|
|
|
|
|
Piia Vettik-Leemet and Tõnis Mets
Recently, there has been increased discussion of entrepreneurship and innovation as process-based phenomena. However, research on the essence of dynamic entrepreneurial and innovation processes and their simultaneous interactions needs to be more cohesiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sarah A. Chauncey and H. Patricia McKenna
The purpose of this study is to advance conceptual understandings of the cognitive flexibility construct, in support of creativity and innovation in smart city civic spaces, employing the use of large language model artificial intelligence chatbots such ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ziyan Li, Shasha Xie and Zhe Wei
Currently, human society is in the era of the digital economy, driven by a new wave of digital technology revolution. Against this backdrop, China actively draws on global development concepts, accelerating the advancement of new infrastructure construct...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hao An, Ruotong Ma, Yuhan Yan, Tailai Chen, Yuchen Zhao, Pan Li, Jifeng Li, Xinyue Wang, Dongchen Fan and Chunli Lv
This paper aims to address the increasingly severe security threats in financial systems by proposing a novel financial attack detection model, Finsformer. This model integrates the advanced Transformer architecture with the innovative cluster-attention ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dania Tamayo-Vera, Xiuquan Wang and Morteza Mesbah
The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic domain is pivotal for addressing the multifaceted challenges posed by climate change on agriculture. This paper embarks on a systematic review to dissect the current ut...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yang Liu, Qiang Zhang, Longjin Wang, Shun An, Yan He, Zhimin Fan and Fang Deng
This paper investigates the problem of real-time parameter identification for ship maneuvering parameters and wave peak frequency in an ocean environment. Based on the idea of Euler discretion, a combined model of ship maneuvering and wave peak frequency...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weijun Li, Jintong Liu, Yuxiao Gao, Xinyong Zhang and Jianlai Gu
The task of named entity recognition (NER) is to identify entities in the text and predict their categories. In real-life scenarios, the context of the text is often complex, and there may exist nested entities within an entity. This kind of entity is ca...
ver más
|
|
|
|
|
|
|
|
|
|
|
José Francisco Lima, Fernanda Catarina Pereira, Arminda Manuela Gonçalves and Marco Costa
Linear models, seasonal autoregressive integrated moving average (SARIMA) models, and state-space models have been widely adopted to model and forecast economic data. While modeling using linear models and SARIMA models is well established in the literat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cátia Rosário, Celeste Varum and Anabela Botelho
This study investigates the fundamental role of collaboration in promoting a culture of continuous innovation in companies, driving them to become serial innovators, as evidenced by their industrial property registrations. Furthermore, it explores, in an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chang Guo, Jianfeng Zhu and Xiaoming Wang
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS), real-time and accurate traffic flow prediction has emerged as an ef...
ver más
|
|
|
|
|
|