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Titlebook: Advanced Computing and Systems for Security; Volume Eight Rituparna Chaki,Agostino Cortesi,Nabendu Chaki Book 2019 Springer Nature Singapor

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楼主: 阿谀奉承
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Signal Extraction and Benchmarking,cally an improvement on an existing work [.]. We introduced an information theoretic point of view an already existing image-based malware detection method. The introducing entropy filter helps to identify the hidden patterns introduced by certain packers and encryptors, hence yields better accuracy
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https://doi.org/10.1007/0-387-35439-5r of open stages, for example, informal communities and cell phones from which information might be gathered; the volume of such information have likewise expanded after some time progressed toward becoming as Big Data. The traditional model of Big Data does not specify any level for capturing the s
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https://doi.org/10.1007/978-981-99-3970-1ject—an in-vehicle system which idea is to inform about road collisions or serious accidents. As estimated by the European Commission, the implemented system will reduce services’ response time by 40%. This will save 2,500 people a year. In 2015, the European Parliament adopted the legislation that
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Eneko Osaba,Esther Villar-Rodriguezapplications such as transportation, road safety, driving assistance, disaster management system, and lots more. Disaster response and management has enabled transport and communications to play an imperative role in dipping loss of life, economic cost, and disruption. VANETs can be measured as a ri
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https://doi.org/10.1007/978-3-658-17594-8 acoustic features have been used in ASR so far, but among them Mel-frequency cepstral coefficients (MFCCs) and Gammatone frequency cepstral coefficients (GFCCs) are popularly used. To make ASR language and channel independent (if training and testing microphones and languages are not same), i-Vecto
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Simulation of Bending Behavior,, and classification. It has been successfully used for speech recognition and speaker identification as well. The amount of training data and the ratio of training to test data are still the key factors for achieving good results, but have their implications on the real usage. The main contribution
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Market Failure and Public Support of R&D,is system is to calculate volume on some distinct region of 3D range face data. The system has mainly three steps. In the very first step, seven significant facial landmarks are identified on the face. Secondly, six distinct triangular regions A to F are created on the face using any three individua
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