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Integrating Phenological and Geographical Information with Artificial Intelligence Algorithm to Map Rubber Plantations in Xishuangbanna
phenology topography rubber plantation Landsat Xishuangbanna
2023/12/8
Most natural rubber trees (Hevea brasiliensis) are grown on plantations, making rubber an important industrial crop. Rubber plantations are also an important source of household income for over 20 mil...
芥酸是重要的工业原料,主要来源是甘蓝型油菜种子,为调节甘蓝型油菜种子内芥酸含量,针对甘蓝型油菜芥酸合成过程中的关键酶基因Bnfad2设计特异性amiRNA,并构建种子特异表达载体,转化高芥酸甘蓝型油菜品种MY15和低芥酸甘蓝型油菜品种LEA01,并对转化植株T0种子脂肪酸进行分析。结果表明,转化的高芥酸甘蓝型油菜芥酸的增加最高达到5.12%,最低2.11%;而转化的低芥酸品种,最高仅为0.45%,...
The Machine Beneath: Implications of Artificial Intelligence in Strategic Decisionmaking
Machine Beneath Artificial Intelligence Strategic Decisionmaking Ambitions for Military Use of AI
2019/10/11
On the morning of May 17, 2024 U.S. and Chinese leaders authorized a limited nuclear exchange in the western Pacific. No one, including those who made the decision, is completely sure what caused the ...
Prediction of the effectiveness of rolling dynamic compaction using artificial neural networks and cone penetration test data
soil mechanics rolling dynamic compaction artificial neural networks cone penetration test ground improvement
2018/12/25
Rolling Dynamic Compaction (RDC),which is a ground improvement technique involving non-circular modules drawn behind a tractor,has provided the construction industry with an improved ground compaction...
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information
Side-channel Analysis Artificial Neural Networks Power
2018/5/28
Machine learning has become mainstream across industries. In this work we pose the following question: Is it possible to reverse engineer a neural network by using only side-channel information? We an...
A DETECTION METHOD OF ARTIFICIAL AREA FROM HIGH RESOLUTION REMOTE SENSING IMAGES BASED ON MULTI SCALE AND MULTI FEATURE FUSION
Artificial Areas Automatic Detection Geometric Features Visual Saliency Features Multi Scale Feature Fusion
2017/7/12
In order to solve the problem of automatic detection of artificial objects in high resolution remote sensing images, a method for detection of artificial areas in high resolution remote sensing images...
IMPROVING GLOBALlAND30 ARTIFICIAL TYPE EXTRACTION ACCURACY IN LOW-DENSITY RESIDENTS
GlobalLand 30 TM Low-density residents nighttime light remote sensing image TM6 TR-NDBI
2016/12/1
GlobalLand 30 is the first 30m resolution land cover product in the world. It covers the area within 80°N and 80°S. There are ten classes including artificial cover, water bodies, woodland, lawn, bare...
ENHANCEMENT OF STEREO IMAGERY BY ARTIFICIAL TEXTURE PROJECTION GENERATED USING A LIDAR
stereo LIDAR pattern projection structured light texture Gotcha
2016/11/11
Passive stereo imaging is capable of producing dense 3D data, but image matching algorithms generally perform poorly on images with large regions of homogenous texture due to ambiguous match costs. St...
Predicting the earthwork width and determining the annual growth loss due to forest road construction using artificial neural network and ArcGIS
area of road earthwork hillside slope roadside rock share
2016/8/2
The area of forest destruction as well as the annual growth loss due to road construction before constructing a road was predicted. To do this, road cross sections of 88 points along the 10 km propose...
Artificial Examples of Empirical Equivalence
Empirical equivalence underdetermination van Fraassen conventionality of geometry systems of the world
2016/6/12
In this paper I analyze three artificial examples of empirical equivalence: van Fraassen’s alternative formulations of Newton’s theory, the Poincaré-Reichenbach argument for the conventionality of geo...
Benefits of hormone treatment of both sexes in semi-artificial reproduction of pikeperch (Sander lucioperca L.)
hCG spermatozoa fertilization hatching spawning nest larvae
2016/6/3
Propagation of pikeperch Sander lucioperca by semi-artificial management was investigated using hormonal induction to better understand the effect of hormonal treatment of both sexes. Fourteen pairs o...
Re-creating the Philosopher’s Mind:Artificial Life from Artificial Intelligence
Artificial life Artificial intelligence Emergent behavior Social Interaction
2016/5/30
The ultimate goal of artificial intelligence (AI) research is to create a system with human level intelligence. Many researchers conceded that human-like interaction in a social context to be critical...
Artificial sweeteners (aspartame, saccharin) were tested using the limit concentration (100 mg/l or 100 mg/kg). Model species were duckweed (Lemna minor), green algae (Desmodesmus subspicatus), mustar...
The P600 in Implicit Artificial Grammar Learning
EEG Artificial syntax Implicit learning Artificial grammar learning Structural mereexposure Preference classification
2016/5/3
The suitability of the artificial grammar learning (AGL) paradigm to capture relevant aspects of the acquisition of linguistic structures has been empirically tested in a number of EEG studies. Some h...
TEXTURE-BASED LIDAR GRAY IMAGE SEGMENTATION USING ARTIFICIAL NEURAL NETWORK
LiDAR Texture Artificial Neural Network (ANN) Classification Image segmentation
2016/3/17
Using artificial neural network, a synthetical image derived from light and ranging data was segmented based on the height texture and intensity texture measure. Focusing on a coastal area near ZhuHai...