CAINE 2021: Author IndexAuthor | Papers |
---|
A | Aamir, Janita | Radio-Frequency Identification Vibration Detection | Aldosari, Huda | 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 | Ammar, Reda | 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 | B | Belfore, Lee | Logical Modeling of Adiabatic Logic Circuits using VHDL | Beltaifa, Raoudha | A SysML-based Holistic Variability Modelling of Software and Systems Product Lines | Bidinger, Thomas | Mining for Causal Regularities | Bodily, Paul | Radio-Frequency Identification Vibration Detection Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Bossard, Antoine | A Chinese character hash function based on strokes for fingerprinting | Buzard, Hannah | Mining for Causal Regularities | C | Cheok, Ka C | Analysis of Linear Time-Varying (LTV) Systems | Christiansen, Andrew | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Chrysler, Andrew | Radio-Frequency Identification Vibration Detection | Ciobanu, Sebastian | Vanilla Probabilistic Autoencoder Mixtures of Normalizing Flows | Clark, Samuel | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections | Conlin, Avery | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | D | Durtschi, Barrett | Radio-Frequency Identification Vibration Detection | E | Elfouly, Raafat | Optimized Gaussian Process Regression for Prediction of Oil and Gas Pipelines Defect Length | F | Ferchichi, Olfa | A SysML-based Holistic Variability Modelling of Software and Systems Product Lines | G | Gilbert, Scott | A Clarion call for Credit Based Wireless EV Charging | Griffith, Isaac | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Gupta, Bidyut | Efficient Vehicular Communication using Peer to Peer Pyramid Trees | H | Hearne, James | Mining for Causal Regularities | Heidari, Omid | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Hexmoor, Henry | A Clarion call for Credit Based Wireless EV Charging Efficient Vehicular Communication using Peer to Peer Pyramid Trees | Ho, Chi-Kai | Exploiting Joint Dependencies for Data-driven Inverse Kinematics with Neural Networks for High-DOF Robot Arms | Hofle, Mary | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Hu, Yanke | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections | K | Kamalinejad, Ehsan | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections | King, Chung-Ta | Exploiting Joint Dependencies for Data-driven Inverse Kinematics with Neural Networks for High-DOF Robot Arms | Konishi, Masato | Distinguishing between humans and computers in a card game with imperfect information | Kumar, Lov | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. | L | Labed Jilani, Lamia | A SysML-based Holistic Variability Modelling of Software and Systems Product Lines | Lama, Safal | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Loh, Robert | Analysis of Linear Time-Varying (LTV) Systems | M | Magpantay, Christian | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections | Mazo, Raúl | A SysML-based Holistic Variability Modelling of Software and Systems Product Lines | Meinke, Amber | Mining for Causal Regularities | Moore, Delaney | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Murthy Neti, Lalita Bhanu | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. | N | Nishino, Tetsuro | Distinguishing between humans and computers in a card game with imperfect information | O | Okubo, Seiya | Distinguishing between humans and computers in a card game with imperfect information | P | Pilla, Sirish | A Clarion call for Credit Based Wireless EV Charging | R | Rajasekaran, Sanguthevar | Generative Adversarial Neural Network and Genetic Algorithm To Predict Oil and Gas Pipeline Defect Length | Rath, Santanu Kumar | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. | S | Sahota, Suritaneil | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections | Schoen, Marco | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Sebastian, Anish | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Shih, Naai-Jung | An AR-assisted Comparison for the Case Study of the Reconstructed Components in two Old Brick Warehouses | T | Tanner, Steven | Mining for Causal Regularities | Tanuja, Shameerpet | Efficient Vehicular Communication using Peer to Peer Pyramid Trees | Tsai, Meng-Ting | Exploiting Joint Dependencies for Data-driven Inverse Kinematics with Neural Networks for High-DOF Robot Arms | Tummalapalli, Sahithi | Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics. | W | Wakatsuki, Mitsuo | Distinguishing between humans and computers in a card game with imperfect information | Wilson, Kellie | Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors | Wu, Yu-Chen | An AR-assisted Comparison for the Case Study of the Reconstructed Components in two Old Brick Warehouses | Z | Zhong, Jiaofei | A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections |
|
|