Titlebook: Advances in Computer Communication and Computational Sciences; Proceedings of IC4S Sanjiv K. Bhatia,Shailesh Tiwari,Munesh C. Trivedi Conf

Rodent

https://doi.org/10.1007/978-3-322-83343-3pplied in wireless device identification for communication system security. This paper selects different characteristics of RF fingerprints and compares the identification accuracy of Zigbee devices with five classification algorithms, including support vector machine, bagging, neural network, naive

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Bündnisse für Wohnen im Quartiere the different existing approach and various protocols are examined for nodes are located nearest neighbor position lists are follows a distributed network based strategy. Thus, determine which vehicle/nodes share the least number of common neighbors. In this proposed paper, nodes which satisfy pre

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Neuralgia

Gesine Foljanty-Jost,Karoline Haufe,Mai Aoki levels, application-level frauds and transaction-level frauds. This paper focus on credit cards fraud detection at application level using features selection methods. In this paper, J48 decision tree, AdaBoost, Random Forest, Naive Bayes, and PART machine learning techniques have been used for dete

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Gesine Foljanty-Jost,Karoline Haufe,Mai Aoki audio, image, text, and sensors. Human’s mood is identified from facial expression and speech tones. Physical activities can be detected by sensors that humans usually carry in form of cellphones. The state-of-the-art data science techniques now make it computationally feasible to identify the acti

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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/a/image/147196.jpg

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978-981-13-6860-8Springer Nature Singapore Pte Ltd. 2019