Titlebook: Evolution in Computational Intelligence; Proceedings of the 1 Vikrant Bhateja,Xin-She Yang,Carlos M. Travieso-Go Conference proceedings 202

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https://doi.org/10.1007/978-3-319-23681-0wn as speech-to-text. Speech recognition features are built into a lot of contemporary gadgets and text-focused software to facilitate easier or hands-free usage. Without the use of human-annotated real-time data, this research tries to train reliable models for visual speech recognition. But in ord

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Torsti Loikkanen,Kirsi Hyytinenn. Early prediction can address this problem by decreasing the severity. This paper presents a deep learning-based transfer learning applied to resting state fMRI images for predicting the autism disorder features. We worked with CNN and different transfer learning models such as Inception-V3, Resne

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Zygfryd A. Nowak,Michal J. Cichy in this era of Internet, electronic mail or email, turn out to be very popular because of its effectiveness, inexpensive, and easy to use for personal communication as well as business purposes and sharing important information in the form of text, images, documents, etc. to others. This proficienc

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