Zobrazeno 1 - 10
of 17 802
pro vyhledávání: '"A. Fawaz"'
Publikováno v:
Catalysis Communications, Vol 171, Iss , Pp 106521- (2022)
The catalytic oxidation of carbon monoxide (CO) and hydrocarbons (HC) is a very important process for maintaining health protection systems. So nickel and silver are widely used in heterogeneous catalysis. In this work, the activate of (NiO, Ag/ Fe2O
Externí odkaz:
https://doaj.org/article/0694fc84e3d640978cd03dd85f48ecf5
Pedestrian heading tracking enables applications in pedestrian navigation, traffic safety, and accessibility. Previous works, using inertial sensor fusion or machine learning, are limited in that they assume the phone is fixed in specific orientation
Externí odkaz:
http://arxiv.org/abs/2410.06400
With the steadily increasing pedestrian fatalities, pedestrian safety is a growing concern, especially in urban environments. Advanced Driver Assistance Systems (ADAS) have been developed to mitigate road user risks by predicting potential pedestrian
Externí odkaz:
http://arxiv.org/abs/2410.06388
Deep learning models have been shown to be a powerful solution for Time Series Classification (TSC). State-of-the-art architectures, while producing promising results on the UCR and the UEA archives , present a high number of trainable parameters. Th
Externí odkaz:
http://arxiv.org/abs/2409.02869
Privacy policies are crucial in the online ecosystem, defining how services handle user data and adhere to regulations such as GDPR and CCPA. However, their complexity and frequent updates often make them difficult for stakeholders to understand and
Externí odkaz:
http://arxiv.org/abs/2408.14830
Computer vision systems have been deployed in various applications involving biometrics like human faces. These systems can identify social media users, search for missing persons, and verify identity of individuals. While computer vision models are
Externí odkaz:
http://arxiv.org/abs/2407.13922
This study addresses the challenges of energy deficiencies and high impact low probability (HILP) events in modern electrical grids by developing resilient microgrid energy management strategies. It introduces a sliding Model Predictive Control (MPC)
Externí odkaz:
http://arxiv.org/abs/2407.10278
Autor:
Middlehurst, Matthew, Ismail-Fawaz, Ali, Guillaume, Antoine, Holder, Christopher, Rubio, David Guijo, Bulatova, Guzal, Tsaprounis, Leonidas, Mentel, Lukasz, Walter, Martin, Schäfer, Patrick, Bagnall, Anthony
aeon is a unified Python 3 library for all machine learning tasks involving time series. The package contains modules for time series forecasting, classification, extrinsic regression and clustering, as well as a variety of utilities, transformations
Externí odkaz:
http://arxiv.org/abs/2406.14231
Autor:
Tang, Mingwei, Liu, Meng, Li, Hong, Yang, Junjie, Wei, Chenglin, Li, Boyang, Li, Dai, Xu, Rengan, Xu, Yifan, Zhang, Zehua, Wang, Xiangyu, Liu, Linfeng, Xie, Yuelei, Liu, Chengye, Fawaz, Labib, Li, Li, Wang, Hongnan, Zhu, Bill, Reddy, Sri
In recommendation systems, high-quality user embeddings can capture subtle preferences, enable precise similarity calculations, and adapt to changing preferences over time to maintain relevance. The effectiveness of recommendation systems depends on
Externí odkaz:
http://arxiv.org/abs/2406.05898
The development of generative artificial intelligence for human motion generation has expanded rapidly, necessitating a unified evaluation framework. This paper presents a detailed review of eight evaluation metrics for human motion generation, highl
Externí odkaz:
http://arxiv.org/abs/2405.07680