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Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai,Supriya Kapoor,Rahul Bhatia Conference proceedings 2020 Springer Nature Switzerland

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Preventing Neural Network Weight Stealing via Network Obfuscation,rk response significantly. This allows space for model stealing, where a malevolent attacker can steal an already trained network, modify the weights and claim the new network his own intellectual property. In certain cases this can prevent the free distribution and application of networks in the em
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5G-FOG: Freezing of Gait Identification in Multi-class Softmax Neural Network Exploiting 5G Spectrusorder and motor impairments, which severely impedes forward locomotion. This paper presents the exploitation of 5G spectrum operating at 4.8 GHz (a potential Chinese frequency band for Internet of Things) to detect the freezing episodes experienced by PD patients. The core idea is to utilize wirele
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Application of Neural Networks to Characterization of Chemical Sensors,successfully. The main purpose of the work is to determine in advance device properties such as current and voltage based on available test data, without the need to build the device. Thus, modification of the design can be carried out based on the optimized and predicted values produced by the Neur
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Application of Machine Learning in Deception Detection,eption is a knotty task as no ideal technique has been found for the detection. According to literature, past researches focused on single cue, it was observed that combining cues will significantly be a good indicator of deception that using a single cue. Since no single verbal or non-verbal cue is
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DiaTTroD: A Logical Agent Diagnostic Test for Tropical Diseases,s paper presents a formal logic for constructing a diagnostic test capable of guiding patient examination. A logical agent based on morphological data is used to aid diagnostic procedures and decision-making. To ensure that the appropriate diagnostic procedure is undertaken, the signs and symptoms o
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