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Wenhao Sun, Yidong Zou, Yunhe Wang, Boyi Xiao, Haichuan Zhang and Zhihuai Xiao
In the practical production environment, the complexity and variability of hydroelectric units often result in a need for more fault data, leading to inadequate accuracy in fault identification for data-driven intelligent diagnostic models. To address th...
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Ru Ye, Hongyan Xing and Xing Zhou
Addressing the limitations of manually extracting features from small maritime target signals, this paper explores Markov transition fields and convolutional neural networks, proposing a detection method for small targets based on an improved Markov tran...
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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...
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Aurora Martínez-Corral, Javier Cárcel-Carrasco, Fabiola Colmenero Fonseca and Flora Francis Kannampallil
This perspective analysis aims to show the most recent and relevant interventions in a representative sample of selected European railway stations, balancing different criteria by reviewing the most characteristic cases. We analyse its impact at the urba...
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Mei Bie, Huan Xu, Quanle Liu, Yan Gao, Kai Song and Xiangjiu Che
Facial expression recognition (FER) is an important field in computer vision with many practical applications. However, one of the challenges in FER is dealing with small sample data, where the number of samples available for training machine learning al...
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Xue Dai, Xiaoqin Li, Yuguang Zhang, Wenping Li, Xiangsheng Meng, Liangning Li and Yanbo Han
With the gradual increase of coal production capacity, the issue of water hazards in coal seam roofs is increasing in prominence. Accurate and effective prediction of the water content of the roof aquifer, based on limited hydrogeological data, is critic...
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Sheesh Ram Ola, Amit Saraswat, Sunil Kumar Goyal, S. K. Jhajharia, Baseem Khan, Om Prakash Mahela, Hassan Haes Alhelou and Pierluigi Siano
As renewable energy (RE) penetration has a continuously increasing trend, the protection of RE integrated power systems is a critical issue. Recently, power networks developed for grid integration of solar energy (SE) have been designed with the help of ...
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Mohammad Wedyan, Alessandro Crippa and Adel Al-Jumaily
Deep neural networks are successful learning tools for building nonlinear models. However, a robust deep learning-based classification model needs a large dataset. Indeed, these models are often unstable when they use small datasets. To solve this issue,...
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Camila Cardoso Pereira,Regis A. Ely,Cláudio Djissey Shikida
Pág. 611 - 634
We test the presence of the dividend month premium in the Brazilian stock market. This premium consists in the existence of abnormal returns when companies are predicted to issue a dividend. We build portfolios based on predicted dividends and estimate a...
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Paola Carrizo
Pág. 155 - 160
P. Carrizo. 2008. Effects of yellow trap size on sampling effi ciency for western fl owerthrips (Frankliniella occidentalis) from pepper plants (Capsicum annum) grown ingreenhouses. Cien. Inv. Agr. 35(2):191-197. Sticky colored traps are used in many col...
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