10 papers:
- CASE-2015-ZafarKSMJA #health #monitoring #process #using
- Tool health monitoring for wood milling process using airborne acoustic emission (TZ, KK, ZS, SM, AJ, UA), pp. 1521–1526.
- CASE-2014-MingMT #optimisation
- Reducing carbon emission of ocean shipments by optimizing container size selection (ECLM, NLM, KWT), pp. 480–485.
- KDD-2014-ShangZTCY
- Inferring gas consumption and pollution emission of vehicles throughout a city (JS, YZ, WT, EC, YY), pp. 1027–1036.
- CASE-2012-YiLTW #framework #scheduling
- A new operational framework to job shop scheduling for reducing carbon emissions (QY, CL, YT, QW), pp. 58–63.
- SEFM-2011-TongQ #energy
- Energy Consumption and CO2 Emissions of Beijing Heating System: Based on a System Dynamics Model (HT, WQ), pp. 476–485.
- KDD-2010-KarguptaGF #data mining #generative #mining
- The next generation of transportation systems, greenhouse emissions, and data mining (HK, JG, WF), pp. 1209–1212.
- ICDAR-2009-SeniukB #gesture #recognition
- Pen Acoustic Emissions for Text and Gesture Recognition (AGS, DB), pp. 872–876.
- ICEIS-AIDSS-2009-RodriguesNCM #using
- Estimating Greenhouse Gas Emissions using Computational Intelligence (JAPR, LBN, PHGC, JCCBSdM), pp. 248–250.
- ICPR-v1-2002-VarmaB #estimation
- Tool Wear Estimation from Acoustic Emissions: A Model Incorporating Wear-Rate (SV, JSB), pp. 492–495.
- DATE-2001-KralicekJG #analysis #modelling
- Modeling electromagnetic emission of integrated circuits for system analysis (PK, WJ, HG), pp. 336–340.