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Titlebook: Hybrid Intelligent Systems; 20th International C Ajith Abraham,Thomas Hanne,Tzung-Pei Hong Conference proceedings 2021 The Editor(s) (if ap

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Text Classification Using Convolution Neural Networks with FastText Embedding,stem trained and validated with 39, 079 and 6, 000 text datasets. Experimental evaluation with 9, 779 test datasets shows the accuracy of ., which indicates the superior performance compared to the existing techniques.
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Design and Development of Intelligent Pesticide Spraying System for Agricultural Robot,present in the plants by making the decisions for regulating the flow of pesticide and switching among the pesticides to identify the most appropriate one. The fuzzy logic-based control system is developed and implemented successfully into the experimental setup with the help of MATLAB Simulink to the Arduino hardware interface.
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Sparse Wavelet Auto-encoder for Covid-19 Cases Identification,vid-19 cases identification based on sparse coding, wavelet analysis for feature extraction and AE for feature modeling. Our approach is based on sparse coding and wavelet analysis techniques for image representation and it is tested with the COVID-19 dataset. The experimental results demonstrate the performance of our system.
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Conference proceedings 2021aBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering..
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https://doi.org/10.1007/978-3-030-73050-5Hybrid Intelligent Systems; Hybridization of Intelligent Systems; Hybrid Computational Intelligence; HI
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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/h/image/430101.jpg
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Unsupervised Image Segmentation Using THMRF Model,ld processing and the Expectation- Method of moments and Maximization algorithm. The algorithm was validated on synthetic and real images. The basic merit of our proposed method of segmentation lies in its ability to quantify the complex structure as brain tumor.
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