|
|
|
|
|
Samuele Bumbaca and Enrico Borgogno-Mondino
This work was aimed at developing a prototype system based on multispectral digital photogrammetry to support tests required by international regulations for new Plant Protection Products (PPPs). In particular, the goal was to provide a system addressing...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sara Rajaram and Cassie S. Mitchell
The ability to translate Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) into different modalities and data types is essential to improve Deep Learning (DL) for predictive medicine. This work presents DACMVA, a novel framework ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kangwen Sun, Siyu Liu, Huafei Du, Haoquan Liang and Xiao Guo
The stratospheric airship is a type of aerostat that uses solar energy as its power source and can fly continuously for months or even years in near space. The rapid and accurate prediction of the output power of its solar array is the key to maintaining...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peter K. K. Loh, Aloysius Z. Y. Lee and Vivek Balachandran
The rise in generative Artificial Intelligence (AI) has led to the development of more sophisticated phishing email attacks, as well as an increase in research on using AI to aid the detection of these advanced attacks. Successful phishing email attacks ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abderrazzaq Kharroubi, Zouhair Ballouch, Rafika Hajji, Anass Yarroudh and Roland Billen
Railway scene understanding is crucial for various applications, including autonomous trains, digital twining, and infrastructure change monitoring. However, the development of the latter is constrained by the lack of annotated datasets and limitations o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ying Wang, Yahan Shi, Xiaofeng Xu and Yunjie Zhu
With the continuous advancement of the economy, the issues of resource scarcity and environmental damage are becoming increasingly severe. For example, in terms of water resources, the problems of environmental pollution and ecological imbalance in the w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Safa Chaabane, Khalifa Riahi, Slaheddine Khlifi, Emna Slama and Marnik Vanclooster
Recent technological progress in water management of hydrosystems has been made to deploy efficient and effective water quality monitoring systems (WQMS). Among these, a citizen science (CS)-based water quality monitoring (WQM) program using test strips ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rola R. Hassan, Manar Abu Talib, Fikri Dweiri and Jorge Roman
Implementing the European Foundation for Quality Management (EFQM) business excellence model in organizations is time- and cost-consuming. The integration of artificial intelligence (AI) into the EFQM business excellence model is a promising approach to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhipeng Zhang, Shengquan Liu and Jianming Cheng
In recent years, large-scale pretrained language models have become widely used in natural language processing tasks. On this basis, prompt learning has achieved excellent performance in specific few-shot classification scenarios. The core idea of prompt...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xueshan Gao, Peng Zhou, Qian Xiao, Li Peng and Mingkang Zhang
With the continuous expansion of road networks and the rise in railway transportation capacity, the scale of locomotive crew needs has increased sharply. However, the current training of locomotive crews is inefficient and costly and cannot meet the need...
ver más
|
|
|
|
|
|