Titlebook: Data Visualization and Knowledge Engineering; Spotting Data Points Jude Hemanth,Madhulika Bhatia,Oana Geman Book 2020 Springer Nature Switz

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Image Collection Summarization: Past, Present and Future,oral link between the frames that can be exploited using some temporal neural networks like Long Short-Term Memory (LSTM) or Recurrent Neural Networks (RNNs) they prove to be useful in case of designing deep learning based architecture for the event and video summarization. Similarly, for text, it c

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Challenges and Responses Towards Sustainable Future Through Machine Learning and Deep Learning, like machine learning and deep learning are highly effective in overcoming the hurdles which are blocking the path to sustainable future. This paper introduces a methodology which can be adopted to understand the goals of sustainable development by means of knowledge engineering, machine learning a

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Research Trends for Named Entity Recognition in Hindi Language,cision analysis of the NER with respect to six vital aspects. All these aspects are collaborated and visualized in details within the chapter. The future research directions, challenges, and open issues in the field of NER are also presented for keen researchers. One can then design a unified, coher

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