Results 231 to 240 of about 428,991 (272)

ARTNet for Micro-Expression Recognition. [PDF]

Sensors (Basel)
Wan C, Zhang W, Chen Y, Song L, Cheng P.
europepmc   +1 more source

Dissecting novel object exploration: a fully automated homecage-based novel object recognition test

Kejzar N, Ho H, Burton S, Katsouri L, Krstulovic M, Arany E, O’Keefe J, Bauza M, Krupic J.   +8 more
europepmc   +1 more source

A bibliometric review of deep learning in crop monitoring: trends, challenges, and future perspectives. [PDF]

Front Artif Intell
Zhang R, Wu X, Li J, Zhao P, Zhang Q, Wuri L, Zhang D, Zhang Z, Yang L.   +8 more
europepmc   +1 more source

Recent advances in plant disease detection: challenges and opportunities. [PDF]

Plant Methods
Shafay M, Hassan T, Owais M, Hussain I, Khawaja SG, Seneviratne L, Werghi N.   +6 more
europepmc   +1 more source

Caries is a gradient, not a boundary: Detection rather than segmentation is the appropriate deep learning approach. [PDF]

Imaging Sci Dent
Heo MS.
europepmc   +1 more source

Plant Bioelectrical Signals for Environmental and Emotional State Classification. [PDF]

Biosensors (Basel)
Gloor PA.
europepmc   +1 more source

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Pattern recognition for automated wire bonding

IEE Proceedings E Computers and Digital Techniques, 1984
The design and development of an integrated pattern-recognition system for transistor/LED wire bonding is presented. The system uses a M6809 microprocessor for computation. Three recognition algorithms are studied, and their relative performances are compared.
Li, HF, Tsang, CM, Cheung, YS
openaire   +2 more sources

Distributed industrial automation systems: Automated communication patterns recognition

2011 IEEE International Conference on Industrial Technology, 2011
Modern manufacturing systems have to continuously adapt to variable custom environment, satisfy to discerning expectations of customers and maintain in the increasing competition. Nowadays, manufacturing plants are very complex, in many cases distributed, composed of many subsystems with different functions that are exchanging a vast amount of data, i ...
Ondrej Kaspar, Miloslav Radakovic
openaire   +1 more source

Automated Pattern Recognition: Video Weld Authentication System

SPIE Proceedings, 1990
Our newly developed video weld authentication system recognizes common structural characteristics between welds. A weld fingerprint is archived for comparison at a later time to the reference weld for verification purposes. This verification procedure is performed using an IBM-PC/AT and state-of-the-art PC image-processing hardware and software.
Kenneth W. Tobin, Stephen W. Allison, John K. Jordan   +2 more
openaire   +1 more source

Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and Now

Zebrafish, 2022
The article assesses the developments in automated phenotype pattern recognition: Potential spikes in classification performance, even when facing the common small-scale biomedical data set, and as a reader, you will find out about changes in the development effort and complexity for researchers and practitioners.
Schutera, Mark, Rettenberger, Luca, Reischl, Markus   +2 more
openaire   +3 more sources