|
|
|
|
|
Haedam Kim, Suhyun Park, Hyemin Hong, Jieun Park and Seongmin Kim
As the size of the IoT solutions and services market proliferates, industrial fields utilizing IoT devices are also diversifying. However, the proliferation of IoT devices, often intertwined with users? personal information and privacy, has led to a cont...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haidi Badr, Nayer Wanas and Magda Fayek
Unsupervised domain adaptation (UDA) presents a significant challenge in sentiment analysis, especially when faced with differences between source and target domains. This study introduces Weighted Sequential Unsupervised Domain Adaptation (WS-UDA), a no...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaodong Cui, Zhuofan He, Yangtao Xue, Keke Tang, Peican Zhu and Jing Han
Underwater Acoustic Target Recognition (UATR) plays a crucial role in underwater detection devices. However, due to the difficulty and high cost of collecting data in the underwater environment, UATR still faces the problem of small datasets. Few-shot le...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kjetil Nordby, Jon Erling Fauske, Etienne Gernez and Steven Mallam
Augmented reality (AR) technology has emerged as a promising solution that can potentially reduce head-down time and increase situational awareness during navigation operations. It is also useful for remote operation centers where video feeds from remote...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tássia Latorraca, Ana Sofia Guimarães and Bárbara Rangel
The research landscape of personalized 3D-printed concrete-based modules for construction and their impact on thermal performance through generative design methods is explored through a bibliometric analysis. Comprehensive analysis techniques, including ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiale Li, Jiayin Guo, Bo Li and Lingxin Meng
The deep learning method has been widely used in the engineering field. The availability of the training dataset is one of the most important limitations of the deep learning method. Accurate prediction of pavement performance plays a vital role in road ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md. Tota Miah, Zoltán Lakner and Mária Fekete-Farkas
The increasing social and environmental challenges, particularly poverty, have brought social entrepreneurship, a highly researched domain, to the attention of academicians. It has emerged as a critical issue in the context of economic development and so...
ver más
|
|
|
|
|
|
|
|
|
|
|
Carlo Impagliazzo, Muriel Cabianca, Maria Laura Clemente, Giuliana Siddi Moreau, Matteo Vocale and Lidia Leoni
This paper describes the development activity that has been carried out for a living laboratory for the city of Cagliari aimed at functioning as a learning center for local SMEs willing to improve their skills in IoT and create applications that will be ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marco Gambitta, Bernd Beirow and Sven Schrape
The manufacturing geometrical variability in axial compressors is a stochastic source of uncertainty, implying that the real geometry differs from the nominal design. This causes the real geometry to lose the ideal axial symmetry. Considering the aerofoi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yitong Zhang, Jiangtao Li, Fang Lu, Siqi Wang, Yangjie Ren, Shiyang Guo, Ben Wang and Wei Gao
The widespread use of non-renewable phosphate fertilizers in agriculture poses a significant pollution threat to soil, necessitating the exploration of sustainable alternatives for phosphate fertility. Releasing phytate phosphorus through microbial phyta...
ver más
|
|
|
|
|
|