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Chengyang Peng, Shaohua Jin, Gang Bian, Yang Cui and Meina Wang
The scarcity and difficulty in acquiring Side-scan sonar target images limit the application of deep learning algorithms in Side-scan sonar target detection. At present, there are few amplification methods for Side-scan sonar images, and the amplificatio...
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Jinghua Groppe, Sven Groppe, Daniel Senf and Ralf Möller
Given a set of software programs, each being labeled either as vulnerable or benign, deep learning technology can be used to automatically build a software vulnerability detector. A challenge in this context is that there are countless equivalent ways to...
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Padmalochan Panda, Alekha Kumar Mishra and Deepak Puthal
The first and foremost task of a phishing-detection mechanism is to confirm the appearance of a suspicious page that is similar to a genuine site. Once this is found, a suitable URL analysis mechanism may lead to conclusions about the genuineness of the ...
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Hong Xu, Haozun Sun, Lubin Wang, Xincan Yu and Tianyue Li
The visual quality and spatial distribution of architectural styles represent a city?s image, influence inhabitants? living conditions, and may have positive or negative social consequences which are critical to urban sensing and designing. Conventional ...
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Nikos Tsiknakis, Elisavet Savvidaki, Sotiris Kafetzopoulos, Georgios Manikis, Nikolas Vidakis, Kostas Marias and Eleftherios Alissandrakis
Pollen analysis and the classification of several pollen species is an important task in melissopalynology. The development of machine learning or deep learning based classification models depends on available datasets of pollen grains from various plant...
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Shihao Ma, Jiao Wu, Zhijun Zhang and Yala Tong
Addressing the limitations, including low automation, slow recognition speed, and limited universality, of current mudslide disaster detection techniques in remote sensing imagery, this study employs deep learning methods for enhanced mudslide disaster d...
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Georgios Karantaidis and Constantine Kotropoulos
The detection of computer-generated (CG) multimedia content has become of utmost importance due to the advances in digital image processing and computer graphics. Realistic CG images could be used for fraudulent purposes due to the deceiving recognition ...
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Chengjuan Ren, Sukhoon Lee, Dae-Kyoo Kim, Guangnan Zhang and Dongwon Jeong
In recent years, deep learning has been widely used in the field of coastal waste detection, with excellent results. However, there are difficulties in coastal waste detection such as, for example, detecting small objects and the low performance of the o...
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Damián Morales Sánchez, Antonio Moreno and María Dolores Jiménez López
Within the area of Natural Language Processing, we approached the Author Profiling task as a text classification problem. Based on the author?s writing style, sociodemographic information, such as the author?s gender, age, or native language can be predi...
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Justyna Witulska, Pawel Stefaniak, Bartosz Jachnik, Artur Skoczylas, Pawel Sliwinski and Marek Dudzik
The Inertial Measurement Unit (IMU) is widely used in the monitoring of mining assets. A good example is the Polish underground copper ore mines of KGHM, where research work with the use of the IMU has been carried out for several years. The potential of...
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Esraa Elhariri, Nashwa El-Bendary and Shereen A. Taie
Crack detection on historical surfaces is of significant importance for credible and reliable inspection in heritage structural health monitoring. Thus, several object detection deep learning models are utilized for crack detection. However, the majority...
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Pawel Gryka and Artur Janicki
Many customers rely on online reviews to make an informed decision about purchasing products and services. Unfortunately, fake reviews, which can mislead customers, are increasingly common. Therefore, there is a growing need for effective methods of dete...
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Yu-Chen Lin, Wen-Hui Chen and Cheng-Hsuan Kuo
Road surfaces in Taiwan, as well as other developed countries, often experience structural failures, such as patches, bumps, longitudinal and lateral cracking, and potholes, which cause discomfort and pose direct safety risks to motorists. To minimize da...
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Elias Pajares, Rafael Muñoz Nieto, Liqiu Meng and Gebhard Wulfhorst
A wide range of disciplines require population data with high spatial resolution. In particular, accessibility instruments for active mobility need data on the building access level. Data availability varies by context. Spatially detailed national census...
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Arunabha M. Roy and Jayabrata Bhaduri
In this paper, a deep learning enabled object detection model for multi-class plant disease has been proposed based on a state-of-the-art computer vision algorithm. While most existing models are limited to disease detection on a large scale, the current...
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Dongxue Zhao, Yingli Cao, Jinpeng Li, Qiang Cao, Jinxuan Li, Fuxu Guo, Shuai Feng and Tongyu Xu
Leaf blast is recognized as one of the most devastating diseases affecting rice production in the world, seriously threatening rice yield. Therefore, early detection of leaf blast is extremely important to limit the spread and propagation of the disease....
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Cindy Trinh, Silvia Lasala, Olivier Herbinet and Dimitrios Meimaroglou
This article investigates the applicability domain (AD) of machine learning (ML) models trained on high-dimensional data, for the prediction of the ideal gas enthalpy of formation and entropy of molecules via descriptors. The AD is crucial as it describe...
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