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

人工合成

書目名稱Data Management, Analytics and Innovation影響因子(影響力)




書目名稱Data Management, Analytics and Innovation影響因子(影響力)學科排名




書目名稱Data Management, Analytics and Innovation網(wǎng)絡(luò)公開度




書目名稱Data Management, Analytics and Innovation網(wǎng)絡(luò)公開度學科排名




書目名稱Data Management, Analytics and Innovation被引頻次




書目名稱Data Management, Analytics and Innovation被引頻次學科排名




書目名稱Data Management, Analytics and Innovation年度引用




書目名稱Data Management, Analytics and Innovation年度引用學科排名




書目名稱Data Management, Analytics and Innovation讀者反饋




書目名稱Data Management, Analytics and Innovation讀者反饋學科排名

桶去微染

Identifying Phishing Through Web Content and Addressed Bar-Based Featuresnternet user into revealing vital, confidential and classified information with the intention of using information gathered against them. Through this form of vulnerability, cybercriminals use the information obtained to gain access into personal information to rob individual of valuables ranging. S

雄辯

A Unified Framework for Outfit Design and Adviceing 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

神刊

Contextual Relevance of ICT-CALL Modules and Its Role in Promoting Employability Skills Among Engineg 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

平躺

affect

A Generalized Ensemble Machine Learning Approach for Landslide Susceptibility Modelingults 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

affect

Comparative Evaluation of AVIRIS-NG and Hyperion Hyperspectral Image for Talc Mineral Identificationral 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

contradict

Real-Time Scheduling Approach for IoT-Based Home Automation Systemat are connected to the Internet. IoT-based applications like smart education, smart agriculture, smart health care, smart homes, etc., which can deliver services without manual intervention and in a more effective manner. In this work, we have proposed an IoT-based smart home automation system usin

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殺死

Calculating AQI Using Secondary Pollutants for Smart Air Management Systemn Modelling can be done through one of the most efficient model “Eulerian Grid based model”. Various existing methods of prediction work on the basis of models resulting in satisfactory outcomes but with some certain loopholes. This project involves methods of predicting pollutants’ concentration an