24 results on '"Jayaraman, V."'
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2. Novel Inorganic Compound Based Sensors for Their Application in Nuclear Energy Programs
3. Novel Inorganic Compound Based Sensors for Their Application in Nuclear Energy Programs
4. Variable Selection and Fault Detection Using a Hybrid Intelligent Water Drop Algorithm
5. Hybrid Firefly Based Simultaneous Gene Selection and Cancer Classification Using Support Vector Machines and Random Forests
6. Application of Support Vector Machines in Fungal Genome and Proteome Annotation
7. Hybrid Biogeography Based Simultaneous Feature Selection and Prediction of N-Myristoylation Substrate Proteins Using Support Vector Machines and Random Forest Classifiers
8. Management of Burns: Step-by-Step Approach to the Burn Wound
9. ANT COLONY OPTIMIZATION FOR CLASSIFICATION AND FEATURE SELECTION
10. Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Over Expression in Escherichia Coli and Breast Cancer Classification
11. ANT COLONY OPTIMIZATION: DETAILS OF ALGORITHMS SUITABLE FOR PROCESS ENGINEERING
12. India’s EO Pyramid for Holistic Development
13. Olfactory System: Circuit Dynamics and Neural Coding in the Locust
14. EO Products for Drought Risk Reduction
15. Identification of Defensins Employing Recurrence Quantification Analysis and Random Forest Classifiers
16. Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests
17. FEATURE SELECTION FOR CANCER CLASSIFICATION USING ANT COLONY OPTIMIZATION AND SUPPORT VECTOR MACHINES
18. Chapter 15 - Burns
19. An Initial Value Approach to the Counter-Current Backmixing Model of the Fluid Bed
20. Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli
21. Hybrid Firefly Based Simultaneous Gene Selection and Cancer Classification Using Support Vector Machines and Random Forests.
22. Application of Support Vector Machines in Fungal Genome and Proteome Annotation.
23. Hybrid Biogeography Based Simultaneous Feature Selection and Prediction of N-Myristoylation Substrate Proteins Using Support Vector Machines and Random Forest Classifiers.
24. Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli.
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