Results 211 to 220 of about 668,131 (266)

A robust aminothiazole-based colorimetric sensor for visual detection of Fe³⁺ ions in environmental and pharmaceutical samples. [PDF]

Sci Rep
Rakshitha GS, Karthik CS, Karuppasamy K, Mallu P, Swamy SN, Alfantazi A.   +5 more
europepmc   +1 more source

Establishment of a One-Step Rapid Visual Detection Method for Pigeon Circovirus Based on the RAA-CRISPR/Cas12a Assay. [PDF]

Vet Sci
Wang C, Tang M, Liu L, Feng E, Luo G, Wu D, Zhou Y, Wu S, Cheng Y, Wang Z.   +9 more
europepmc   +1 more source

CIRCLE-F/V: a dual-mode CRISPR-Cas13a cascade biosensor for ultrasensitive and visual detection of low-abundance EGFR mutations. [PDF]

J Biol Eng
Zhu T, Wang Z, Wu Y, Jiang W, Deng F, Fang R, Yang D.   +6 more
europepmc   +1 more source

Visual Detection of Oxidation in Pecan Oil Using a Filter-Paper-Based Color-Sensitive Aldehyde Detection System. [PDF]

Molecules
Song X, Lu Y, Zhou W, Guo Y, Cui L, Zhu H.   +5 more
europepmc   +1 more source

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Visual-Character Detection

The Journal of Psychology, 1965
(1965). Visual-Character Detection. The Journal of Psychology: Vol. 60, No. 2, pp. 295-300.
D W, BROWN, H D, FRIEDMAN
openaire   +2 more sources

Activity Detection in Scientific Visualization

IEEE Transactions on Visualization and Computer Graphics, 2014
For 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, Deborah Silver, Karen G. Bemis, Pino Martin   +3 more
openaire   +2 more sources

Face detection for visual surveillance

12th International Conference on Image Analysis and Processing, 2003.Proceedings., 2004
In this paper, a real-time face detection system for color image sequences is presented. The system applies three different face detection methods and integrates the obtained results to achieve a greater location accuracy. The first method localizes the human head through outline analysis, focusing the attention of the system on a small image area. The
FORESTI, Gian Luca, MICHELONI, Christian, SNIDARO, Lauro, C. MARCHIOL   +3 more
openaire   +3 more sources

Visual Smoke Detection

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
openaire   +2 more sources

Detection of visual change

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., Grent-'t Jong, T., Verbaten, M.N.   +2 more
openaire   +3 more sources

Activity Detection for scientific visualization

2011 IEEE Symposium on Large Data Analysis and Visualization, 2011
Understanding the science behind ultra-scale simulations requires extracting meaning from data sets of hundreds of terabytes or more. At extreme scales, the data sets are so huge, there is not even enough time to view the data, let alone explore it with basic visualization methods.
Sedat Ozer, Deborah Silver, Karen G. Bemis, Pino Martin, Jay Takle   +4 more
openaire   +1 more source