TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| 1 | |
| 1D-CNN | |
| A | |
| A Wearable Gait | |
| accuracy | |
| Adaptive Antenna Array | |
| AES | |
| aging and delay characteristics | |
| aging degradation | |
| aging mitigation | |
| aging of standard cells | |
| aging phenomenon | |
| analog front-end | |
| analysis | |
| Artificial Bee Colony | |
| Artificial intelligence | |
| artificial intelligence | |
| atomic block | |
| atomic patterns | |
| augmentation | |
| Autoencoder | |
| Autonomous Driving | |
| B | |
| bias | |
| bias temperature instability (BTI) | |
| breast cancer | |
| breast cancer | |
| C | |
| Capsule Networks | |
| CDR | |
| Chest X-ray | |
| circuit simulation | |
| Cluster Federation | |
| clustering | |
| CNN | |
| compensating circuit | |
| composition of constant-weight codes | |
| Compression | |
| Computer Aided Diagnosis | |
| computer logic | |
| computer vision | |
| concurrent error-detection circuit | |
| constant-weight code | |
| Content Addressable Memory | |
| controllability | |
| Controllers | |
| Convolutional Neural Networks | |
| copy | |
| CPU vs GPU performance | |
| critical technologies | |
| crosstalk | |
| crosstalk effects | |
| crosstalk mitigation | |
| Crosstalk suppression | |
| CTLE | |
| Cueing Wearable Device | |
| CycleGAN | |
| D | |
| DANE | |
| Decarbonization technology | |
| decryption time | |
| deductive matrix | |
| Deep Learning | |
| deep learning | |
| DenseNet121 | |
| Device for Gait Rehabilitation in Parkinson’s Disease Patients | |
| Device for Parkinson’s Disease | |
| device model selection | |
| device simulation | |
| Diabetic Retinopathy Detection | |
| die-to-die interconnect | |
| Diffusion Models | |
| digital pathology | |
| Digital Standard Cells | |
| Digital twin | |
| direction finding | |
| distance matrix | |
| Distributed Network Systems | |
| DNSSEC | |
| DRAM | |
| duty cycle adjustor | |
| duty cycle correction | |
| dynamic crosstalk | |
| E | |
| ECC | |
| edge computing | |
| Electrolyzer | |
| Elliptic Curve (EC) | |
| embedded AI | |
| Emotion Recognition | |
| Encryption and decryption schemes | |
| encryption speed | |
| endurance modeling | |
| Energy management systems | |
| equalization techniques | |
| ESP-module | |
| Explainable AI (XAI) | |
| F | |
| fast loop | |
| Fault Coverage | |
| Feature Fusion | |
| federated learning | |
| FID | |
| file encryption | |
| Flash Memory | |
| floorplaning | |
| Fog Computing | |
| forced air cooling | |
| forms of logic | |
| FPGA | |
| FPGA acceleration | |
| function | |
| functions and structures | |
| Fundus Imaging | |
| G | |
| gain control strategies | |
| gallium nitride | |
| gate-oxide breakdown (GOX) | |
| Genetic Algorithm | |
| Global Navigation Satellite Systems | |
| Grad-CAM | |
| GradCAM | |
| graph | |
| Green hydrogen production | |
| H | |
| hardware benchmarking | |
| hardware redundancy | |
| Hardware Trojan | |
| high electron mobility transistors | |
| High-Performance Networking | |
| high-speed serial communication | |
| high-speed systems | |
| Histological image classification | |
| hot-carrier injection (HCI) | |
| hybrid encryption | |
| Hybrid Metaheuristic | |
| Hybrid Model | |
| I | |
| image generation | |
| impedance parameters | |
| In-field testing | |
| inductor | |
| INL | |
| Instruction level testing | |
| Intelligent Multimodal Cueing Wearable Device | |
| interconnect bus | |
| interference mitigation | |
| IoT | |
| IoT Security | |
| J | |
| jitter | |
| K | |
| Key Management | |
| KID | |
| kP | |
| Kyber | |
| L | |
| Lifecycle Management | |
| Load Balancing | |
| local transistor heating (LTE) | |
| logic gates | |
| logic rendering | |
| logical circuits | |
| logical faults | |
| logical vector | |
| logical vectors | |
| low power design | |
| LSB | |
| M | |
| machine learning | |
| Machine Learning for Biomedical Anthropometric Wearable Device | |
| magnetic tunnel junction | |
| mammogram | |
| mammography | |
| matrix | |
| Measurement Personalized wearable sole Non-image-based prediction | |
| Medical Image Analysis | |
| Memory | |
| microwave integrated circuits | |
| ML | |
| mobile system | |
| model | |
| modelling and synthesis | |
| modelling for simulation | |
| Monitoring | |
| monte carlo | |
| morphometric features | |
| Multi-Sensor Monitoring and Adaptive Assistance | |
| Multimodal Deep Learning | |
| Multiple Threshold Voltage Design | |
| N | |
| Natural Language Processing | |
| net prioritization | |
| NLFSR | |
| noise | |
| number of stages | |
| O | |
| Object Detection | |
| online testing | |
| optimal Vths | |
| Orthopedic Sole CatBoost Contactless mea | |
| overvoltage elimination | |
| P | |
| Packet Classification | |
| performance comparison | |
| period | |
| personalisation | |
| phase estimation | |
| phase unwrapping | |
| physical design | |
| PI | |
| PIML | |
| pin placement | |
| Pneumonia Diagnosis | |
| post-quantum cryptography | |
| power electronics | |
| Power Measurement | |
| power optimization | |
| power-performance analysis | |
| preprocessing | |
| privacy | |
| Processor availability | |
| prompt engineering | |
| PVT compensation | |
| Q | |
| quantization | |
| R | |
| real-time systems | |
| receiver | |
| rehabilitation | |
| relations between a model and an algorithm | |
| reliability | |
| rendering | |
| Renewable energy integration | |
| ResNet18 | |
| ResNet50 | |
| Retinal Lesions | |
| ring oscillator | |
| routing | |
| RTL | |
| runtime | |
| S | |
| Sarcasm Detection | |
| self-checking digital devices | |
| self-dual functions for checking computations | |
| self-heating | |
| self-tested and self-diagnosing logic circuits | |
| semiconductor reliability | |
| sensors | |
| SERDES | |
| Severity Classification | |
| Side-Channel Analysis (SCA) attacks | |
| signal integrity | |
| Simple SCA | |
| Simulation | |
| simulation and verification of digital projects | |
| slow amp | |
| Software-Defined Networking | |
| source-series-termination | |
| Spin-transfer torque | |
| Spiral/Wave Images | |
| SSN | |
| stream cipher | |
| structurally logical constants | |
| structure | |
| structures and functions | |
| STT-MRAM | |
| supply voltage scaling effects on aging | |
| switching reliability | |
| system | |
| System optimization | |
| T | |
| temperature gradient | |
| Test Generation | |
| test map | |
| test response obfuscation | |
| test vector encryption | |
| threshold voltage | |
| tion CNC G-code Generation | |
| transmission gate | |
| transmitter | |
| truth table | |
| U | |
| upsizing output driver | |
| USING ML MODEL | |
| V | |
| variable gain amplifier | |
| variable imaging conditions | |
| vector logic | |
| Verilog | |
| Video | |
| Visual Cues | |
| Visual localization | |
| VLSI Testing | |
| Voice Features | |
| voltage | |
| voltage regulator | |
| W | |
| Wearable Device | |
| X | |
| XGBoost | |
| XGBoost classifier | |
| Y | |
| YOLO | |