30 results on '"Jayaraman, Valadi K."'
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2. Distributed Reduced Alphabet Representation for Predicting Proinflammatory Peptides
3. Biogeography-Based Optimization for Dynamic Optimization of Chemical Reactors
4. Metaheuristics in Process Engineering: A Historical Perspective
5. Simultaneous Informative Gene Extraction and Cancer Classification Using ACO-AntMiner and ACO-Random Forests
6. Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm
7. A Multi-class Machine Learning Framework to Predict Ampicillin-Sulbactam Resistance of Acinetobacter baumannii
8. Support vector machine-based prediction of pore-forming toxins (PFT) using distributed representation of reduced alphabets
9. Identification of Phase Separating Proteins With Distributed Reduced Alphabet Representations of Sequences
10. Development of support vector regression (SVR)-based correlation for prediction of overall gas hold-up in bubble column reactors for various gas–liquid systems
11. A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in Escherichia coli
12. Identification of coding and non-coding sequences using local Hölder exponent formalism
13. Identification of Glucose-Binding Pockets in Human Serum Albumin Using Support Vector Machine and Molecular Dynamics Simulations
14. Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm
15. A text mining approach to detect mentions of protein glycosylation in biomedical text
16. LIPOPREDICT: Bacterial lipoprotein prediction server
17. Development of Correlations for Overall Gas Hold-up, Volumetric Mass Transfer Coefficient, and Effective Interfacial Area in Bubble Column Reactors Using Hybrid Genetic Algorithm-Support Vector Regression Technique: Viscous Newtonian and Non-Newtonian Liquids
18. Development of Unified Correlations for Volumetric Mass-Transfer Coefficient and Effective Interfacial Area in Bubble Column Reactors for Various Gas−Liquid Systems Using Support Vector Regression
19. Quantitative Structure−Property Relationship (QSPR) Prediction of Liquid Viscosities of Pure Organic Compounds Employing Random Forest Regression
20. Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM
21. Using Recurrence Quantification Analysis Descriptors for Protein Sequence Classification with Support Vector Machines
22. Data-Driven Dynamic Modeling and Control of a Surface Aeration System
23. A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in Escherichia coli
24. Microchannel Reactors: Applications and Use in Process Development
25. A Hybrid Methodology For On-Line Process Monitoring
26. Memory Based Local Learning: Application to Process Engineering Problems
27. Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm.
28. Identification of Penicillin-binding proteins employing support vector machines and random forest.
29. Feature selection and classification employing hybrid ant colony optimization/random forest methodology.
30. Review on lazy learning regressors and their applications in QSAR.
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