A |

analytical solution | Analysis of Linear Time-Varying (LTV) Systems |

Anti-patterns | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. |

Augmented Reality | An AR-assisted Comparison for the Case Study of the Reconstructed Components in two Old Brick Warehouses |

Autoencoder | Vanilla Probabilistic Autoencoder |

B |

brick warehouse | An AR-assisted Comparison for the Case Study of the Reconstructed Components in two Old Brick Warehouses |

C |

causal-regularity | Mining for Causal Regularities |

character | A Chinese character hash function based on strokes for fingerprinting |

Clustering | Mixtures of Normalizing Flows |

CNN | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections |

collaboration | A Clarion call for Credit Based Wireless EV Charging Efficient Vehicular Communication using Peer to Peer Pyramid Trees |

Commutative and triangular matrix | Analysis of Linear Time-Varying (LTV) Systems |

Concrete structures | Radio-Frequency Identification Vibration Detection |

COVID-19 | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections |

D |

Daihinmin | Distinguishing between humans and computers in a card game with imperfect information |

Data Mining | Mining for Causal Regularities |

decision trees | Distinguishing between humans and computers in a card game with imperfect information |

deep learning | Vanilla Probabilistic Autoencoder Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. |

Defect characterization | Optimized Gaussian Process Regression for Prediction of Oil and Gas Pipelines Defect Length Generative Adversarial Neural Network and Genetic Algorithm To Predict Oil and Gas Pipeline Defect Length |

digital circuits | Logical Modeling of Adiabatic Logic Circuits using VHDL |

digital simulation | Logical Modeling of Adiabatic Logic Circuits using VHDL |

E |

Ensemble Techniques | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. |

EV power demand | A Clarion call for Credit Based Wireless EV Charging |

F |

Fingerprint | A Chinese character hash function based on strokes for fingerprinting |

function | A Chinese character hash function based on strokes for fingerprinting |

fundamental matrix | Analysis of Linear Time-Varying (LTV) Systems |

G |

generative adversarial neural network | Generative Adversarial Neural Network and Genetic Algorithm To Predict Oil and Gas Pipeline Defect Length |

Genetic Algorithm | Generative Adversarial Neural Network and Genetic Algorithm To Predict Oil and Gas Pipeline Defect Length |

H |

hash | A Chinese character hash function based on strokes for fingerprinting |

heritage preservation | An AR-assisted Comparison for the Case Study of the Reconstructed Components in two Old Brick Warehouses |

holistic variability model | A SysML-based Holistic Variability Modelling of Software and Systems Product Lines |

I |

image processing | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections |

imperfect information | Distinguishing between humans and computers in a card game with imperfect information |

Internet of Things | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors |

INUS condition | Mining for Causal Regularities |

inverse kinematics | Exploiting Joint Dependencies for Data-driven Inverse Kinematics with Neural Networks for High-DOF Robot Arms |

L |

Linear time-varying (LTV) systems | Analysis of Linear Time-Varying (LTV) Systems |

Logical model | Logical Modeling of Adiabatic Logic Circuits using VHDL |

Low power electronics | Logical Modeling of Adiabatic Logic Circuits using VHDL |

M |

machine learning | Radio-Frequency Identification Vibration Detection Optimized Gaussian Process Regression for Prediction of Oil and Gas Pipelines Defect Length Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors Vanilla Probabilistic Autoencoder Mixtures of Normalizing Flows |

magnetic flux leakage | Optimized Gaussian Process Regression for Prediction of Oil and Gas Pipelines Defect Length Generative Adversarial Neural Network and Genetic Algorithm To Predict Oil and Gas Pipeline Defect Length |

matrix normal distribution | Vanilla Probabilistic Autoencoder |

Mechanical systems | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors |

Mill's methods | Mining for Causal Regularities |

MINUS condition | Mining for Causal Regularities |

mixture models | Mixtures of Normalizing Flows |

Mixtures of normalizing flows | Mixtures of Normalizing Flows |

N |

neural network | Exploiting Joint Dependencies for Data-driven Inverse Kinematics with Neural Networks for High-DOF Robot Arms |

non-destructive testing | Optimized Gaussian Process Regression for Prediction of Oil and Gas Pipelines Defect Length Generative Adversarial Neural Network and Genetic Algorithm To Predict Oil and Gas Pipeline Defect Length |

normal distribution | Vanilla Probabilistic Autoencoder |

Normalizing Flows | Mixtures of Normalizing Flows |

P |

peer-to-peer networks | Efficient Vehicular Communication using Peer to Peer Pyramid Trees |

Photogrammetry | An AR-assisted Comparison for the Case Study of the Reconstructed Components in two Old Brick Warehouses |

power supply | A Clarion call for Credit Based Wireless EV Charging |

Predictive Maintenance | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors |

Probabilistic Distributions | Vanilla Probabilistic Autoencoder |

product lines | A SysML-based Holistic Variability Modelling of Software and Systems Product Lines |

Pyramid tree | Efficient Vehicular Communication using Peer to Peer Pyramid Trees |

R |

Regression | Optimized Gaussian Process Regression for Prediction of Oil and Gas Pipelines Defect Length |

reverse engineering | An AR-assisted Comparison for the Case Study of the Reconstructed Components in two Old Brick Warehouses |

RFID localization | Radio-Frequency Identification Vibration Detection |

robotic arm | Exploiting Joint Dependencies for Data-driven Inverse Kinematics with Neural Networks for High-DOF Robot Arms |

S |

SMOTE | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. |

state transition matrix | Analysis of Linear Time-Varying (LTV) Systems |

symbol | A Chinese character hash function based on strokes for fingerprinting |

SysML Profile | A SysML-based Holistic Variability Modelling of Software and Systems Product Lines |

V |

Vehicular Networks | A Clarion call for Credit Based Wireless EV Charging Efficient Vehicular Communication using Peer to Peer Pyramid Trees |

VHDL | Logical Modeling of Adiabatic Logic Circuits using VHDL |

Vibration detection | Radio-Frequency Identification Vibration Detection |

W |

Web Services | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. |

WSDL | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. |

WSDL Metrics | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. |

X |

X-ray | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections |