Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Mateen M. Rizki"'
Publikováno v:
Journal of Chromatography B. 941:50-53
The urinary odors are commonly perceived as unpleasant. While numerous studies have identified the volatile organic compounds (VOCs) released from urine, the odorants responsible for the urine odor are not well characterized. Furthermore, anecdotal r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11eed2af37dd9acd21113cd41d2dbfc2
https://doi.org/10.1016/j.jchromb.2013.09.040
https://doi.org/10.1016/j.jchromb.2013.09.040
Autor:
Claude C. Grigsby, George Preti, Kunio Yamazaki, Jae Kwak, Gary K. Beauchamp, Mateen M. Rizki
Publikováno v:
Physiology & Behavior. 120:211-219
Mice release a variety of chemical signals, particularly through urine, which mediate social interactions and endocrine function. Studies have been conducted to investigate the stability of urinary chemosignals in mice. Neuroendocrine and behavioral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24db2aacb6c068e77d6e5433e140cb5f
https://doi.org/10.1016/j.physbeh.2013.08.011
https://doi.org/10.1016/j.physbeh.2013.08.011
Autor:
George Preti, Gary K. Beauchamp, Mustafa Köksal, Mateen M. Rizki, Claude C. Grigsby, Jae Kwak, Jesusa Josue, Kunio Yamazaki
Publikováno v:
Physiology & Behavior. 107:112-120
Two different structural classes of chemical signals in mouse urine, i.e., volatile organic compounds (VOCs) and the major urinary proteins (MUPs), interact closely because MUPs sequester VOCs. Although qualitative and/or quantitative differences in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77f3ab4776d467cf3ad7148f21eb6a9d
https://doi.org/10.1016/j.physbeh.2012.06.008
https://doi.org/10.1016/j.physbeh.2012.06.008
Autor:
John C. Gallagher, Vincent J. Velten, Mateen M. Rizki, Michael L. Raymer, Edmund G. Zelnio, Frederick D. Garber, Olga Mendoza-Schrock
Publikováno v:
SPIE Proceedings.
Novel techniques are necessary in order to improve the current state-of-the-art for Aided Target Recognition (AiTR) especially for persistent intelligence, surveillance, and reconnaissance (ISR). A fundamental assumption that current AiTR systems mak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96cdc9a5bb8970f8bc7766ef1afc1e79
https://doi.org/10.1117/12.2178408
https://doi.org/10.1117/12.2178408
Publikováno v:
International Journal on Artificial Intelligence Tools. 12:509-526
A new self-adaptive mutation operator, Angular Displacement, for optimizing real-valued vectors is presented. This is designed for applications, called directional problems, where the quality of a solution vector is based exclusively on the direction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::325c79c8a968d0ce698a474981dc9590
https://doi.org/10.1142/s0218213003001344
https://doi.org/10.1142/s0218213003001344
Publikováno v:
Applied Soft Computing. 2:269-282
This paper describes one aspect of a machine-learning system called HELPR that blends the best aspects of different evolutionary techniques to bootstrap-up a complete recognition system from primitive input data. HELPR uses a multi-faceted representa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d44ba1d7d925a7ca153241df5ffd51d5
https://doi.org/10.1016/s1568-4946(02)00060-1
https://doi.org/10.1016/s1568-4946(02)00060-1
Publikováno v:
IEEE Transactions on Evolutionary Computation. 6:594-609
A hybrid evolutionary learning algorithm is presented that synthesizes a complete multiclass pattern recognition system. The approach uses a multifaceted representation that evolves layers of processing to perform feature extraction from raw input da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72a9f15875ba1524b4ead765bcb4d4ec
https://doi.org/10.1109/tevc.2002.806167
https://doi.org/10.1109/tevc.2002.806167
Publikováno v:
Neurocomputing. 42:171-196
E-Net is a new distributed evolutionary learning system that evolves neural-network-based pattern recognition systems (PRSs) with limited human interaction. This system orchestrates a multiplicity of evolutionary and classical learning techniques to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07ec21c22c1a0a7afe8ef0d67c6879f6
https://doi.org/10.1016/s0925-2312(01)00599-9
https://doi.org/10.1016/s0925-2312(01)00599-9
Autor:
Mateen M. Rizki, Ryan McCoppin
Publikováno v:
SPIE Proceedings.
This paper provides an overview of deep learning and introduces the several subfields of deep learning including a specific tutorial of convolutional neural networks. Traditional methods for learning image features are compared to deep learning techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b9e55c8126920908f00cbae8e1f9ed5
https://doi.org/10.1117/12.2054045
https://doi.org/10.1117/12.2054045