probiotic
发表于 2025-3-21 16:06:40
书目名称Machine Learning in Aquaculture影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620657<br><br> <br><br>书目名称Machine Learning in Aquaculture影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620657<br><br> <br><br>书目名称Machine Learning in Aquaculture网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620657<br><br> <br><br>书目名称Machine Learning in Aquaculture网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620657<br><br> <br><br>书目名称Machine Learning in Aquaculture被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620657<br><br> <br><br>书目名称Machine Learning in Aquaculture被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620657<br><br> <br><br>书目名称Machine Learning in Aquaculture年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620657<br><br> <br><br>书目名称Machine Learning in Aquaculture年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620657<br><br> <br><br>书目名称Machine Learning in Aquaculture读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620657<br><br> <br><br>书目名称Machine Learning in Aquaculture读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620657<br><br> <br><br>
exigent
发表于 2025-3-21 21:16:03
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/m/image/620657.jpg
Moderate
发表于 2025-3-22 00:34:16
Concluding Remarks,g any vital information, including the feeding time, the feeder cause between the hungry and the happy, and the most relevant, extracting the notable features of the fish movement behaviours across the test. The contribution and future work shall be drawn up in conjunction with the goals reached in this report.
厨师
发表于 2025-3-22 06:03:39
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modest
发表于 2025-3-22 12:15:05
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JOT
发表于 2025-3-22 14:42:54
Machine Learning in Aquaculture978-981-15-2237-6Series ISSN 2191-530X Series E-ISSN 2191-5318
Orchiectomy
发表于 2025-3-22 17:24:11
Image Processing Features Extraction on Fish Behaviour,ely the discriminant analysis (DA), support vector machine (SVM) and .-nearest neighbour (.-NN). The outcome in this chapter will validate the features from image processing as a tool for identifying the behavioural changes of the fish in school size.
FIR
发表于 2025-3-22 21:54:38
Time-Series Identification on Fish Feeding Behaviour,max rotation. The details were then categorized using support vector machine (SVM), K-NN and random forest tree (RF) classifiers. The best identification accuracy was shown with eight described features in the varimax-based PCA. The forecast results based on the K-NN model built on selected data cha
隐士
发表于 2025-3-23 02:34:39
f needs and preferences prevents him from explaining cooperation as a voluntary and spontaneous social phenomenon. In conclusion, the chapter maintains that less formal approaches to needs and preferences are imperative in light of the climate and ecological crises and allow us to examine the pros a
并入
发表于 2025-3-23 07:18:26
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