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Ayanabha Jana and Shridevi S. Krishnakumar
The proposed research deals with constructing a sign gesture recognition system to enable improved interaction between sign and non-sign users. With respect to this goal, five types of features are utilized?hand coordinates, convolutional features, convo...
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Tianming Yu, Jianhua Yang and Wei Lu
Advancing the background-subtraction method in dynamic scenes is an ongoing timely goal for many researchers. Recently, background subtraction methods have been developed with deep convolutional features, which have improved their performance. However, m...
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Ping Huang and Yafeng Wu
Airborne speech enhancement is always a major challenge for the security of airborne systems. Recently, multi-objective learning technology has become one of the mainstream methods of monaural speech enhancement. In this paper, we propose a novel multi-o...
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Mei Wang, Qingshan Mei, Xiyu Song, Xin Liu, Ruixiang Kan, Fangzhi Yao, Junhan Xiong and Hongbing Qiu
Unsupervised anomalous sound detection by machines holds significant importance within the realm of industrial automation. Currently, the task of machine-based anomalous sound detection in complex industrial settings is faced with issues such as the chal...
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Ziren Gao, Yi Shen, Jingsong Ma, Jie Shen and Jing Zheng
The comprehensive expression of indoor maps directly affects the visualization effect of the map and the user?s map reading experience. Currently, only the points, lines, and polygons of outdoor maps are used as objects of cartographic generalization. Th...
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Junmin Jia, Fei Hu, Xubo Zhang, Zongyou Ben, Yifan Wang and Kunjie Chen
Automatic weight detection is an essential step in the factory production of Pleurotus eryngii. In this study, a data set containing 1154 Pleurotus eryngii images was created, and then machine vision technology was used to extract eight two-dimensional f...
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Sergey Golubev, Evgenia Novikova and Elena Fedorchenko
Recently, approaches based on the transformation of tabular data into images have gained a lot of scientific attention. This is explained by the fact that convolutional neural networks (CNNs) have shown good results in computer vision and other image-bas...
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David Clement, Emmanuel Agu, John Obayemi, Steve Adeshina and Wole Soboyejo
Breast cancer accounts for 30% of all female cancers. Accurately distinguishing dangerous malignant tumors from benign harmless ones is key to ensuring patients receive lifesaving treatments on time. However, as doctors currently do not identify 10% to 3...
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Hadyan Pratama and Abdul Halim Abdul Latiff
This article demonstrates the use of a type of semi-supervised learning to automatically de-tected geological features in seismic data.
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Li Jiang, Xianghuan Liu, Haixia Wang and Dongdong Zhao
Multimodal biometric recognition involves two critical issues: feature representation and multimodal fusion. Traditional feature representation requires complex image preprocessing and different feature-extraction methods for different modalities. Moreov...
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Chih-Hsien Hsia, Zi-Han Yang, Hong-Jyun Wang and Kuei-Kuei Lai
Developments in multimedia and mobile communication technologies and in mobilized, personalized information security has benefitted various sectors of society, as traditional identification technologies are often complicated. In response to the sharing e...
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Maryam Nisa, Jamal Hussain Shah, Shansa Kanwal, Mudassar Raza, Muhammad Attique Khan, Robertas Dama?evicius and Tomas Bla?auskas
As the number of internet users increases so does the number of malicious attacks using malware. The detection of malicious code is becoming critical, and the existing approaches need to be improved. Here, we propose a feature fusion method to combine th...
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Kun Fan, Chungin Joung and Seungjun Baek
Video prediction which maps a sequence of past video frames into realistic future video frames is a challenging task because it is difficult to generate realistic frames and model the coherent relationship between consecutive video frames. In this paper,...
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Giuseppe Ciaburro
Parking is a crucial element in urban mobility management. The availability of parking areas makes it easier to use a service, determining its success. Proper parking management allows economic operators located nearby to increase their business revenue....
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Wancheng Zhang, Yanmin Luo, Zhi Chen, Yongzhao Du, Daxin Zhu and Peizhong Liu
Discriminative correlation filters (DCFs) have been shown to perform superiorly in visual object tracking. However, visual tracking is still challenging when the target objects undergo complex scenarios such as occlusion, deformation, scale changes and i...
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Wancheng Zhang, Yanmin Luo, Zhi Chen, Yongzhao Du, Daxin Zhu and Peizhong Liu
Discriminative correlation filters (DCFs) have been shown to perform superiorly in visual object tracking. However, visual tracking is still challenging when the target objects undergo complex scenarios such as occlusion, deformation, scale changes and i...
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Yuan hong Zhong, Shun Zhang, Rongbu He, Jingyi Zhang, Zhaokun Zhou, Xinyu Cheng, Guan Huang and Jing Zhang
Feature extraction is a key part of the electronic tongue system. Almost all of the existing features extraction methods are ?hand-crafted?, which are difficult in features selection and poor in stability. The lack of automatic, efficient and accurate fe...
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Yuan Luo, Changbo Wu and Caiyun Lv
The proposed method can improve emotion recognition accuracy in human?computer interactions.
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Hamed Alghamdi and Turki Turki
Overlooked diseases in agriculture severely impact crop growth, which results in significant losses for farmers. Unfortunately, manual field visits for plant disease diagnosis (PDD) are costly and time consuming. Although various methods of PDD have been...
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Lingfeng Huang, Jieyu Zhao and Yu Chen
3D mesh as a complex data structure can provide effective shape representation for 3D objects, but due to the irregularity and disorder of the mesh data, it is difficult for convolutional neural networks to be directly applied to 3D mesh data processing....
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