Titlebook: Cybernetics, Cognition and Machine Learning Applications; Proceedings of ICCCM Vinit Kumar Gunjan,P. N. Suganthan,Amit Kumar Conference pro

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書目名稱Cybernetics, Cognition and Machine Learning Applications被引頻次




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Arthritis

Simulating User Journeys with?Active Objectstabase along with the patient’s ID. The key objective of this automatic update of pulse or ECG measurements of patients is to prevent any errors caused due to their manual entry. The data of any patient can be readily accessed anytime through the EMR system.

貧窮地活

Fundamentals of Corrosion Kineticson v3 model gave the best training accuracy of 99.22%, while custom made CNN3 gave a promising training accuracy of 96.61%. Both models gave a similar validation accuracy of 97.89%. Sensitivity and specificity for COVID-19 were (100% and 98.5%) and (100% and 100%) for Inception v3 and CNN3, respectively.

圓柱

智力高

止痛藥

Detecting COVID-19 Using Convolution Neural Networks,on v3 model gave the best training accuracy of 99.22%, while custom made CNN3 gave a promising training accuracy of 96.61%. Both models gave a similar validation accuracy of 97.89%. Sensitivity and specificity for COVID-19 were (100% and 98.5%) and (100% and 100%) for Inception v3 and CNN3, respectively.

止痛藥

IoT-Enabled Logistics for E-waste Management and Sustainability, create a win–win situation for both, the developed and developing countries economically and also in an environment-friendly manner. This review paper contributes to the knowledge of e-waste management and is expected to benefit the industry and society.

orthodox

Navigation Through Proxy Measurement of Location by Surface Detection,considered surface types are captured by moving the system containing embedded IMU sensor with raspberry pi on different surfaces. Hence, a robust and portable system is developed which is capable of recognizing the type of surface on which it is navigating.

EPT

CHURL

Feature Construction Through Inductive Transfer Learning in Computer Vision,nd will publish the experiment results for Inception V3, VGG16, and Resnet50 models on the ImageNet dataset by varying the image sizes for source and target datasets, for Inductive transfer Learning and various techniques or methods specially by doing the model transfer.