Titlebook: Engineering Applications of Neural Networks; 19th International C Elias Pimenidis,Chrisina Jayne Conference proceedings 2018 Springer Natur

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書目名稱Engineering Applications of Neural Networks影響因子(影響力)




書目名稱Engineering Applications of Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度




書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Engineering Applications of Neural Networks被引頻次




書目名稱Engineering Applications of Neural Networks被引頻次學(xué)科排名




書目名稱Engineering Applications of Neural Networks年度引用




書目名稱Engineering Applications of Neural Networks年度引用學(xué)科排名




書目名稱Engineering Applications of Neural Networks讀者反饋




書目名稱Engineering Applications of Neural Networks讀者反饋學(xué)科排名

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Face Detection for Crowd Analysis Using Deep Convolutional Neural Networksis not to regurgitate the finding from the original paper on Mask RCNN but provide results on the efficiency of using the method in the context of face detection for crowd analysis. Additionally, exploration of suitable hyper parameters for this context has been performed and described. Code has bee

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Myo-To-Speech - Evolving Fuzzy-Neural Network Prediction of Speech Utterances from Myoelectric Signa the motor control of the sublingual muscle movements monitored at phonation time. A phoneme-to-speech synthesizer generates audio output corresponding to the utterance the subject has tried to enunciate.

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Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniquey of Turkey. The approach uses Fuzzy DEMATEL method to work out the interrelations of chosen criteria, which are weighted with Fuzzy ANP and finally suggest a rank-based list of products with Fuzzy PROMETHEE. The results are verified with the expert view and found very useful.

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https://doi.org/10.1007/978-3-030-49176-5 of 0.93 for the repeating “Meal_Prep” activities. Furthermore, real-time recognition on the collected pilot data occurred near the beginning of the activity 64% of the time and at the halfway point in the activity 96% of the time.

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