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	Using Automated Machine Learning for Spatial Prediction-The Heshan Soil Subgroups Case Study 期刊论文 OAI收割 LAND, 2024, 卷号: 13, 期号: 4, 页码: 12 作者: Liang, Peng; Qin, Cheng-Zhi; Zhu, A-Xing \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2024/05/27 automated method selection digital soil mapping soil subgroups classification methods
	An automated method for thermal-optical separation of aerosol organic/elemental carbon for C-13 analysis at the sub-mu gC level: A comprehensive assessment 期刊论文 OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 804, 页码: 10 作者: Yao, Peng; Ni, Haiyan; Paul, Dipayan; Masalaite, Agne; Huang, Ru-Jin \| 收藏 \| 浏览/下载：57/0 \| 提交时间：2021/12/07 Elemental carbon C-13 analysis Automated method Pyrolysis Isotope fractionation
	Study of automated top-coal caving in extra-thick coal seams using the continuum-discontinuum element method 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2019, 卷号: 122, 页码: 16 作者: Zhang, QL \| 收藏 \| 浏览/下载：37/0 \| 提交时间：2019/10/21 Extra-thick coal seam Automated top-coal caving Continuum-discontinuum element method Constitutive model of hydraulic support Bergmark-Roos model
	Synthesis of pilot-scale Co2Mn1.5Fe2.1Zn0.4O8 fabricated by hydrothermal method for NTC thermistor 期刊论文 OAI收割 JOURNAL OF ALLOYS AND COMPOUNDS, 2019, 卷号: 797, 期号: 8, 页码: 1295-1298 作者: Zhang, M (Zhang, Min)[ 1,2 ]; Li, MS (Li, Meishan)[ 2 ]; Zhang, HM (Zhang, Huimin)[ 1 ]; Tuokedaerhan, K (Tuokedaerhan, Kamale)[ 2 ]; Chang, AM (Chang, Aimin)[ 1 ] \| 收藏 \| 浏览/下载：48/0 \| 提交时间：2019/06/28 Pilot-scale Automated hydrothermal method NTC thermistor
	Automated grain boundary detection using the level set method 期刊论文 iSwitch采集 Computers & geosciences, 2009, 卷号: 35, 期号: 2, 页码: 267-275 作者: Lu, Bibo; Cui, Min; Liu, Qiang 收藏 \| 浏览/下载：35/0 \| 提交时间：2019/05/09 Grain boundary detection The level set method Automated image segmentation Strain analysis
	Airborne moving vehicle detection for video surveillance of urban traffic 会议论文 OAI收割 IEEE Intelligent Vehicles Symposium, Xian, PEOPLES R CHINA, JUN 03-05, 2009 作者: Lin, Renjun; Cao, Xianbin; Xu, Yanwu; Wu, Changxia; Qiao, Hong 收藏 \| 浏览/下载：16/0 \| 提交时间：2017/01/12 automated highways / feature extraction / image sequences / traffic engineering computing / video surveillance / airborne moving vehicle detection / airborne urban traffic surveillance / background variance / camera vibration / coarse-to-fine method
	Automated reasoning and equation solving with the characteristic set method 期刊论文 OAI收割 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2006, 卷号: 21, 期号: 5, 页码: 756-764 作者: Wu, Wen-Tsun; Gao, Xiao-Shan \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/07/30 characteristic set method automated reasoning first order theory difference equation
	Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly we use frame grabber to capture the 4-bar target image data. Then according to image gray scale we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets along with known target visibility are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
	Progress in studies on automated generalization of spatial point cluster 会议论文 OAI收割 Hu P.; Qi H. W.; Liu Z. L.; Ieee 收藏 \| 浏览/下载：31/0 \| 提交时间：2012/06/30 automated generalization spatia point cluster optimum method