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Corporate Accounting (NEP 2020)
1. Final Accounts of Companies, 2. Managerial Remuneration, 3. Disposal of Profits (as per New AS-4), 4. Profit or Loss Prior to and After Incorporation, 5. Valuation of Goodwill, 6. Valuation of Shares, 7. Accounts of Public Utility Companies (Electricity Company), 8. Consolidated Balance Sheet of Holding Companies/ Parent Companies (with AS-21), 9. Liquidation of Company, 10. Accounting for Amalgamation of Companies As per A.S.-14 (ICAI), 11. Internal Reconstruction, 12. Accounts of Banking Companies, 13. Annual Accounts of Life Insurance Companies, 14. Accounts of General Insurance Companies, 15. Insurance Claims, 16. Issue of Rights, Bonus Shares and Buy Back of Shares.
Business Statistics
1Statistics : Meaning, Nature and Limitations, 2 .Statistics : Scope and Importance, 3 .Types and Collection of Data , 4 .Summation Operation and Rules of Sigma Operations , 5. Classification and Tabulation of Data , 6 .Construction of Frequency Distribution, 7 .Measures of Central Tendency, 8. Measures of Dispersion, 9. Partition Values, 10. Measures of Skewness , 11. Regression Analysis , 12 .Correlation, 13 .Index Number , 14. Analysis of Time-Series, 15. Business Forecasting , 16 Probability Theory, 17. Appendix (Log-Antilog Table).
Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.
Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision t...
Starch-Based Polymeric Materials and Nanocomposites
In recent years, much attention has been focused on biodegradable polymers from renewable resources. Due to its availability and low cost, starch is a promising candidate among biopolymers for use in biodegradable packaging materials and for other purposes. Starch-Based Polymeric Materials and Nanocomposites: Chemistry, Processing, and Applications presents the latest developments in starch chemistry, rheology, starch derivatives, starch-based nanocomposites, and their applications. Topics discussed include: The chemistry, microstructure, processing, and enzymatic degradation of starch The importance and role of starch as a gelling agent Plasticization and the role of plasticizers Various rh...
