TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| 2 | |
| 2D-FFT | |
| 5 | |
| 5G | |
| A | |
| A Plug and Play Operational Approach | |
| AC-DC Converter | |
| Active Neutral-Point Clamped (ANPC) | |
| active optical marker | |
| Active power filter | |
| Active-Front-End Rectifier | |
| ADC | |
| Agent-Based Model | |
| Alternating current power flow | |
| Amperometry | |
| amplitude | |
| Analog front-end | |
| anode | |
| Anomaly Detection | |
| ANPC inverter | |
| antiarboviral peptide prediction | |
| AoA | |
| AoA Estimation | |
| artificial intelligence | |
| Artificial Neural Network | |
| artificial neural network controller | |
| Artificial Neural Networks | |
| Artificial Potential Fields | |
| Assisted Detection of Periodontal Disease | |
| Atherogenic index | |
| ATP-EMTP | |
| Automatic Control | |
| Autonomous Mobile Robots | |
| autonomous vehicle | |
| Autonomous vehicles | |
| Autonomous-Micro-Grid System | |
| B | |
| Back-to-back Converter (B2B) | |
| Backstepping | |
| Based | |
| Batería de ion-litio (BIL) | |
| batteries | |
| Battery charger | |
| battery energy management system | |
| battery energy storage | |
| BeagleBoneAI-64 | |
| Beamforming | |
| beamforming technique | |
| Bear Smell Search Algorithm (BSSA) | |
| Bearing faults | |
| BESS | |
| Bidirectional Converter | |
| bidirectional DC-DC converter | |
| Biofilms | |
| Bioinstrumentation hardware | |
| Biomarcadores térmicos | |
| Biomedical Engineering | |
| Biomedical Simulation | |
| Blade analysis | |
| blower | |
| Boost Converter | |
| Boost converters | |
| Boost Rectifier | |
| Bottleneck distance | |
| boundary conditions | |
| BPE | |
| breast cancer | |
| buck-converter | |
| C | |
| C language | |
| Candida tropicalis | |
| cathode | |
| cell capacity | |
| cells | |
| Cellular Interaction | |
| Chronic kidney disease | |
| Chronoamperometry | |
| Circular economy | |
| Clasificación | |
| Clasificación de patologías oculares | |
| class imbalance | |
| classical cryptography | |
| classification | |
| CLIP | |
| CNN | |
| Coherency | |
| Common mode voltage | |
| compression | |
| Computational classifiers | |
| computational efficiency | |
| Computer Vision | |
| COMTRADE | |
| Condition monitoring | |
| Conduction Losses | |
| Configuraciones en serie | |
| continuous UFLS | |
| Control | |
| Control system | |
| convergence | |
| converter model | |
| Convex Takagi-Sugeno Modeling | |
| Convolutional neural network | |
| corona discharge | |
| Crack detection | |
| Cribado no invasivo | |
| cross-validation | |
| Current consumption | |
| current control | |
| currents | |
| currrent signal | |
| Cáncer de Mama | |
| D | |
| dashboard | |
| data acquisition | |
| data collection | |
| Data Preprocessing | |
| data security | |
| Data-driven | |
| Datastreamer | |
| DC Motor | |
| DC-AC power converters | |
| DC-DC | |
| DC-DC Converter | |
| DC-DC converters | |
| DCGAN | |
| decision making | |
| Deep learning | |
| Deformation | |
| Developing Digital Health Devices | |
| DFIG | |
| Digital Biomarkers | |
| Digital watermarking | |
| Distillation process | |
| distributed generation | |
| Distribution Systems | |
| Dot product | |
| Doubly Fed Induction Generator (DFIG) | |
| Droop Control | |
| DSP Control | |
| dual active bridge | |
| DWT | |
| dynamic programming | |
| E | |
| ECG | |
| Economic dispatch | |
| educational robotics | |
| EfficientNet | |
| Eficiencia Computacional | |
| Elbow method | |
| Electric Distribution Systems | |
| Electric mobility | |
| Electric vehicle | |
| Electric Vehicles | |
| electrical disturbances | |
| Electrical impedance tomography | |
| electromagnetic spectrum | |
| electromagnetic transients | |
| EMA Filters | |
| Embedded System | |
| embedded systems | |
| EMG denoising | |
| EMG signals | |
| Empowering Patients and Transforming Care | |
| Energies | |
| energy management | |
| Energy planning | |
| energy storage | |
| Energy Storage System | |
| Energy sustainability | |
| Energy-shaping control | |
| Environmental impact | |
| Equal Area Criterion | |
| Estabilidad de frecuencia | |
| Euler Method | |
| Euler-Lagrange systems | |
| evaporation rate | |
| Exoskeleton | |
| Experimental Deployment | |
| explainability | |
| Extended Depth of Field | |
| F | |
| Fault detection | |
| Fault diagnosis | |
| Feasibility | |
| Feature extraction | |
| Ferroresonance | |
| FFT | |
| Filtering | |
| fine-tuning | |
| Force | |
| Forced oscillations | |
| Fourier coefficients | |
| Fourier series | |
| FPGA | |
| Frequency regulation | |
| frequency stability | |
| Frequency support | |
| From data to public policy | |
| Fuzzy Control | |
| fuzzy logic control | |
| Fuzzy Perturbation | |
| G | |
| GAN | |
| Gas natural | |
| GD | |
| generic models | |
| Genetic Algorithm | |
| Genetic Algorithms | |
| glaucoma | |
| Grid-Feeding converter | |
| Grid-Feeding converter Microgrid | |
| Grid-Following | |
| Grid-Forming | |
| Grid-Forming (GFM) | |
| Grid-Forming converter | |
| Grid-side converter | |
| H | |
| hand movements | |
| Hardware in the loop | |
| Hardware-In-the-Loop | |
| Harmonic analysis | |
| Harmonic compensation | |
| Harmonic content | |
| Harmonic Domain Modeling | |
| Harmonic removal | |
| Harmonic State Estimation | |
| Heart diseases diagnosis | |
| hierarchical agglomerative clustering | |
| HIL Simulation | |
| Hilbert transform | |
| Hive | |
| Hjorth parameters | |
| Honey Bee | |
| Human gait | |
| hybrid microgrids | |
| Hybrid wind-solar systems | |
| I | |
| I2C | |
| IBR | |
| identification | |
| IIR notch filter | |
| Image Analysis | |
| Image Processing | |
| image reconstruction | |
| Implementation | |
| Induction Generator (IG) | |
| induction machine | |
| induction motor | |
| Inertial control | |
| Infrared thermography | |
| Intelligent control | |
| Intelligent Mobility | |
| interdiscipline and inclusion | |
| Interferometry | |
| Internet of Things | |
| interpolation | |
| Interpretabilidad | |
| Inversores Grid Forming | |
| Inverter-Based Resource (IBR) continuos penetration | |
| Investor | |
| IoMT | |
| IoT | |
| J | |
| Jerk | |
| Jovian emissions | |
| K | |
| Kalman Filter | |
| Kinematic analysis | |
| Kinovea | |
| Koopman Operator | |
| L | |
| LabVIEW | |
| LabVIEW FPGA | |
| lateral dynamics | |
| LCL Filter | |
| LED | |
| LED horticultural lighting | |
| LiDAR | |
| LiDAR point insertion attacks | |
| lightweight encryption | |
| linear sensitivities | |
| Lipid profile | |
| Lithium-ion batteries | |
| LLM-Inspired Time-Series Modelling | |
| LMIs | |
| Loadability | |
| Low-inertia power systems | |
| low-resource | |
| LQR | |
| LSI | |
| Lyapunov-control | |
| M | |
| M2M | |
| Machine Learning | |
| Machine learning | |
| Machine translation | |
| MANOVA | |
| Market Problems | |
| Markov transition field | |
| Materials | |
| maximum torque | |
| mean comparison | |
| Mechanical ventilation | |
| Medical IoT | |
| Medium-frequency transformer | |
| Metaheuristics | |
| Microcontroller | |
| Microgrid | |
| microgrid control | |
| microgrids | |
| microstrip array antennas | |
| microwave medical imaging | |
| Millimeter Wave Communications | |
| millimetric wave band | |
| Mixed integer programming | |
| mobile application | |
| MobileNetV2 | |
| Model Classification | |
| model predictive control | |
| modeling | |
| Modeling AC-DC Converter | |
| Monitoring | |
| Monocular Depth Estimation | |
| Motion dynamics | |
| motion profiles | |
| motor controller | |
| MQS approximation | |
| Multi-Layer Perceptron | |
| Multi-port | |
| Multifocus Image Fusion | |
| Myoelectric prosthesis control | |
| N | |
| Nanocrystalline material | |
| neural network | |
| Neural Networks | |
| NLP | |
| non- uniformity lighting | |
| Nonlinear Control | |
| Nonlinear Loads | |
| Nonlinear optimization | |
| Nonlinear scheduling | |
| O | |
| O-splines | |
| Occupancy Map | |
| Off-grid systems | |
| Off-Lattice Simulation | |
| off-shore wind power | |
| Operating | |
| optical modeling | |
| optimal energy management | |
| Optimal power flow | |
| Optimization | |
| Oscillation Source Location | |
| Oversampling | |
| Oxidation kinetics | |
| P | |
| Parallel Computing | |
| Parameter Estimation | |
| Park Transformation | |
| Parkinson’s Disease: | |
| Partial Power Processing | |
| Participation factor | |
| Passivity Based Control | |
| Path Planning | |
| PBC | |
| PCA | |
| Pedagogical Prototype | |
| performance metrics | |
| permanent magnet synchronous motor | |
| Persistent homology | |
| Photovoltaic (PV) | |
| Photovoltaic Generation | |
| PID control | |
| PINN neural networks | |
| Pitchless control | |
| PMSM | |
| Polynomial regression | |
| Port-Controlled Hamiltonian systems | |
| pose | |
| Potential Solutions | |
| Power analysis | |
| power conversion | |
| power converters | |
| Power distribution networks | |
| Power electronics | |
| Power quality | |
| Power Synchronization Control | |
| power system stability assessment | |
| Power System Stabilizers | |
| Power systems | |
| Power-line interference | |
| Powertrain | |
| PPFD uniformity | |
| Principal Component Analysis | |
| Probability distribution functions | |
| Producción de metanol | |
| Prony method | |
| Proporcional-integral (PI) | |
| protection | |
| PSCAD | |
| PSCAD/EMTDC | |
| PSS®E | |
| PV | |
| PV applications | |
| PV inverters | |
| PV power plant | |
| PV systems | |
| PWM converter | |
| Python | |
| PyTorch | |
| Q | |
| quadratic boost converters | |
| Quadratic Converter | |
| Quasi-Dynamic Simulation | |
| R | |
| Random Forest | |
| randomness | |
| ray-tracing simulation | |
| re-identification | |
| Reactive power compensation | |
| reactive power dispatch | |
| Reactores de síntesis | |
| Real-time analyte estimation | |
| Real-Time Simulation | |
| Real-time systems | |
| reconfiguration | |
| Redes Neuronales | |
| REEC_D | |
| REGC_B | |
| Regresión Logística | |
| Renewable | |
| Renewable energies | |
| renewable energies | |
| Renewable Energy | |
| Renewable energy resources | |
| renewable generator | |
| RES Integration Challenges | |
| research information systems | |
| Resources | |
| robotic manipulator | |
| robust control | |
| RoCoF | |
| rod plane hybrid | |
| S | |
| SCADA systems | |
| Security | |
| semiarid region | |
| Sensitivity Analysis | |
| servo motor control | |
| settings | |
| SHAP | |
| short-circuit | |
| Short-Term Load Forecasting | |
| Signal conditioning filters | |
| signal processing | |
| Signal-to-noise ratio (SNR) | |
| Silicon carbide (SiC) | |
| Single active bridge | |
| sliding mode control | |
| Smart Grids | |
| Sodium batteries | |
| software architecture | |
| software engineering | |
| Solid-State Transformer (SST) | |
| Space Vector Modulation | |
| Spastic diplegia | |
| Spectral analysis | |
| Spectral subtraction | |
| Spectrogram | |
| SPI | |
| SPWM | |
| SRF-PLL | |
| Stability | |
| State observer | |
| State-feedback control | |
| State-Space Approach | |
| Statistical modeling Introduction | |
| stator motor | |
| Steel | |
| step-up converter | |
| Strain | |
| Supercapacitor | |
| Surface electromyography (sEMG) | |
| SVR | |
| Switched capacitor | |
| Switching Regulator | |
| switching ripple | |
| Synthetic data | |
| System Optimization | |
| T | |
| Takagi-Sugeno Convex Observers | |
| Takagi-Sugeno modeling | |
| Tasmanian Devil Optimization Algorithm | |
| Taylor-Fourier transform | |
| TCLab | |
| Temperature | |
| Temperature Control | |
| Temperature estimation | |
| Termografía infrarroja | |
| text classification | |
| Textural Description | |
| Thermal Therapy | |
| Thermography | |
| Thickness estimation | |
| Three Phase Inverter | |
| three-dimensional | |
| three-phase fault | |
| three-phase inverter | |
| three-phase rectifier | |
| Time Series Foundation Models (TSFMs) | |
| Time-Frequency Analysis | |
| Topological data analysis | |
| traceability | |
| tracking | |
| Transcranial Magnetic Stimulation | |
| Transfer learning | |
| transfer learning | |
| Transformer | |
| Transfromers | |
| transient operation | |
| transportation electrification | |
| trapezoidal profile in velocity | |
| Tumor Immunosurveillance | |
| tuning methods | |
| Type 2 diabetes | |
| U | |
| ULA arrays | |
| under frequency load shedding | |
| Unsupervised | |
| Unsupervised Machine Learning | |
| Urban Traffic Monitoring | |
| user profiling | |
| V | |
| variable frequency drive | |
| Vector Control | |
| Vehículo eléctrico (EV) | |
| vertical farming | |
| vibration | |
| Vibration signals | |
| Virtual Synchronous Machine | |
| Virtual Synchronous Machine (VSM) | |
| vision transformers | |
| Vision-Based Navigation | |
| ViT | |
| Voltage Oriented Control | |
| Voltage Profile | |
| Voltage Source Converters (VSC) | |
| W | |
| water management | |
| wavelet | |
| Wavelet thresholding | |
| WDBC | |
| WECC | |
| Weight | |
| Weighting matrices | |
| Wind energy | |
| Wind Power | |
| Wind Speed Model | |
| Wind turbine | |
| WTG | |
| Z | |
| Zapoteco | |