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Terrance E. Boult, Nicolas M. Windesheim, Steven Zhou, Christopher Pereyda and Lawrence B. Holder
Algorithms for automated novelty detection and management are of growing interest but must address the inherent uncertainty from variations in non-novel environments while detecting the changes from the novelty. This paper expands on a recent unified fra...
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Ines Miguel-Alonso, Bruno Rodriguez-Garcia, David Checa and Andres Bustillo
Immersive Virtual Reality (iVR) is a new technology, the novelty effect of which can reduce the enjoyment of iVR experiences and, especially, learning achievements when presented in the classroom; an effect that the interactive tutorial proposed in this ...
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Shakhnaz Akhmedova, Vladimir Stanovov and Yukihiro Kamiya
In this study, a new approach for novelty and anomaly detection, called HPFuzzNDA, is introduced. It is similar to the Possibilistic Fuzzy multi-class Novelty Detector (PFuzzND), which was originally developed for data streams. Both algorithms initially ...
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Jan Strappa, Paola Caymes-Scutari and Germán Bianchini
The problem of wildfire spread prediction presents a high degree of complexity due in large part to the limitations for providing accurate input parameters in real time (e.g., wind speed, temperature, moisture of the soil, etc.). This uncertainty in the ...
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François Fouss and Elora Fernandes
Providing fair and convenient comparisons between recommendation algorithms?where algorithms could focus on a traditional dimension (accuracy) and/or less traditional ones (e.g., novelty, diversity, serendipity, etc.)?is a key challenge in the recent dev...
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Diego Mellado, Carolina Saavedra, Steren Chabert, Romina Torres and Rodrigo Salas
Deep learning models are part of the family of artificial neural networks and, as such, they suffer catastrophic interference when learning sequentially. In addition, the greater number of these models have a rigid architecture which prevents the increme...
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N. V. Marchenko
Pág. 160 - 173
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Umberto Albertin, Giuseppe Pedone, Matilde Brossa, Giovanni Squillero and Marcello Chiaberge
New technologies are developed inside today?s companies with the ascent of Industry 4.0 paradigm; Artificial Intelligence applied to Predictive Maintenance is one of these, helping factories automate their systems in detecting anomalies. The deviation of...
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Helmer Augusto de Souza Mourão and Horácio Antonio Braga Fernandes de Oliveira
Indoor localization systems are used to locate mobile devices inside buildings where traditional solutions, such as the Global Navigation Satellite Systems (GNSS), do not work well due to the lack of direct visibility to the satellites. Fingerprinting is...
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Yunlai Zhou, Longlong He, Fei Yang and Jingmang Xu
Metal sheets have good performance and have been widely used. Different kinds of defects can be generated during the preparation and service of metal plates, which will cause the structural performance of the metal plates to decline, thus requiring struc...
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Kareem S. Ghareeb, Hossam E. Ahmed, Tamer H. El-Affandy, Ahmed F. Deifalla and Taha A. El-Sayed
In recent years, UHP self-compacted concrete is an innovative category of concrete that has attached a lot of attention because of its higher durability and compressive strength than conventional concrete. So, to overcome the cost of preparation of UHPC ...
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Basem O. Rageh, Mahmoud A. El-Mandouh, Ahmed H. Elmasry and Mohammed M. Attia
Two unique approaches were proposed to strengthen the bond between the glass fiber reinforcement polymer (GFRP) and the RC concrete surfaces. The two bonding materials are epoxy (EP) and geopolymer (GPP) with different ratios of short glass fibers (SGF)....
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Ariel E. Lugo and Heather E. Erickson
Tropical and subtropical dry forest life zones support forests with lower stature and species richness than do tropical and subtropical life zones with greater water availability. The number of naturalized species that can thrive and mix with native spec...
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Kyung-Tae Lee and Hiroyasu Furukawa
The COVID-19 pandemic has significantly impacted societies worldwide, leading to challenges in ensuring well-being and sustainability. In this context, it is essential to better understand consumer consciousness of pro-environmental products from the per...
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Izzuddin Alghifari,Rizal Edy Halim
Pág. 298 - 308
This study aims to understand the effect of expectancy for character growth (learning, novelty, escapism, enjoyment, social value, audio-visual value, and value for money) on online games towards online gamer loyalty. This quantitative research uses a pu...
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Yang Zhang, Yuhong Liu, Guangting Lei, Shengyu Liu and Peng Liang
Bridge management systems (BMSs) are widely used to assist an inspector in performing element-level bridge inspection. Retrieving and determining target elements to be inspected becomes an important factor in the efficiency of bridge inspection. This pap...
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Sulan Wong, Dra., Michelle Salazar Mackenna
Pág. 131 - 152
Debido al requisito de novedad en la solicitud de una patente, se impone a la ciencia académica ?de manera contraria al ethos mertoniano? la lógica de «patentar y luego publicar». Mediante la «excepción de divulgación inocua», figura jurídica que permite...
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Hatice Aydin,Cemal Zehir
Pág. 272 - 283
Consumers? loyalty to a brand depends on their establishing an emotional relationship with it. This relationship may be called as brand romance. Many factors influence the emergence of brand romance (ROM), including brand novelty (BN), brand satisfaction...
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Mohammadali Noktehdan, Mehdi Shahbazpour and Suzanne Wilkinson
This paper examines the relationship between innovation and productivity improvement in the construction industry. It is argued that this relationship is not well understood due to lack of in-depth understanding of innovation in construction. To overcome...
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William Villegas-Ch and Joselin García-Ortiz
In the digital age, the personalization of learning has become a critical priority in education. This article delves into the cutting-edge of educational innovation by exploring the essential role of ontology-based knowledge representation in transformin...
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