Stochastic Modelling & Computational Sciences
Vol. 4 No. 1 (June, 2024)
1. RISK PREMIUM AND MERTON FRACTION FOR REGRESSIVE ASSET
Author: AUGUSTE MUHAU AND JULIUS N. ESUNGE DOWNLOAD
DOI NO: 10.61485/SMCS.27523829/v4n1P1
How to Cite:
Muhau, A. et. al., 2023. RISK PREMIUM AND MERTON FRACTION FOR REGRESSIVE ASSET. Stochastic Modelling & Computational Sciences, 4(1).
2. FROM ROTE LEARNING TO ACTIVE ENGAGEMENT: A CASE STUDY OF USING CROSSWORD PUZZLES TO IMPROVE LEARNING OUTCOMES IN COMMERCE EDUCATION
Author: Mahesh Deshmukh and CS Dr. Lalita Mutreja
Page No. 13 - 18
3. EDGE CONGRUENCE SQUARE SUM LABELING
Author: Geetha T and Kalamani D
Page No. 19 – 26
4. SEISMIC ANALYSIS OF OFFSHORE WIND TURBINES MONOPILES WITH DIFFERENT CONFIGURATIONS
Author: Tarek N. Salem and Mohamed M. Hussein
Page No. 27 - 42
5. GENERATIVE AI AND TRANSFORMATIVE VALUE TO BUSINESS MODELS: MEDIATING ROLE OF HUMAN INVOLVEMENT
Author: Bharti Motwani, Sukhjeet Matharu, Sharda Haryani and Dilip D.
Page No. 43 - 51
6. CHALLENGES AND OPPORTUNITIES OF ONLINE LEARNING PLATFORMS IN INDIAN HIGHER EDUCATION
Author: Apoorva Tyagi, Manvi Chopra, Dr. Himani Binjola and Dr. Vidushi Negi
Page No. 52 - 61
7. FUZZY SCALE RELIABILITY ASSESSMENT FOR ANALYSIS OF MATHEMATICS LEARNING STYLES
Author: Naresh Kumar and Amrita Agrawal
Page No. 62 – 68
8. MATHEMATICAL MODELING AND AVAILABILITY ANALYSIS OF A BISCUIT PLANT
Author: Purnima, Dr. Arun Kumar and Dr. Naveen Kumar
Page No. 69 – 72
9. UTILIZING PARTICLE SWARM OPTIMIZATION FOR HYPERPARAMETER TUNING OF MACHINE LEARNING MODELS ON BIG COVID-19 DATA ANALYTICS
11. AN ASSOCIATION ANALYSIS OF SHOPPING ITEMS IN MACHINE LEARNING
Author: Namkil Kang
Page No. 97 – 109
12. EXPLORING INNOVATIVE DESIGN METHODS THROUGH MACHINE LEARNING TECHNIQUES AND COMPARATIVE ANALYSIS WITH EXISTING MODELS