24 papers:
CASE-2015-NetoCHS #approximate #optimisation- A piecewise linear-quadratic approximation for production optimization of gas-lifted oil fields (LRN, EC, RH, TLS), pp. 793–798.
- CASE-2015-ReisgenLMBW #modelling #process #quality
- Process control of gas metal arc welding processes by optical weld pool observation with combined quality models (UR, PL, SM, GB, KW), pp. 407–410.
- CASE-2015-ShiZLGF
- Weld pool oscillation frequency in pulsed gas tungsten arc welding with varying weld penetration (YS, GZ, CL, YG, DF), pp. 401–406.
- CASE-2015-SikstromCL #case study #feedback #modelling
- Model based feedback control of gas tungsten arc welding — An experimental study (FS, AKC, BL), pp. 411–416.
HIMI-IKD-2015-TrevisanPMG #big data #health #industrial #problem #security #visualisation- Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry (DGT, NSP, LM, ACBG), pp. 46–54.
KDD-2015-YuanBM #process #re-engineering #using- Gas Concentration Reconstruction for Coal-Fired Boilers Using Gaussian Process (CY, MB, BM), pp. 2247–2256.
- DUXU-ELAS-2014-ShalashAAASA #mobile
- A Mobile Application for Controlling Domestic Gas Cylinders Remotely (WMS, SAB, NAQ, MAM, BS, AA), pp. 347–356.
- HCI-AIMT-2014-YanikTMMBGW #gesture #learning
- A Method for Lifelong Gesture Learning Based on Growing Neural Gas (PMY, AT, JM, JM, JOB, KEG, IDW), pp. 191–202.
- KDD-2014-ShangZTCY
- Inferring gas consumption and pollution emission of vehicles throughout a city (JS, YZ, WT, EC, YY), pp. 1027–1036.
- CASE-2013-GiulianiCP #analysis #optimisation
- A computational analysis of nondifferentiable optimization: Applications to production maximization in gas-lifted oil fields (CMG, EC, AP), pp. 286–291.
SAC-2013-BlancoMLJ #approach #probability- A Kalman filter based approach to probabilistic gas distribution mapping (JLB, JGM, AJL, JGJ), pp. 217–222.
ICEIS-AIDSS-2010-AdamLDB #clustering #parallel #performance #using- Performance Gain for Clustering with Growing Neural Gas using Parallelization Methods (AA, SL, SD, WB), pp. 264–269.
- ICEIS-AIDSS-2009-RodriguesNCM #using
- Estimating Greenhouse Gas Emissions using Computational Intelligence (JAPR, LBN, PHGC, JCCBSdM), pp. 248–250.
- ICEIS-ISAS-2009-LopesGBF #case study #industrial #ontology #reverse engineering
- Reverse Engineering a Domain Ontology to Uncover Fundamental Ontological Distinctions — An Industrial Case Study in the Domain of Oil and Gas Production and Exploration (ML, GG, FAB, RdAF), pp. 262–267.
- SAC-2007-Holland #injection #scheduling
- Injection/withdrawal scheduling for natural gas storage facilities (AH), pp. 332–333.
- SAC-2005-OcaGA #algorithm #classification #clustering #network
- An hybridization of an ant-based clustering algorithm with growing neural gas networks for classification tasks (MAMdO, LG, JLA), pp. 9–13.
- ICEIS-v2-2004-DhoteMR #analysis #detection #development #fault
- Development of an Expert System for Detecting Incipient Fault in Transformer by Dissolved Gas Analysis (NKD, DMH, MRR), pp. 210–215.
ICPR-v4-2004-QinandS #algorithm #analysis #clustering #kernel- Kernel Neural Gas Algorithms with Application to Cluster Analysis (AKQ, PNS), pp. 617–620.
SEKE-2004-Chan #automation #information management #pipes and filters- Automated Support for Knowledge Engineering for A Natural Gas Pipeline Domain (CWC), pp. 86–91.
- ICPR-v2-2000-MottlDLM #pattern matching #pattern recognition #recognition
- Pattern Recognition in Spatial Data: A New Method of Seismic Explorations for Oil and Gas in Crystalline Basement Rocks (VM, SD, VL, IBM), pp. 2315–2318.
- HCI-CCAD-1999-NabeshimaTSNIOKS #hybrid #monitoring
- Hybrid monitoring system for high temperature gas cooling reactor (KN, ET, TS, SN, KI, TO, KK, KS), pp. 1187–1191.
TOOLS-ASIA-1999-XieYL #simulation #uml- Applying UML to Gas Turbine Engine Simulation (ZX, JY, JL), pp. 458–464.
- ICPR-1998-ZhangFY98a #verification
- Handwritten signature verification based on neural “gas” based vector quantization (BZ, MF, HY), pp. 1862–1864.
- SAC-1996-Fritzke #automation #fuzzy #logic #network
- Automatic construction of radial basis function networks with the growing neural gas model and its relevance for fuzzy logic (BF), pp. 624–627.
