|
|
|
|
|
Rong Wang, Xinyang Zhou, Yi Liu, Dongqi Liu, Yu Lu and Miao Su
To ensure the safety and durability of concrete structures, timely detection and classification of concrete cracks using a low-cost and high-efficiency method is necessary. In this study, a concrete surface crack damage detection method based on the ResN...
ver más
|
|
|
|
|
|
|
|
|
|
|
Riad Ibadulla, Thomas M. Chen and Constantino Carlos Reyes-Aldasoro
This paper describes the transformation of a traditional in silico classification network into an optical fully convolutional neural network with high-resolution feature maps and kernels. When using the free-space 4f system to accelerate the inference sp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leila Malihi and Gunther Heidemann
Efficient model deployment is a key focus in deep learning. This has led to the exploration of methods such as knowledge distillation and network pruning to compress models and increase their performance. In this study, we investigate the potential syner...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fang Ji, Junshuai Ni, Guonan Li, Liming Liu and Yuyang Wang
Underwater acoustic target recognition methods based on time-frequency analysis have shortcomings, such as missing information on target characteristics and having a large computation volume, which leads to difficulties in improving the accuracy and imme...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kwihoon Kim and Jin-Yong Choi
Measuring water levels in an irrigation channel is an important task in irrigation system decision making and estimating the quantity of irrigation water supplies. This study aimed to measure water levels with image information from an irrigation channel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zitong Yan, Hongmei Liu, Laifa Tao, Jian Ma and Yujie Cheng
To address the limited data problem in real-world fault diagnosis, previous studies have primarily focused on semi-supervised learning and transfer learning methods. However, these approaches often struggle to obtain the necessary data, failing to fully ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Junbin Zang, Juliang Wang, Zhidong Zhang, Yongqiu Zheng and Chenyang Xue
Cardiovascular disease and its consequences on human health have never stopped and even show a trend of appearing in increasingly younger generations. The establishment of an excellent deep learning algorithm model to assist physicians in identifying and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wen Zhang, Yanqun Wu, Jian Shi, Hongze Leng, Yun Zhao and Jizhou Guo
In shallow water, passive sonar usually has great difficulty in discriminating a surface acoustic source from an underwater one. To solve this problem, a supervised machine learning method using only one hydrophone is implemented in this paper. Firstly, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aayushi Chaudhari, Chintan Bhatt, Achyut Krishna and Pier Luigi Mazzeo
In several fields nowadays, automated emotion recognition has been shown to be a highly powerful tool. Mapping different facial expressions to their respective emotional states is the main objective of facial emotion recognition (FER). In this study, fac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dian Candra Rini Novitasari, Fatmawati Fatmawati, Rimuljo Hendradi, Hetty Rohayani, Rinda Nariswari, Arnita Arnita, Moch Irfan Hadi, Rizal Amegia Saputra and Ardhin Primadewi
Diabetic retinopathy is the leading cause of blindness suffered by working-age adults. The increase in the population diagnosed with DR can be prevented by screening and early treatment of eye damage. This screening process can be conducted by utilizing ...
ver más
|
|
|
|
|
|