very challenging task for the analysts due to the lack availability of efficient tool and techniques for big data analytics. This has opened the door of...
Published by: IGI Global
Fuzzy Modelling of Clinical and Epidemiological Factors for COVID-19
During this pandemic outbreak of COVID-19, the whole world is getting severely affected in respect of population health and economy. This novel virus has brought the whole world including the most developed countries to a...
Published by: IGI Global