Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Kenneth Revett"'
Publikováno v:
Advances in Human-Computer Interaction, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/1ebc430eb5394b13b9a21679d0e7dca6
Market Grooming: The Dark Side of AI Marketing marks a paradigm shift in the field of marketing. This thought-provoking scholarly work examines how customers, markets and communities are groomed, socially conditioned, subliminally marketed to, and in
Autor:
Peter M. Roth, Epameinondas Kapetanios, Kenneth Revett, Anastassia Angelopoulou, Jose Garcia-Rodriguez
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2019 (2019)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Computational Intelligence and Neuroscience, Vol 2019 (2019)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
The fields of machine learning and cognitive computing have been in the last decade revolutionised with neural-inspired algorithms (e.g., deep ANNs and deep RL) and brain-intelligent systems that assist in many real-world learning tasks from robot mo
Publikováno v:
Proceedings of the SmartCity360 2016.
Publikováno v:
Proceedings of the SmartCity360 2016.
Publikováno v:
Expert Systems with Applications. 41:5526-5545
Computer-aided detection/diagnosis (CAD) systems can enhance the diagnostic capabilities of physicians and reduce the time required for accurate diagnosis. The objective of this paper is to review the recent published segmentation and classification
Publikováno v:
Signal, Image and Video Processing. 9:1271-1280
This paper proposes a discrete wavelet feature extraction method for an electrocardiogram (ECG)-based biometric system. In this method, the RR intervals are extracted and decomposed using discrete biorthogonal wavelet in wavelet coefficient structure
Publikováno v:
Memetic Computing. 5:165-177
The selection of the optimal ensembles of classifiers in multiple-classifier selection technique is un-decidable in many cases and it is potentially subjected to a trial-and-error search. This paper introduces a quantitative meta-learning approach ba
Publikováno v:
Global Security, Safety and Sustainability-The Security Challenges of the Connected World ISBN: 9783319510637
With the maturation of the internet, many organizations have relied on the ubiquitous reach of the internet targeting. On average, every “consumer” is exposed to over 300 advertisements throughout a given 24 h period. What is disturbing is that w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e0d6b006cfb40c3df0fb402d1edea64
https://doi.org/10.1007/978-3-319-51064-4_8
https://doi.org/10.1007/978-3-319-51064-4_8
Publikováno v:
Global Security, Safety and Sustainability-The Security Challenges of the Connected World ISBN: 9783319510637
The attacks with CBRN (Chemical, biological, radiological and nuclear) agents are more and more a concern for the security of the world, especially since some terrorist groups have access to CBRN weapons. This work reviews the developments on CBRN pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c347092733a7ad5a2ca4e633c25543b
https://doi.org/10.1007/978-3-319-51064-4_26
https://doi.org/10.1007/978-3-319-51064-4_26