Titlebook: Applied Information Processing Systems; Proceedings of ICCET Brijesh Iyer,Debashis Ghosh,Valentina Emilia Balas Conference proceedings 2022

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Entrepreneurial Orientation in Academiamore popular with the combined use of statistics and machine learning, for various scenarios like improved decision making, revenue and operation improvement, cost reduction, anomalies detection, and many more. It is found that use of inappropriate data mining pattern classification and clustering a

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Elias G. Carayannis,McDonald R. Stewartssential to develop a computer-aided diagnosis system to identify relaxed versus stressed individuals and their correct classification. Heart rate variability (HRV) based on RR interval is a well-proven clinical and diagnostic tool strongly associated with the autonomic nervous system (ANS). In this

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Elias G. Carayannis,Caroline Sippd. The model can understand how a customer feels about a particular product. The dataset used is “fer2013” (Ref. Kaggle Dataset) and is famous for creating “Sentiment Analysis.” The model developed is a self-made model giving a training accuracy of 68.61 and 65.92% test accuracy. The self-made model

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Bournemouth: Urban Beach Not Urban Jungle,wsiness are common among many drivers, which often leads to road accidents. Alerting the driver ahead of time is the best way to avoid road accidents caused by drowsiness. There are numerous techniques to detect drowsiness. In this paper, we have put forward a deep learning-based approach to detect

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Dean A. Shepherd,Vinit Parida,Joakim Wincenta protective outer layer present in human eye, get changed. In this work, we present an exploratory study to find the effectiveness of using sclera region of eye images for age estimation. It employs a modified form of deep neural network model VGG-16. The model is trained and tested by SBVPI datase