Naeem Ahmed Mahoto¹, Rabia Iftikhar¹, Asadullah Shaikh^2,*, Yousef Asiri², Abdullah Alghamdi², Khairan Rajab^2,3

Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 147-159, 2021, DOI:10.32604/iasc.2021.018944

Abstract The price of a product plays a vital role in its market share. Customers usually buy a product when it fits their needs and budget. Therefore, it is an essential area in the business to make decisions about prices for each product. The major portion of the business profit is directly connected with the percentage of the sale, which relies on certain factors of customers including customers’ behavior and market competitors. It has been observed in the past that machine learning algorithms have made the decision-making process more effective and profitable in businesses. The fusion of machine learning with business… More >

Ahmed Bashar Fakhri¹, Saleem Latteef Mohammed¹, Imran Khan², Ali Safaa Sadiq^3,4, Basem Alkazemi⁵, Prashant Pillai⁴, Bong Jun Choi^6,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1175-1194, 2021, DOI:10.32604/cmc.2020.012587

Abstract The development of science and technology has led to the era of Industry 4.0. The core concept is the combination of “material and informationization”. In the supply chain and manufacturing process, the “material” of the physical entity world is realized by data, identity, intelligence, and information. Industry 4.0 is a disruptive transformation and upgrade of intelligent industrialization based on the Internet-of-Things and Big Data in traditional industrialization. The goal is “maximizing production efficiency, minimizing production costs, and maximizing the individual needs of human beings for products and services.” Achieving this goal will surely bring about a major leap in the… More >