Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 14th International J Frans Coenen,Ana Fred,Joaquim Filipe Conference p

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Knowledge Discovery, Knowledge Engineering and Knowledge Management978-3-031-43471-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/k/image/543884.jpg

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Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classificationocardiogram (ECG) data as the primary input. The motivation is that existing techniques typically first transform ECG data into a 1D signal (waveform) format and then extract a small number of features from this format for classification purposes. It is argued here that this transformation results i

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Degree Centrality Definition, and Its Computation for Homogeneous Multilayer Networks Using Heuristiomplex data sets with multiple types of entities and relationships. When data sets are modeled using MLNs, it is imperative that algorithms for each metric (e.g., degree, betweenness, closeness, etc.) are developed including definitions. As there are no definitions and algorithms for computing centr

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A Dual-Stage Noise Training Scheme for Breast Ultrasound Image Classification is extremely critical, and in-time treatments can greatly help to prevent the cancer cells from spreading. Mammography, MRI, biopsy, ultrasound, etc., are recognized as effective imaging tests for breast cancer. However, the diagnosis entirely depends on the experience and expertise of the radiolog

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CIE: A Cloud-Based Information Extraction System for Named Entity Recognition in AWS, Azure, and Medand medical domain experts to customize and develop their own models using transformers and a range of Cloud resources. Our system provides support for the entire process of managing Cloud resources, including hardware, computing, storage, and training services for NER models..The paper discusses th