286   Artículos

 
en línea
Matthias Wölfel, Mehrnoush Barani Shirzad, Andreas Reich and Katharina Anderer    
The emergence of generative language models (GLMs), such as OpenAI?s ChatGPT, is changing the way we communicate with computers and has a major impact on the educational landscape. While GLMs have great potential to support education, their use is not un... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Zhe Yang, Yi Huang, Yaqin Chen, Xiaoting Wu, Junlan Feng and Chao Deng    
Controllable Text Generation (CTG) aims to modify the output of a Language Model (LM) to meet specific constraints. For example, in a customer service conversation, responses from the agent should ideally be soothing and address the user?s dissatisfactio... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nguyen Trung Tuan, Philip Moore, Dat Ha Vu Thanh and Hai Van Pham    
ChatGPT plays significant roles in the third decade of the 21st Century. Smart cities applications can be integrated with ChatGPT in various fields. This research proposes an approach for developing large language models using generative artificial intel... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zahid Masood, Muhammad Usama, Shahroz Khan, Konstantinos Kostas and Panagiotis D. Kaklis    
Generative models offer design diversity but tend to be computationally expensive, while non-generative models are computationally cost-effective but produce less diverse and often invalid designs. However, the limitations of non-generative models can be... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yong Liu, Jialin Zhou, Dong Zhang, Shaoyu Wei, Mingshun Yang and Xinqin Gao    
To solve the problem of low diagnostic accuracy caused by the scarcity of fault samples and class imbalance in the fault diagnosis task of box-type substations, a fault diagnosis method based on self-attention improvement of conditional tabular generativ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mohammad Alhumaid and Ayman G. Fayoumi    
Paranasal sinus pathologies, particularly those affecting the maxillary sinuses, pose significant challenges in diagnosis and treatment due to the complex anatomical structures and diverse disease manifestations. The aim of this study is to investigate t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hexin Lu, Xiaodong Zhu, Jingwei Cui and Haifeng Jiang    
The process of iris recognition can result in a decline in recognition performance when the resolution of the iris images is insufficient. In this study, a super-resolution model for iris images, namely SwinGIris, which combines the Swin Transformer and ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Weiying Wang and Toshihiro Osaragi    
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Nadia Brancati and Maria Frucci    
To support pathologists in breast tumor diagnosis, deep learning plays a crucial role in the development of histological whole slide image (WSI) classification methods. However, automatic classification is challenging due to the high-resolution data and ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Moatsum Alawida, Bayan Abu Shawar, Oludare Isaac Abiodun, Abid Mehmood, Abiodun Esther Omolara and Ahmad K. Al Hwaitat    
The Chat Generative Pre-training Transformer (GPT), also known as ChatGPT, is a powerful generative AI model that can simulate human-like dialogues across a variety of domains. However, this popularity has attracted the attention of malicious actors who ... ver más
Revista: Information    Formato: Electrónico

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