Narrow Down Forecast Range: Using Knowledge of Past Operations and Attribute-Dependent Thresholding in Good Fishing Ground Prediction
Author:
Affiliation:
1. Waseda University,Dept. of Communications and Computer Engineering,Tokyo,Japan
2. Japan Agency for Marine-Earth Science and Technology,Application Laboratory,Yokohama,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10244175/10244247/10244346.pdf?arnumber=10244346
Reference25 articles.
1. Anomaly Detection and Segmentation for Wafer Defect Patterns Using Deep Convolutional Encoder–Decoder Neural Network Architectures in Semiconductor Manufacturing
2. Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning
3. Convolutional Autoencoder Application for Breast Cancer Classification
4. Anomaly detection of defects on concrete structures with the convolutional autoencoder
5. Seasonal forecasting of tuna habitat in the Great Australian Bight
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