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Titlebook: Software Engineering Research, Management and Applications; Roger Lee Book 2022 The Editor(s) (if applicable) and The Author(s), under exc

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楼主: adulation
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,Generating Adversarial Robust Defensive CAPTCHA (GARD-CAPTCHA) in Convolutional Neural Networks,bjects in CAPTCHA challenges. To combat the threat, a number of works have been conducted on enhancing the robustness against DNN models. Nonetheless, most existing defensive schemes have been focusing on text character used in the CAPTCHA. Meanwhile, image CAPTCHAs consisting of various objects hav
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A Deep Learning Approach for Lantana Camara Weed Detection and Localization in the Natural EnvironmO framework, object detection in images is accomplished through convolutional neural networks. By using the DeepWeed dataset which was collected from eight locations across northern Australia, we have trained several neural networks to detect the presence of lantana images. We found that the propose
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,Modeling Concretizations in Software Design, and/or operating environments. Specifically, a new approach of modeling concretizations and automatic reasoning about the satisfaction of the specific concretizations is introduced and demonstrated. The main aspects addressed relate to software architecture styles and software design principles. Th
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Label Correction of Sound Data with Label Noise Using Self Organizing Map,eliable solution but processing huge amounts of data is difficult. In addition, sound objects are more complicated to distinguish just by listening alone. To solve this problem, we proposed a label correction method using self-organizing map (SOM), which basically proposes three methods. In addition
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Evaluation Method of Enterprise Cybersecurity,on of enterprise cyber-attack defense system, this paper analyzed the evaluation perspectives of information system, and designed a multi-level index system which covered enterprise’s asset, management, technology, and testing result. Then Analytic Hierarchy Process is adopted to calculate the weigh
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,A Multi-model Multi-task Learning System for Hurricane Genesis Prediction,ple of hours to a couple of days. Studies have been conducted to analyze TCs and make predictions in order to help people make further preparations such as estimating intensity and tracking the storm center. An emerging perspective of these studies is to leverage powerful data mining tools. However,
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