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Danju Lv, Jiali Zi, Xin Huang, Mingyuan Gao, Rui Xi, Wei Li and Ziqian Wang
Plant growth is closely related to the structure of its stem. The ultrasonic echo signal of the plant stem carries much information on the stem structure, providing an effective means for analyzing stem structure characteristics. In this paper, we propos...
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Tjokorda Agung Budi Wirayuda, Rinaldi Munir and Achmad Imam Kistijantoro
In computer vision, ethnicity classification tasks utilize images containing human faces to extract ethnicity labels. Ethnicity is one of the soft biometric feature categories useful in data analysis for commercial, public, and health sectors. Ethnicity ...
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Xuanyuan Su, Hongmei Liu and Laifa Tao
In practical engineering, the vibration-based fault diagnosis with few failure samples is gaining more and more attention from researchers, since it is generally hard to collect sufficient failure records of centrifugal pumps. In such circumstances, effe...
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Jiuqing Dong, Yongbin Gao, Hyo Jong Lee, Heng Zhou, Yifan Yao, Zhijun Fang and Bo Huang
Skeleton-based action recognition is a widely used task in action related research because of its clear features and the invariance of human appearances and illumination. Furthermore, it can also effectively improve the robustness of the action recogniti...
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Cuixia Li, Shanshan Yang, Li Shi, Yue Liu and Yinghao Li
Existing end-to-end cloud registration methods are often inefficient and susceptible to noise. We propose an end-to-end point cloud registration network model, Point Transformer for Registration Network (PTRNet), that considers local and global features ...
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Yukuan Sun, Hangming Zhang, Shengjiao Yang and Jianming Wang
Sarcasm often manifests itself in some implicit language and exaggerated expressions. For instance, an elongated word, a sarcastic phrase, or a change of tone. Most research on sarcasm detection has recently been based on text and image information. In t...
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Abeer Abdulaziz AlArfaj and Hanan Ahmed Hosni Mahmoud
Moving object tracking techniques using machine and deep learning require large datasets for neural model training. New strategies need to be invented that utilize smaller data training sizes to realize the impact of large-sized datasets. However, curren...
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Jingyao Li, Lianglun Cheng, Zewen Zheng, Jiahong Chen, Genping Zhao and Zeng Lu
The datasets in the latest semantic segmentation model often need to be manually labeled for each pixel, which is time-consuming and requires much effort. General models are unable to make better predictions, for new categories of information that have n...
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Lei Fu, Tiantian Zhu, Guobing Pan, Sihan Chen, Qi Zhong and Yanding Wei
Power quality disturbances (PQDs) have a large negative impact on electric power systems with the increasing use of sensitive electrical loads. This paper presents a novel hybrid algorithm for PQD detection and classification. The proposed method is cons...
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Iqbal Muhammad Zubair, Yung-Seop Lee and Byunghoon Kim
The selection of group features is a critical aspect in reducing model complexity by choosing the most essential group features, while eliminating the less significant ones. The existing group feature selection methods select a set of important group fea...
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Abdul Rahaman Wahab Sait and Ali Mohammad Alorsan Bani Awad
Coronary artery disease (CAD) is the most prevalent form of cardiovascular disease that may result in myocardial infarction. Annually, it leads to millions of fatalities and causes billions of dollars in global economic losses. Limited resources and comp...
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Marko Ðurasevic, Domagoj Jakobovic, Stjepan Picek and Luca Mariot
The automated design of dispatching rules (DRs) with genetic programming (GP) has become an important research direction in recent years. One of the most important decisions in applying GP to generate DRs is determining the features of the scheduling pro...
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Jiao Su, Yi An, Jialin Wu and Kai Zhang
Pedestrian detection has always been a difficult and hot spot in computer vision research. At the same time, pedestrian detection technology plays an important role in many applications, such as intelligent transportation and security monitoring. In comp...
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Dacheng Yu, Mingjun Zhang, Feng Yao and Jitao Li
Variational Mode Decomposition (VMD) has typically been used in weak fault feature extraction in recent years. The problem analyzed in this study is weak fault feature extraction and the enhancement of AUV thrusters based on Artificial Rabbits Optimizati...
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Yong Li, Ruichen Wang, Dongxu Gao and Zhiyong Liu
Unmanned surface vehicle (USV)-based floating-waste detection presents significant challenges. Due to the water surface?s high reflectivity, there are often light spots and reflections in images captured by USVs. Furthermore, floating waste often consist...
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Md. Jamal Uddin, Md. Martuza Ahamad, Prodip Kumar Sarker, Sakifa Aktar, Naif Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir and Mohammad Ali Moni
Autism Spectrum Disorder (ASD) is a neurological impairment condition that severely impairs cognitive, linguistic, object recognition, interpersonal, and communication skills. Its main cause is genetic, and early treatment and identification can reduce t...
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Kexin Zhao, Rui Jiang and Jun He
Stereo 3D object detection remains a crucial challenge within the realm of 3D vision. In the pursuit of enhancing stereo 3D object detection, feature fusion has emerged as a potent strategy. However, the design of the feature fusion module and the determ...
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Jinhong Wu, Konstantinos Plataniotis, Lucy Liu, Ehsan Amjadian and Yuri Lawryshyn
Synthetic data, artificially generated by computer programs, has become more widely used in the financial domain to mitigate privacy concerns. Variational Autoencoder (VAE) is one of the most popular deep-learning models for generating synthetic data. Ho...
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Dimitris Papathanasiou, Konstantinos Demertzis and Nikos Tziritas
With the rapid growth of cloud computing and the creation of large-scale systems such as IoT environments, the failure of machines/devices and, by extension, the systems that rely on them is a major risk to their performance, usability, and the security ...
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Qi Wang, Peng Guo, Shiwei Dong, Yu Liu, Yuchun Pan and Cunjun Li
Accurate extraction of cropland distribution information using remote sensing technology is a key step in the monitoring, protection, and sustainable development of black soil. To obtain precise spatial distribution of cropland, an information extraction...
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