Results 51 to 60 of about 3,946,256 (172)

Imprevisibilidad normativa en el Derecho Internacional respecto a los sistemas de armas autónomas letales

Logos Ciencia & Tecnología
Los sistemas de armas autónomas letales (SAAL) son entidades cibernéticas capaces de seleccionar y atacar objetivos sin la intervención humana directa, soportadas en inteligencia artificial (IA), en contraposición a las armas convencionales, que son ...
Juan Carlos Almache Barreiro, José Jesús Albert Márquez   +1 more
doaj   +1 more source

La Inteligencia Artificial (IA) como herramienta de predicción de la cultura financiera de un país

Journal of Management and Business Education
La Inteligencia Artificial (IA) presenta actualmente diferentes aplicaciones que permiten a través del procesamiento de datos, la posibilidad de aprender, predecir y adoptar soluciones en diferentes campos de conocimiento, entre los que se encuentra el ...
David Borreguero Arias, Raúl Gómez Martínez, Julio Alard Josemaría, Camilo Prado Román   +3 more
doaj   +1 more source

On the Interference Alignment Designs for Secure Multiuser MIMO Systems

, 2016
In this paper, we propose two secure multiuser multiple-input multiple-output transmission approaches based on interference alignment (IA) in the presence of an eavesdropper.
Duong, Trung Quang, Ha, Kha Hoang, Vo, Nguyen-Son, Vu, Thanh Tung   +3 more
core   +1 more source

Seasonal Metal Distribution in Ondo Coastal Sediment, Nigeria

Journal of Applied Sciences and Environmental Management, 2010
The distribution of heavy metals in streambed sediment from an oil-producing region in Nigeria has been examined between the two distinct seasons (dry and wet).
IA Ololade, L Lajide, IA Amoo
doaj   +3 more sources

CSI Feedback Reduction for MIMO Interference Alignment

, 2013
Interference alignment (IA) is a linear precoding strategy that can achieve optimal capacity scaling at high SNR in interference networks. Most of the existing IA designs require full channel state information (CSI) at the transmitters, which induces a ...
Lau, Vincent K. N., Rao, Xiongbin, Ruan, Liangzhong   +2 more
core   +2 more sources

Nucleosynthesis in Type Ia Supernovae

, 1997
Among the major uncertainties involved in the Chandrasekhar mass models for Type Ia supernovae are the companion star of the accreting white dwarf (or the accretion rate that determines the carbon ignition density) and the flame speed after ignition.
Arnett, Branch, F. Brachwitz, F.-K. Thielemann, Fisher, Hashimoto, Hashimoto, K. Iwamoto, K. Nomoto, Khokhlov, Khokhlov, Khokhlov, Livne, Meyer, N. Kishimoto, N. Nakasato, Niemeyer, Nomoto, Nomoto, Nomoto, Nomoto, Nomoto, Nomoto, Nomoto, Nomoto, Renzini, T. Tsujimoto, Thielemann, Thielemann, Thielemann, Tsujimoto, van den Bergh, Woosley, Y. Kubo, Yoshii   +34 more
core   +2 more sources

Channel Aided Interference Alignment [PDF]

, 2016
Interference alignment (IA) techniques mostly attain their degrees of freedom (DoF) benefits as the number of channel extensions tends to infinity. Intuitively, the more interfering signals that need to be aligned, the larger the number of dimensions ...
Haddadi, Farzan, Samadi, Zainalabedin, Vakily, Vahid Tabataba   +2 more
core  

A spectroscopic look at the gravitationally lensed type Ia SN 2016geu at z=0.409

, 2017
The spectacular success of type Ia supernovae (SNe Ia) in SN-cosmology is based on the assumption that their photometric and spectroscopic properties are invariant with redshift.
Cano, Zach, Christensen, Lise, Gall, Christa, Hjorth, Jens, Kann, D. A., Postigo, Antonio de Ugarte, Selsing, Jonatan   +6 more
core   +1 more source

Breaking the color-reddening degeneracy in type Ia supernovae

, 2016
A new method to study the intrinsic color and luminosity of type Ia supernovae (SNe Ia) is presented. A metric space built using principal component analysis (PCA) on spectral series SNe Ia between -12.5 and +17.5 days from B maximum is used as a set of ...
Ashall, C., Hillebrandt, W., Ishida, E. E. O., Mazzali, P. A., Prentice, S., Sasdelli, M.   +5 more
core   +3 more sources

Comparative Analysis of SMOTE and ROSE Oversampling Techniques for kNN-Based Autonomous Vehicle Behavior Modeling

Journal of Communications Software and Systems
In this paper, we present a comparative analysis of Synthetic Minority Oversampling TEchnique (SMOTE) and Random OverSampling Examples (ROSE) oversampling techniques for K Nearest Neigbhors KNN-based autonomous vehicle behavior modeling.
Celine Serbouh Touazi, Iness Ahriz, Ndeye Niang, Alain Piperno   +3 more
doaj   +1 more source