Introduction.- Data-driven Ordinary Differential Equations Model for predicting missing data and forecasting Crude Oil Prices.- Efficient iterative approximation for nonlinear porous medium equation with drainage model.- The Performance of Logistic Regression and Discriminant Analysis in Spam E-mail Classification.- Detecting Structural Breaks and Outliers for Volatility Data via Impulse Indicator Saturation.- Index.

Samsul Ariffin Bin Abdul Karim is an Associate Professor with Software Engineering Programme, Faculty of Computing and Informatics, Universiti Malaysia Sabah (UMS), Malaysia. He obtained his PhD in Mathematics from Universiti Sains Malaysia (USM). He is a Professional Technologists registered with Malaysia Board of Technologists (MBOT), No. Perakuan PT21030227. His research interest includes numerical analysis, machine learning, approximation theory, optimization, science, and engineering education as well as wavelets. He has published more than 140 papers in Journals and Conferences including three Edited Conferences Volume and 60 book chapters. He was the recipient of Effective Education Delivery Award and Publication Award (Journal & Conference Paper), UTP Quality Day 2010, 2011 and 2012, respectively. He was Certified WOLFRAM Technology Associate, Mathematica Student Level. He also has published ten books with Springer Publishing including five books with Studies in Systems, Decision and Control (SSDC) series, one book with Taylor and Francis/CRC Press, one book with IntechOpen and one book with UTP Press. Recently he has received Book Publication Award in UTP Quality Day 2020 for book Water Quality Index (WQI) Prediction Using Multiple Linear Fuzzy Regression: Case Study in Perak River, Malaysia, that was published by SpringerBriefs in Water Science and Technology in 2020.