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Publications by Trisna Julian
Electronic Nose Coupled With Linear and Nonlinear Supervised Learning Methods for Rapid Discriminating Quality Grades of Superior Java Cocoa Beans
International Journal of Intelligent Engineering and Systems
Engineering
Computer Science
Related publications
Characterization and Selection of Superior Dry Starter Microbes for Cocoa Beans Fermentation.
Rapid Assessment of the Authenticity of Limequat Fruit Using the Electronic Nose and Gas Chromatography Coupled With Mass Spectrometry
Monatshefte fur Chemie
Chemistry
Assessment of Agricultural Practices for Improving Quality of Cocoa Beans: South-West Cameroon
International Journal of Environment, Agriculture and Biotechnology
A Rapid Discrimination of Authentic and Unauthentic Radix Angelicae Sinensis Growth Regions by Electronic Nose Coupled With Multivariate Statistical Analyses
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
Evaluating the Processed Beans of Different Cocoa (Theobroma Cacao L.) Accessions for Quality Parameters
Journal of Phytology
Plant Science
Evolution
Ecology
Systematics
Behavior
Assessment of Supervised Machine Learning Methods for Fluid Flows
Theoretical and Computational Fluid Dynamics
Computational Mechanics
Transfer Processes
Engineering
Fluid Flow
Condensed Matter Physics
Supervised Learning Methods for Diversification of Image Search Results
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
A Framework for the Multi-Level Fusion of Electronic Nose and Electronic Tongue for Tea Quality Assessment
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
Composition of Unfermented, Unroasted, Roasted Cocoa Beans and Cocoa Shells From Peninsular Malaysia
Journal of Food Measurement and Characterization
Industrial
Risk
Food Science
Manufacturing Engineering
Reliability
Safety
Chemical Engineering
Quality