Pdf Editorial For Special Issue Applications Of Artificial Intelligence And Machine Learning

By switzerlandersing On Sep 14, 2025

Artificial Intelligence And Machine Learning | PDF

Artificial Intelligence And Machine Learning | PDF This special issue (si) aims to present the latest developments and innovative ways to use data analysis and learning methods for practical decisions and analyses in managerial tasks. Abstract since its inception in the mid 1950s [1], artificial intelligence (ai) has become a disruptive and pervasive technology. [ ].

Machine Learning | PDF | Artificial Intelligence | Intelligence (AI) & Semantics

Machine Learning | PDF | Artificial Intelligence | Intelligence (AI) & Semantics This special issue includes eight original and hitherto unpublished works that focus on various aspects of “artificial intelligence and machine learning in geotechnical engineering.”. In this special issue, we venture into the innovative ter rains where artificial intelligence (ai) and machine learn ing (ml) intersect with architecture, structures, and con struction. Guest editorial: special issue: applications of artificial intelligence and machine learning in business, finance and economics. After rounds of reviews by national and international experts, seven papers were selected for this special issue. we briefly summarize these curated papers below.

ISSN Online: 2583-9128 Impact Factor 2024

ISSN Online: 2583-9128 Impact Factor 2024 Guest editorial: special issue: applications of artificial intelligence and machine learning in business, finance and economics. After rounds of reviews by national and international experts, seven papers were selected for this special issue. we briefly summarize these curated papers below. This special issue offers valuable contributions to wireless and mobile communication technologies, mobile edge computing, and blockchain, using modern artificial intelligence and machine learning techniques. The present special issue shows the broadness of the current agenda of game related ai studies. six papers, forming this issue, represent the following domains: machine learning in education and gamification.