Advancing Synergies in Mathematics, Statistics and Data Science
ICoAIMS 2025, Kuala Lumpur, Malaysia, May 23–24
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Beschreibung
This book presents selected peer-reviewed contributions from the 5th International Conference on Applied and Industrial Mathematics and Statistics (ICoAIMS 2025), focusing on recent advances in modeling, analytics, applied mathematics, and statistics. The topic is timely due to the growing demand for data-driven decision-making and mathematical solutions to complex scientific, industrial, and technological challenges.
The volume covers contemporary theoretical developments, computational techniques, and practical applications across diverse interdisciplinary domains. Its unique strength lies in bringing together current research that bridges mathematical theory with real-world problem solving and industrial relevance.
Designed for researchers, academicians, professionals, and graduate students, the book provides valuable insights into emerging methods, analytical tools, and application-oriented approaches in applied and industrial mathematics and statistics. Readers will gain exposure to current research trends, innovative methodologies, and practical perspectives relevant to modern scientific and technological challenges.
Written at an advanced academic and research level, the book contributes to ongoing developments in modeling, analytics, and data-driven sciences, making it a useful reference for those seeking updated and interdisciplinary research in these rapidly evolving fields.
This book presents selected peer-reviewed contributions from the 5th International Conference on Applied and Industrial Mathematics and Statistics (ICoAIMS 2025), focusing on recent advances in modeling, analytics, applied mathematics, and statistics. The topic is timely due to the growing demand for data-driven decision-making and mathematical solutions to complex scientific, industrial, and technological challenges.
The volume covers contemporary theoretical developments, computational techniques, and practical applications across diverse interdisciplinary domains. Its unique strength lies in bringing together current research that bridges mathematical theory with real-world problem solving and industrial relevance.
Designed for researchers, academicians, professionals, and graduate students, the book provides valuable insights into emerging methods, analytical tools, and application-oriented approaches in applied and industrial mathematics and statistics. Readers will gain exposure to current research trends, innovative methodologies, and practical perspectives relevant to modern scientific and technological challenges.
Written at an advanced academic and research level, the book contributes to ongoing developments in modeling, analytics, and data-driven sciences, making it a useful reference for those seeking updated and interdisciplinary research in these rapidly evolving fields.
Discusses the latest advancements in analytics, machine learning, simulation, and predictive modeling Studies decision supports in resource planning, risk monitoring, maintenance scheduling, cost control, and early warning Highlights energy demand, transport flow, healthcare analytics, financial risk, and quality control applications
Autor*in
Nur Haizum Abd Rahman
Themen in »Advancing Synergies in Mathematics, Statistics and Data Science«
mathematical modelling statistical modelling machine learning data analytics optimization ICoAIMS 2025 mathematical logic number theory ordinary differential equations partial differential equations probability theory stochastic process fluid mechanics operations research mathematics education