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School of Electrical and Electronic Engineering, Nanyang Technological University | 論文
- TED-AJ03-414 NON-ISOTHERMAL ANALYSIS ON PARTICLE MIGRATION OF CONCENTRATED SUSPENSION IN POISEUILLE FLOW
- Analysis of Dielectric-Loaded Waveguide Slot Antennas by the Hybrid Mode-Matching/Moment Method(Antennas and Propagation)
- Boundary Detection in Echocardiographic Images Using Markovian Level Set Method(Image Recognition, Computer Vision)
- A Texture Combined Multlspectral Magnetic Resonance Imaging Segmentation for Nasopharyngeal Carcinoma
- MC-11 SUPPRESSING SENSITIVITY HUMP IN HDD DUAL-STAGE SERVO SYSTEMS
- Memory-Enhanced MMSE Decoding in Vector Quantization(Speech and Hearing)
- A Continuous, Explicit Drain-Current Model for Asymmetric Undoped Double-Gate MOSFETs
- Efficient Electron Field Emission of Diamond Films for Flat Panel Display Application (情報ディスプレイ--The 6th Asian Symposium on Information Display & Exhibition)
- Efficient Electron Field Emission of Diamond Films for Flat Panel Display Application
- Silicon Nanowire Schottky Barrier NMOS Transistors
- Improved Device Performance by Post-Oxide Annealing in Atomic-Layer-Deposited Al_2O_3/AlGaN/GaN Metal-Insulator-Semiconductor High Electron Mobility Transistor on Si
- Phase transition and microstructure evolution during the carbothermal preparation of Ti(C,N) powders in an open system
- A Method for Building More Non-supersingular Elliptic Curves Suitable for Pairing-based Cryptosystems(Information Security)
- RNA Profiling of Cell-free Saliva Using Microarray Technology
- Silicon Compliant Substrate for High-Quality Heteroepitaxial Growth
- A novel memristor-based rSRAM structure for multiple-bit upsets immunity
- Comparison of the 1319 and 1338 nm Dual-Wavelength Emission of Neodymium-Doped Yttrium Aluminum Garnet Ceramic and Crystal Lasers
- 40344 内陸湖水面積の変化が中国武漢の局所気候と環境に与える影響(都市気候シミュレーション(3),環境工学I)
- A Simple Negative Bias Temperature Instability Characterization Methodology to Minimize the Immediate Recovery Effect during Measurement
- Necessary and sufficient condition for absolute stability of normal neural networks