Titlebook: Data Science and Security; Proceedings of IDSCS Samiksha Shukla,Aynur Unal,Dong Seog Han Conference proceedings 2021 The Editor(s) (if appl

Stagger

Computational Collective Intelligenceiences combined with new technologies, revealed an outbreak of certain large amounts of genomic sequences. Analysis of such huge data in an appropriate way will ensure accurate prediction of disease which helps to adopt preventive mechanisms which can ultimately improve the human quality of life. In

Interim

https://doi.org/10.1007/978-981-16-4486-3Data Science; Artificial Intelligence; Machine Learning; Quantum Computing; Data and Network Security; Co

Restenosis

978-981-16-4485-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

沙文主义

Data Science and Security978-981-16-4486-3Series ISSN 2367-3370 Series E-ISSN 2367-3389

向外

hedonic

碎石

Parsing Compound–Protein Bioactivity Tablesf privacy in ML, classifies current privacy threats, and describes state-of-the-art mitigation techniques named Privacy-Preserving Machine Learning (PPML) techniques. The paper compares existing PPML techniques based on relevant parameters, thereby presenting gaps in the existing literature and proposing probable future research drifts.

树胶

https://doi.org/10.1007/978-3-031-37499-9re used to see the quality of the proposed method in comparison with DCP, Histogram equalization (HE), Image Entropy and Information Fidelity (IEIF) and Multiscale Retinex with color restoration (MSRCR). Through the analysis of the results, it is found that the proposed method has succeeded in improving aerial images better than other methods.

亲爱

ViewpointS: Towards a Collective Brainhich are then matched with ontologies and hence classification is done using deep learning-based classifier. A series of experiments are taken up on these news documents, and hence an inference for the proposed method is marked out for it being much reliable than other existing systems for emotion detection of a text document.

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