Titlebook: Big Data – BigData 2020; 9th International Co Surya Nepal,Wenqi Cao,Liang-Jie Zhang Conference proceedings 2020 Springer Nature Switzerland

choleretic

A Web Application for Feral Cat Recognition Through Deep Learninghe basis for the web application. Using images of cats from cameras in five different forests around Victoria, we achieved an average accuracy of identification of individual (distinct) cats of 89.4% with a maximum accuracy of 96.3%. This work is used to support ecologists in the School of Bioscienc

粗野

HAIRY

Ensemble Learning for Heterogeneous Missing Data Imputationets that contained labelled and unlabelled data. The experiments showed that our framework produces encouraging and competitive results when compared to statistical and model-based methods. Since the framework works for various datasets, it overcomes the model-based limitations that were found in th

ODIUM

anthesis

interior

Chemical XAI to Discover Probable Compounds’ Spaces Based on Mixture of Multiple Mutated Exemplars armation of biological activity and target obtained from public DB or literature including related specific text string. The basis of prediction is explainable by showing biological activity and target of similar compounds included in the extracted spaces. The mixture of multiple mutated exemplars an

凶猛

Clinical Trials Data Management in the Big Data Era friendly interface to consult aggregated information promptly. This work establishes a Semantic Data Model for each clinical trial to create a summary of key information in a machine-readable format, and to enrich each summary with semantic information. In addition, it allows the union of these mod

overture

平常

Heavy Vehicle Classification Through Deep Learningction of travel. We apply and compare leading deep learning approaches including You Only Look Once version 3 (YOLOv3) and Single Shot Multi-Box Detector (SSD). This paper builds upon earlier work [.] which focused on data (video) from a single traffic junction in Melbourne. This work is based on a

残暴

Introduction to Kienböck’s Diseaseat MCF outperforms better than traditional cuckoo filter on false positive in theory. Experiments demonstrate that the query time of MCF grows linearly with the growth of number of cuckoo filters, decreases gradually with the growth of sliding window number, and increases with the growth of total elements.