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Amedeo D?Angiulli, Christy Laarakker and Derrick Matthew Buchanan
Grossberg?s adaptive resonance theory (ART) provides a framework for understanding possible interactions between mental imagery and visual perception. Our purpose was to integrate, within ART, the phenomenological notion of mental image vividness and thu...
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Dafnis N. Coudounaris, Peter Björk, Tõnis Mets, Rustam Asadli and Andreea I. Bujac
Based on the trust/commitment theory and the customer-based brand equity theory, this study aims to ascertain which of the brand equity drivers of A. Le Coq beer have an impact on attachment and its overall brand equity in the Estonian brewery market. In...
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Carmelo Scribano, Danilo Pezzi, Giorgia Franchini and Marco Prato
With the recent advancements in the field of diffusion generative models, it has been shown that defining the generative process in the latent space of a powerful pretrained autoencoder can offer substantial advantages. This approach, by abstracting away...
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Riyadh Mundher, Shamsul Abu Bakar, Suhardi Maulan, Hangyu Gao, Mohd Johari Mohd Yusof, Azlizam Aziz and Ammar Al-Sharaa
Permanent forest reserves (PFR) in urban areas are an integral aspect of the urban forest concept and the basis of a city?s green infrastructure. The preservation of natural forests in urban areas has become a widely researched topic due to the environme...
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Weisong Zhang, Yukang Wang and Xiaoping Zhou
Navigation networks are a common form of indoor map that provide the basis for a wide range of indoor location-based services, intelligent tasks for indoor robots, and three-dimensional (3D) geographic information systems. The majority of current indoor ...
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Eduard Ziganshin, Danis Nourgaliev, Irina Bayuk, Rail Kadyrov and Thanh Hung Nguyen
Carbonate rocks have a wide variety of pore shapes and different types of grains, which greatly affect the elastic properties and characteristics of the reservoir. This causes certain difficulties in petroelastic modeling. One of the problems is the scal...
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Hui Li, Xueshan Bai, Xing Zhai, Jianqing Zhao, Xiaolong Zhu, Chenxi Li, Kehui Liu and Qizhi Wang
Mountain mudslides have emerged as one of the main geological dangers in the Yanshan region of China as a result of excessive rains. In light of this, a multi-step debris flow hazard assessment method combining optimal weights and a topological object me...
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Shao-Ming Lee and Ja-Ling Wu
Recently, federated learning (FL) has gradually become an important research topic in machine learning and information theory. FL emphasizes that clients jointly engage in solving learning tasks. In addition to data security issues, fundamental challenge...
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Shengqin Bian, Xinyu He, Zhengguang Xu and Lixin Zhang
Noise filtering is a crucial task in digital image processing, performing the function of preprocessing. In this paper, we propose an algorithm that employs deep convolution and soft thresholding iterative algorithms to extract and learn the features of ...
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Liang Li, Ming Chen, Fang Wang, Zhichen Wu and Anan Xu
In this work, the flow field of an autorotating rotor in a water tunnel with various pitches and shaft backward angles was investigated via particle image velocimetry (PIV). The experiments were carried out on a free-rotating two-bladed single rotor. Com...
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