256   Artículos

 
en línea
David Mattie, Zihang Fang, Emi Takahashi, Lourdes Peña Castillo and Jacob Levman    
Diffusion magnetic resonance imaging (MRI) tractography is a powerful tool for non-invasively studying brain architecture and structural integrity by inferring fiber tracts based on water diffusion profiles. This study provided a thorough set of baseline... ver más
Revista: Information    Formato: Electrónico

 
en línea
Jian Xu, Yujia Qian, Bingyue He, Huixuan Xiang, Ran Ling and Genyu Xu    
To effectively combat environmental challenges, it is necessary to evaluate urban residential building carbon emissions and implement energy-efficient, emission-reducing strategies. The lack of a specialized carbon emission monitoring system complicates ... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Yupu Huang, Li Zhuo and Jingjing Cao    
Accurately measuring industrial spatial agglomeration patterns is crucial for promoting regional economic development. However, few studies have considered both agglomeration degrees and cluster locations of industries. Moreover, the traditional multi-sc... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Kai Sun, Ziyin Wu, Mingwei Wang, Jihong Shang, Zhihao Liu, Dineng Zhao and Xiaowen Luo    
Polymetallic nodules are spherical or ellipsoidal mineral aggregates formed naturally in deep-sea environments. They contain a variety of metallic elements and are important solid mineral resources on the seabed. How best to quickly and accurately identi... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Abdelghani Azri, Adil Haddi and Hakim Allali    
Collaborative filtering (CF), a fundamental technique in personalized Recommender Systems, operates by leveraging user?item preference interactions. Matrix factorization remains one of the most prevalent CF-based methods. However, recent advancements in ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari and Armantas Ostreika    
The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles is ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Hassan Aleisa, Konstantinos Kontis and Melike Nikbay    
Developing wind tunnel models is time consuming, labor intensive, and expensive. Rapid prototyping for wind tunnel tests is an effective, faster, and cheaper method to obtain aerodynamic performance results while considerably reducing acquisition time an... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Panagiotis D. Kordas, George N. Lampeas and Konstantinos T. Fotopoulos    
The main purpose of this study comprises the design and the development of a novel experimental configuration for carrying out tests on a full-scale stiffened panel manufactured of fiber-reinforced thermoplastic material. Two different test-bench design ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Peranut Nimitsurachat and Peter Washington    
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m... ver más
Revista: AI    Formato: Electrónico

 
en línea
Mansour Bayazidy, Mohammad Maleki, Aras Khosravi, Amir Mohammad Shadjou, Junye Wang, Rabee Rustum and Reza Morovati    
River water is one of the most important natural resources for economic development and environmental sustainability. However, river water systems are vulnerable in some of the densely populated regions across the globe. Intense sand mining and waste dis... ver más
Revista: Water    Formato: Electrónico

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