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Rajagopalan-Sam Rajadurai and Su-Tae Kang
Cracking in concrete structures affects performance and is a major durability problem. Cracks must be detected and repaired in time in order to maintain the reliability and performance of the structure. This study focuses on vision-based crack detection ...
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Yong Liu, Jialin Zhou, Dong Zhang, Shaoyu Wei, Mingshun Yang and Xinqin Gao
To solve the problem of low diagnostic accuracy caused by the scarcity of fault samples and class imbalance in the fault diagnosis task of box-type substations, a fault diagnosis method based on self-attention improvement of conditional tabular generativ...
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Bing Li, Bin Liu, Shuofeng Li and Haiming Liu
Rice is one of the important staple foods for human beings. Germ integrity is an important indicator of rice processing accuracy. Traditional detection methods are time-consuming and highly subjective. In this paper, an EfficientNet?B3?DAN model is propo...
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César G. Pachón, Dora M. Ballesteros and Diego Renza
Recently, some state-of-the-art works have used deep learning-based architectures, specifically convolutional neural networks (CNNs), for banknote recognition and counterfeit detection with promising results. However, it is not clear which design strateg...
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Julio Suarez-Paez, Mayra Salcedo-Gonzalez, Alfonso Climente, Manuel Esteve, Jon Ander Gómez, Carlos Enrique Palau and Israel Pérez-Llopis
This paper shows a Novel Low Processing Time System focused on criminal activities detection based on real-time video analysis applied to Command and Control Citizen Security Centers. This system was applied to the detection and classification of crimina...
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Jiapeng Cui and Feng Tan
Rice diseases are extremely harmful to rice growth, and achieving the identification and rapid classification of rice disease spots is an essential means to promote intelligent rice production. However, due to the large variety of rice diseases and the s...
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Augustas Urbonas, Vidas Raudonis, Rytis Maskeliunas and Robertas Dama?evicius
In the lumber and wood processing industry, most visual quality inspections are still done by trained human operators. Visual inspection is a tedious and repetitive task that involves a high likelihood of human error. Currently, new automated solutions w...
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Lili Yang, Changlong Wang, Jianfeng Yu, Nan Xu and Dongwei Wang
Peanuts are prone to insect damage, breakage, germination, mildew, and other defects, which makes the quality of peanuts uneven. The difference in peanut pod quality makes the price and economic benefit also have a big difference. The classification of p...
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L. G. Divyanth, D. S. Guru, Peeyush Soni, Rajendra Machavaram, Mohammad Nadimi and Jitendra Paliwal
Applications of deep-learning models in machine visions for crop/weed identification have remarkably upgraded the authenticity of precise weed management. However, compelling data are required to obtain the desired result from this highly data-driven ope...
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Mohammad Alkhaleefah, Shang-Chih Ma, Yang-Lang Chang, Bormin Huang, Praveen Kumar Chittem and Vishnu Priya Achhannagari
Differentiation between benign and malignant breast cancer cases in X-ray images can be difficult due to their similar features. In recent studies, the transfer learning technique has been used to classify benign and malignant breast cancer by fine-tunin...
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Yunwei Xiong, Yuhua Li, Chenyang Wang, Hanqing Shi, Sunyuan Wang, Cheng Yong, Yan Gong, Wentian Zhang and Xiuguo Zou
As a non-destructive detection method, an electronic nose can be used to assess the freshness of meats by collecting and analyzing their odor information. Deep learning can automatically extract features and uncover potential patterns in data, minimizing...
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Daniel Alexis Pérez-Aguilar, Redy Henry Risco-Ramos, Luis Casaverde-Pacherrez
The classification of thermal images is a key aspect in the industrial sector, since it is usually the starting point for the detection of faults in electrical equipment. In some cases, this task is automated through the use of traditional artificial int...
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Daniel Alexis Pérez-Aguilar, Redy Henry Risco-Ramos, Luis Casaverde-Pacherrez
The classification of thermal images is a key aspect in the industrial sector, since it is usually the starting point for the detection of faults in electrical equipment. In some cases, this task is automated through the use of traditional artificial int...
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Zhi-Yong Wang and Dae-Ki Kang
CORrelation ALignment (CORAL) is an unsupervised domain adaptation method that uses a linear transformation to align the covariances of source and target domains. Deep CORAL extends CORAL with a nonlinear transformation using a deep neural network and ad...
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Mohamed Loey, Mukdad Naman and Hala Zayed
Leukemia is a fatal disease that threatens the lives of many patients. Early detection can effectively improve its rate of remission. This paper proposes two automated classification models based on blood microscopic images to detect leukemia by employin...
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Shiplu Das, Sanjoy Pratihar, Buddhadeb Pradhan, Rutvij H. Jhaveri and Francesco Benedetto
The main purpose of a detection system is to ascertain the state of an individual?s eyes, whether they are open and alert or closed, and then alert them to their level of fatigue. As a result of this, they will refrain from approaching an accident site. ...
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Feiyun Wang, Chengxu Lv, Yuxuan Pan, Liming Zhou and Bo Zhao
External defects of kiwifruit seriously affect its added commercialization. To address the existing problems, kiwifruit external defects detection has a few methods for detecting multi-category defects and weak adaptability to complex images. In this stu...
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Ivan Kuric, Jaromír Klarák, Vladimír Bulej, Milan Sága, Matej Kandera, Adrián Hajducík and Karol Tucki
The article discusses the possibility of object detector usage in field of automated visual inspection for objects with specific parameters, specifically various types of defects occurring on the surface of a car tire. Due to the insufficient amount of i...
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Roseline Oluwaseun Ogundokun, Rytis Maskeliunas and Robertas Dama?evicius
With the advancement in pose estimation techniques, human posture detection recently received considerable attention in many applications, including ergonomics and healthcare. When using neural network models, overfitting and poor performance are prevale...
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Nataliya Shakhovska and Pavlo Pukach
This paper focuses on different types of backbone networks for machine learning architectures which perform classification of knee Magnetic Resonance Imaging (MRI) images. This paper aims to compare different types of feature extraction networks for the ...
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