Titlebook: Emergent Converging Technologies and Biomedical Systems; Select Proceedings o N. Marriwala,C. C. Tripathi,Shivakumar Mathapathi Conference

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,Automated Parkinson’s Disease Diagnosis System Using Transfer Learning Techniques,ify spiral images of Parkinson’s patients and healthy individuals. The performance of these architectures was examined in terms of accuracy, sensitivity, specificity, and ROC-AUC. After fine-tuning, it was noted that the performance of all architectures improved and the AlexNet architecture outperfo

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Manual and Automatic Control of Appliances Based on Integration of WSN and IOT Technology,es such as screen surveillance, light and fan power, fire warning and greenhouse service. The detectors are linked to the Pic microcontroller, which sends the sensor’ position to the email address. The Arduino is used to interfere with device and Wlan is also connected to the Arduino to have a Domai

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Improved Sparse PLSR and Run-To-Run Algorithms for Traffic Matrix Prediction in Software-Defined Ne machine learning modeling method that helps in reducing errors, optimizing weights, and thereby lowering the cost function. Evaluating the gradient of the negative likelihood equation in calculating the traffic matrix is a challenging part since all state models are composed of the gradient. In the

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Emergent Converging Technologies and Biomedical SystemsSelect Proceedings o

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Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/e/image/308157.jpg

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978-981-16-8776-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Emergent Converging Technologies and Biomedical Systems978-981-16-8774-7Series ISSN 1876-1100 Series E-ISSN 1876-1119

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