Results 171 to 180 of about 8,355,702 (236)
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Activity Detection in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics, 2014For large-scale simulations, the data sets are so massive that it is sometimes not feasible to view the data with basic visualization methods, let alone explore all time steps in detail. Automated tools are necessary for knowledge discovery, i.e., to help sift through the data and isolate specific time steps that can then be further explored ...
Sedat Ozer +3 more
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NeuroReport, 2003
How do we detect changes in our visual environment? By continuously comparing visual inputs to templates of experiences in the immediate past? Or by determining their rareness, how infrequently a visual event occurred previously? Recent results from event-related potentials have been interpreted in favour of the first hypothesis, as in the case of the ...
Kenemans, J.L. +2 more
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How do we detect changes in our visual environment? By continuously comparing visual inputs to templates of experiences in the immediate past? Or by determining their rareness, how infrequently a visual event occurred previously? Recent results from event-related potentials have been interpreted in favour of the first hypothesis, as in the case of the ...
Kenemans, J.L. +2 more
openaire +3 more sources
ACS Applied Materials and Interfaces, 2020
Formaldehyde (FA) is a widespread indoor air pollutant, and its efficient detection is a large industrial challenge. The development of a building material with real-time and visual self-detection of FA gas is highly desirable for meeting both ...
Yushan Liu +7 more
semanticscholar +1 more source
Formaldehyde (FA) is a widespread indoor air pollutant, and its efficient detection is a large industrial challenge. The development of a building material with real-time and visual self-detection of FA gas is highly desirable for meeting both ...
Yushan Liu +7 more
semanticscholar +1 more source
A visual detection method for nighttime litchi fruits and fruiting stems
Computers and Electronics in Agriculture, 2020It is an important step for the precision operation of the litchi picking robot to accurately detect litchi fruits and fruiting stems in the natural environment.
Cuixiao Liang +6 more
semanticscholar +1 more source
Talanta: The International Journal of Pure and Applied Analytical Chemistry
The development of intelligent, sensitive, and visual methods for the rapid detection of veterinary drug residues is essential to ensure food quality and safety.
Lianshuang Jiang +2 more
semanticscholar +1 more source
The development of intelligent, sensitive, and visual methods for the rapid detection of veterinary drug residues is essential to ensure food quality and safety.
Lianshuang Jiang +2 more
semanticscholar +1 more source
2017
In this paper, we have proposed a novel and efficient visual smoke detection algorithm. Smoke detection in video surveillance is very important for early fire detection. Proposed algorithm uses an unique combination of features to detect smoke efficiently. These features use appearance, energy and motion properties of the smoke.
Abhishek Kumar Tripathi, Shanti Swarup
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In this paper, we have proposed a novel and efficient visual smoke detection algorithm. Smoke detection in video surveillance is very important for early fire detection. Proposed algorithm uses an unique combination of features to detect smoke efficiently. These features use appearance, energy and motion properties of the smoke.
Abhishek Kumar Tripathi, Shanti Swarup
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Journal of Hazardous Materials
The development of high-performance sensors for doxycycline (DOX) detection is necessary because its residue accumulation will cause serious harm to human health and the environment. Here, a novel tri-emission ratiometric fluorescence sensor was proposed
Jiaqi Miao +10 more
semanticscholar +1 more source
The development of high-performance sensors for doxycycline (DOX) detection is necessary because its residue accumulation will cause serious harm to human health and the environment. Here, a novel tri-emission ratiometric fluorescence sensor was proposed
Jiaqi Miao +10 more
semanticscholar +1 more source
Biosystems Engineering, 2020
In this paper, a visual detection method by a UAV (unmanned aerial vehicle) was proposed to detect green mangoes on the surface of the tree crown rapidly and meet the need of estimating the number of mango fruits in orchards.
Juntao Xiong +7 more
semanticscholar +1 more source
In this paper, a visual detection method by a UAV (unmanned aerial vehicle) was proposed to detect green mangoes on the surface of the tree crown rapidly and meet the need of estimating the number of mango fruits in orchards.
Juntao Xiong +7 more
semanticscholar +1 more source
Food Chemistry, 2020
A dual-mode fluorescence/colorimetric sensor based on carbon quantum dots (CQDs) and gold nanoparticles (GNPs) was developed for visual detection of malathion in cabbage.
Nini Liang +10 more
semanticscholar +1 more source
A dual-mode fluorescence/colorimetric sensor based on carbon quantum dots (CQDs) and gold nanoparticles (GNPs) was developed for visual detection of malathion in cabbage.
Nini Liang +10 more
semanticscholar +1 more source
Detection and recognition of visual targets
Journal of the Optical Society of America A, 1985To aid the development of detection-based interpretations of visual resolution, we evaluated theorems that (1) relate observers' performance in detection of a single target to that in 1-of-m signal detection and (2) predict recognition performance from measured performance at 1-of-m detection.
T, Benzschawel, T E, Cohn
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