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Department of Electrical Engineering, Faculty of Engineering Science, Osaka University | 論文
- Modeling of Consumers' Preferences for Regular Coffee Samples and Its Application to Product Design
- Determination of the Blending Ratio of Regular Coffee Samples by Information Technology
- Multiple fuzzy neural network system for outcome prediction and classification of 220 lymphoma patients on the basis of molecular profiling
- Selection of Causal Gene Sets for Lymphoma Prognostication from Expression Profiling and Construction of Prognostic Fuzzy Neural Network Models(MEDICAL BIOTECHNOLOGY)
- Fuzzy Neural Network Applied to Gene Expression Profiling for Predicting the Prognosis of Diffuse Large B-cell Lymphoma
- Affinity Partitioning of Protein A Using a Magnetic Aqueous Two-Phase System
- The Characteristics of Ion-Beam-Induced Spontaneous Etching of GaAs by Low-Energy Focused Ion Beam Irradiation
- Low Energy Focused Ion Beam System and Application to Low Damage Microprocess : Etching and Deposition Technology
- Low Energy Focused Ion Beam System and Application to Low Damage Microprocess
- Transport Properties and Fabrication of Coupled Electron Waveguides
- Magnetotransport in Hexagonal and Rectangular Antidot Lattices
- Investigation of In Situ Process for GaAs/AlGaAs Buried Quantum Wires
- Fabrication and Magnetotransport of One-Dimensional Lateral Surface Superlattice Fabricated by Low-Energy Ion Irradiation
- Magnetotransport in One-Dimensional Lateral Surface Superlattice Fabricated by Low-Energy Argon Ion Irradiation
- Single Particle Relaxation Times from Shubnikov-de Haas Oscillations in Antidot Structures
- Inference of Common Genetic Network Using Fuzzy Adaptive Resonance Theory Associated Matrix Method(BIOINFORMATICS)
- Artificial Neural Network Predictive Model for Allergic Disease Using Single Nucleotide Polymorphisms Data
- Determination of Operating Conditions in Activated Sludge Process Using Fuzzy Neural Network and Genetic Algorithm
- Construction of COD Simulation Model for Activated Sludge Process by Recursive Fuzzy Neural Network
- Construction of COD Simulation Model for-Acivated Sludge Process by Fuzzy Neural Network