Titlebook: Emerging Research in Computing, Information, Communication and Applications; Proceedings of ERCIC N. R. Shetty,L. M. Patnaik,N. H. Prasad C

Dawdle

,Artificial Intelligence and Machine Learning for Foundry Industry—A Case Study of Belagavi Foundry ducing the wastage in the production. This is indicated in the study as the study results indicate that artificial intelligence and machine learning are a powerful tool for foundry industry for improving production efficiency and enhancing customer satisfaction.

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Awning

Netzwerke – praktikabel und zukunftsf?higand has some drawbacks such as low detection rate. In this regard, a model using convolutional neural networks is proposed. In this model, functional features are extracted from input samples and the samples are classified accurately based on those functional features.

譏諷

Bravura

彈藥

Efficacious Intrusion Detection on Cloud Using Improved BES and HYBRID SKINET-EKNN,The actual implementation is performed on JAVA platform through three datasets NSL-KDD 99, UNSW-NB15 and N-BaIoT datasets. An overview of the overall performance of the three datasets clearly shows that IBES_HSKiNET_EKNN has recorded a peak performance in every matrix through an average accuracy of

anthropologist

,An Amalgamated and Personalized System for the Prognosis and Detecting the Presence of Parkinson’s n decided to come up with a way to predict the onset or presence of this disease based on the few and not easily detectable changes in the person which might be the potential symptoms of this disease which affects more than 1 million people in India annually, will prove to be helpful. With the integ

富足女人

Gesture Detection Using Accelerometer and Gyroscope, application program demands various user intentions; we created a hybrid input device to solve these constraints. The computer already recognizes the presently running application. When the currently running program changes, the same gesture provides a new function required by the new app. As a res

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無目標(biāo)

Conversion of Sign Language to Text Using Machine Learning,een evaluated with various machine learning algorithms that produce almost 5–7% higher accuracy with state-of-the-art methods. Sign language recognition is used to recognize alphabets, letters or words. Communication is a best way to exchange feelings. The deaf community have to be dependent on an i