Advanced Scientific and Engineering Studies
Description: This cluster of papers covers a wide range of interdisciplinary research topics, including machine learning, remote monitoring, artificial intelligence, digital technology, healthcare innovation, environmental impact, urban-rural integration, energy efficiency, robotics and automation, and data analysis. The papers reflect a diverse set of scientific and technological investigations that span multiple fields and domains.
Sibling topics: Multi-Criteria Decision Making, Efficiency Analysis Using DEA, Construction Project Management and Performance, Psychometric Methodologies and Testing, Game Theory and Applications, Auction Theory and Applications, Simulation Techniques and Applications, Stock Market Forecasting Methods, Risk and Portfolio Optimization, Fuzzy and Soft Set Theory, Data Quality and Management, Probability and Risk Models, Optimal Experimental Design Methods, Complex Systems and Decision Making, Forecasting Techniques and Applications, Evaluation and Performance Assessment, Advanced Bandit Algorithms Research, Resource-Constrained Project Scheduling, Grey System Theory Applications, Scheduling and Timetabling Solutions, Innovation Diffusion and Forecasting, Business Strategies and Management Research, Innovations and Analysis in Business and Education, Q Methodology Applications, Economic, Social, and Public Health Issues in Russia and Globally, Operations Management Techniques, activated carbon and charcoal, Knowledge Management and Technology, Impact of AI and Big Data on Business and Society, Diverse scientific research topics, Diverse Interdisciplinary Research Innovations, Leadership, Behavior, and Decision-Making Studies, demographic modeling and climate adaptation
Parent subfield: Management Science and Operations Research
Field: Decision Sciences
Domain: Social Sciences
OpenAlex ID: T13612
Works count: 0
Citation count:
