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

混合,攙雜

Image Collection Summarization: Past, Present and Future,ervices to customers will be limited by the type of analysis and knowledge that we can extract from the data. Images constitute a fair share of information in the large form of media that is used for communication. For example text, video, audio to name other few along with their meaningful combinat

Ringworm

Deep Learning Based Semantic Segmentation Applied to Satellite Image,nd requires a host of support. Further automation of information extraction, reliability and decision making regarding content are essential and vital elements. Of late, among the learning based approaches deep neural network (DNN) supported methods have been to efficient and reliable. In this work

大范圍流行

HAVOC

Semantic Web and Data Visualization,age the unstructured data available on web pages efficiently. Semantic Web or also known as Web of Trust structures the scattered data on the Internet according to the needs of the user. It is an extension of the World Wide Web (WWW) which focuses on manipulating web data on behalf of Humans. Due to

BLAZE

Challenges and Responses Towards Sustainable Future Through Machine Learning and Deep Learning, to blend inflating concerns regarding a variety of environmental issues along with socio-economic issues. Shifts in the demeanour of individuals, institutes and firms are presumed as a prerequisite for sustainable development. Through the mode of sustainable development, we can identify our positio

indubitable

Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convoln plays important role in developing robust computer aided diagnosis system. The analysis is performed in proposed work to provide automation in brain tumor segmentation. The adaptive particle swarm optimization along with OTSU is contributed to determine the optimal threshold value. Anisotropic dif