Smart cities represent the convergence of information and communication technologies
(ICT) with urban management to improve the quality of life of city dwellers. In this context …

This paper presents a bibliometric analysis within the research domain dedicated to the
utilization of agent-based modeling (ABM) in the field of transportation. By employing …

This paper presents a comprehensive literature review of the research and application of
machine learning (ML) algorithms in recommender systems (RS). The study aims to identify …

The workshop operation management (WOM) system contains a large amount of multi-
source heterogeneous data, but these data often lack effective correlation, posing …

This review investigates the evolution of green information systems (ISs) based on an
examination of the literature spanning the years 2000 to 2023. Using bibliographic analysis …

The accelerated growth of online education in recent decades has made it a trendy
educational option. Despite this, significant challenges persist regarding student retention …

Recommender Systems (RSs), which generate personalized content, have become a
technological tool with diverse applications for users. While numerous RSs have been …

This study introduces a data-driven and machine-learning approach to design a
personalized tourist recommendation system for Nepal. It examines key tourist attributes …

The study aims to introduce a novel machine learning approach for the prediction of product
lengths by addressing diverse data types including numeric, textual and categorical data …

Technological advances in different industries have a tremendous impact on various
aspects of human activities, including criminal activities. More complex and well-organized …