Titlebook: Intelligent Systems; Proceedings of SCIS Amit Sheth,Amit Sinhal,Amit Kumar Pandey Conference proceedings 2021 The Editor(s) (if applicable

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Moroccan Stock Market Prediction Using LSTM Model on a Daily Data,or training and 20% for testing. The results are evaluated by some accuracy metrics like root mean square error (RMSE), mean squared logarithmic error (MSLE), mean square error (MSE), mean absolute error (MAE), and root mean squared logarithmic error (RMSLE) and prove the capability of LSTM model in predicting the CSE with a high accuracy.

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A Design of Current Starved Inverter-Based Non-overlap Clock Generator for CMOS Image Sensor,SRAM memory architecture, especially for generating complementary clock signals from non-overlap clock generators to perform read operation in CMOS image sensors intended for biomedical signal processing. Simulation results are derived from Cadence Virtuoso 180?nm technology and measured both write, read, and delay element propagation delay.

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Thyroxine

A Review on Character Segmentation Approach for Devanagari Script,omplex connected characters, and shirorekha. Shirorekha creates the major problem in Devanagari character segmentation, and it reduces segmentation accuracy as compared to Latin script. This paper gives a comparative study on various segmentation techniques used for Devanagari script and finds an efficient approach from these techniques.

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Conference proceedings 2021l and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.

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978-981-16-2250-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Intelligent Systems978-981-16-2248-9Series ISSN 2524-7565 Series E-ISSN 2524-7573

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https://doi.org/10.1007/978-981-16-2248-9Intelligent Systems; Intelligent Business Systems; Web Intelligence; SCIS 2021; ICSCIS Proceedings; Machi

ESO

Hybrid Restricted Boltzmann Algorithm for Audio Genre Classification,assification of classes tend to be similar for deep neural network along with small datasets of conventional versions. The expectation was that deep learning would surpass in terms of performance. Improvement has been seen in terms of accuracy and performance, when more dataset is generated from the limited stock of primary audio track abstract.