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Titlebook: Intelligent Systems Design and Applications; 18th International C Ajith Abraham,Aswani Kumar Cherukuri,Niketa Gandhi Conference proceedings

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2194-5357 applications in industry and the “real world.” Including contributions by authors from over 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.978-3-030-16656-4978-3-030-16657-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
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Clinical Decision Support System for Neuro-Degenerative Disorders: An Optimal Feature Selective Claport System (CDSS) was build which extract rules from the least sized Decision tree automatically and predict the type of Neuro-degenerative disorder as Alzheimer’s disease, Parkinson’s disease or common to both diseases. The CDSS predicts the disease with classification accuracy as 79.7% and Mathew
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,API Call Based Malware Detection Approach Using Recurrent Neural Network—LSTM,fficiently detect and analyze malware and benign based on their behaviour, i.e. system call sequences specifically. We trained the RNN-Long Short Term Memory (LSTM) model to learn from the most informative of sequences from the API-dataset based on their relative ranking based on Term Frequency-Inve
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Directional Multiscale Feature Extraction for Biomedical Image Indexing and Retrieval Using Contouraccess series of imaging studies (OASIS) MRI and NEMA-CT. The average retrieval precision (ARP) and average retrieval rate (ARR) are used to measure the performance of the proposed method. The experimental results show that the proposed method outperforms well-known existing methods.
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