Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amlan Chakrabarti,Valentina Emilia Bal Conference proceedings 2

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Data Management, Analytics and Innovation978-981-13-9364-8Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Cognitive Radio Oriented Wireless Networksknown applications like business, medical and meteorology and so on, typically involves majority of data type in the form of time series. Hence, it is crucial to identify and scope out the potential of time series data owing to its importance on understanding the past trend as well as predicting abo

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矛盾心理

Cognitive Radio Oriented Wireless Networksing leveraged to support the various processes in the supply chain of the industry. On the consumer side, choosing the right outfit for occasions can be quite challenging. It is for this reason that researchers have proposed a number of fashion recommender systems in the literature. Although the pro

inspired

Yiteng Wang,Youping Zhao,Xin Guo,Chen Sung students. This empirical study is based on ensuing perceptions of the learners in the context of imparting useful communication skills promoting employability skills through the ICT-CALL modules. This study probes mainly on how these skills enable individual interest in encouraging skills among th

asthma

Huilong Jin,Chungang Liu,Salimur Choudhury a novel method for predicting the risk of being malignant of Pulmonary?Nodule (PN), presence of which can be an indication of lung cancer, with the motive to reduce the number of unnecessary biopsies and prevent anxiety among the patients. The study has considered different?morphological features a

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Tian Wen,Wanming Liu,Ruiyan Du,Jiangfan Xieults reveal that this approach outperforms prior machine learning-based approaches in terms of precision, recall, and F-score for landslide susceptibility modeling. In this research, three ensemble machine learning algorithms were tested for their applicability in landslide prediction domain, namely

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Gefan Wang,Xuefei Sun,Chungang Liural feature on the small and big scale of measurement. The remote sensing images provide information of earth’s features according to the capability of regional coverage and larger synoptic view, but hyperspectral image provides detailed, subtle variation in the spectral resolution. In this study, H

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