Results 261 to 270 of about 1,098,703 (325)

Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel

Advanced Engineering Materials, EarlyView.
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker, Felix Radtke, Jonathan Lentz, Santiago Benito, Christoph Broeckmann, Sebastian Weber   +5 more
wiley   +1 more source

Effects of multisensory simultaneity judgment training on the comprehension and cortical processing of speech in noise: a randomized controlled trial. [PDF]

Sci Rep
Kunnath AJ, Bertisch HS, Kim AS, Gifford RH, Wallace MT.   +4 more
europepmc   +1 more source

Contributions of hemispheric dynamics in visual word recognition: uncovering familiarity effects through lateralized priming. [PDF]

Front Psychol
Kim S, Nam K.
europepmc   +1 more source

Impaired odor recognition memory in Parkinson's disease linked to absent functional hippocampal asymmetry. [PDF]

NPJ Parkinsons Dis
Eek T, Bolton TAW, Dizdar N, Larsson M, Lundin F, Georgiopoulos C.   +5 more
europepmc   +1 more source

A Novel Approach for Visual Speech Recognition Using the Partition-Time Masking and Swin Transformer 3D Convolutional Model. [PDF]

Sensors (Basel)
Zhang X, Hu Y, Liu X, Gu Y, Li T, Yin J, Liu T.   +6 more
europepmc   +1 more source

Neural oscillations and top-down connectivity are modulated by object-scene congruency

Gu Y, Krugliak A, Clarke A.
europepmc   +1 more source

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Compression for visual pattern recognition

2008 3rd International Symposium on Communications, Control and Signal Processing, 2008
To date, computer science solves pattern recognition problems by highly task specific algorithms. Searching for a generic, unifying principle of pattern recognition, Benedetto et al. showed that compression is a good candidate: For the domain of text, approximating the mutual information of patterns by the achievable compression factors allows to ...
G. Heidemann, H. Ritter
openaire   +2 more sources

Interactive visual pattern recognition

Object recognition supported by user interaction for service robots, 2003
Computer Assisted Visual Interactive Recognition (CAVIAR) draws on sequential pattern recognition, image database, expert systems, pen computing, and digital camera technology. It is designed to recognize wildflowers and other families of similar objects more accurately than machine vision and faster than most laypersons. The novelty of the approach is
George Nagy, Jie Zou
openaire   +2 more sources

Semantics of the recognition of visual patterns

Journal of Optical Technology, 2011
This article compares external real objects (images, video) with the internal world of their semantic representation. An algorithm is proposed for semantic learning and the recognition of visual patterns. A definition is given of the concept of “intelligent optics.” The world is not everything that can be (not Infinitum, but Indeterminatum).
V. V. Alexandrova, V. V. Alexandrov, A. A. Zaytseva   +2 more
openaire   +2 more sources