7 Result(s)
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Chapter and Conference Paper
Pacific Oyster Gonad Identification and Grayscale Calculation Based on Unapparent Object Detection
The plumpness of the Pacific oyster gonad, the reproductive organs of both male and female oysters which are buried within the flesh of the oyster in the shell, has important implications for the quality and b...
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Article
Automatic segmentation of thyroid with the assistance of the devised boundary improvement based on multicomponent small dataset
Deep learning has been widely considered in medical image segmentation. However, the difficulty of acquiring medical images and labels can affect the accuracy of the segmentation results for deep learning meth...
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Chapter and Conference Paper
PEDTrans: A Fine-Grained Visual Classification Model for Self-attention Patch Enhancement and Dropout
Fine-grained visual classification (FGVC) is an essential and challenging classification task in computer visual classification, aiming to identify different cars and birds. Recently, most studies use a convol...
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Chapter and Conference Paper
Monochromatic Mutual Nearest Neighbor Queries Over Uncertain Data
As a variant of nearest neighbor queries, mutual nearest neighbor (MNN) search has important applications. In this paper, we formalize the MNN queries in uncertain scenarios, namely the UMNN queries, which re...
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Chapter and Conference Paper
Distributed Big Data Ingestion at Scale for Extremely Large Community of Users
To make big data analytics available to mass online users, in the range of tens of millions, a different architecture other than those in the market has been designed and implemented which employs distributed...
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Chapter and Conference Paper
Crop Model-Based Greenhouse Optimal Control System: Survey and Perspectives
A survey is presented of the developments in scientific literature on the greenhouse optimal control. The related problems to optimal control were discussed, and the schematic diagram of optimal control system...
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Chapter and Conference Paper
Evaluating and Comparing Biomedical Term Identification Systems
In this paper, we propose a term identification system using conditional random fields (CRFs) on two biomedical datasets. Through employing several sets of experiments, we make a comprehensive investigation fo...
