Machine Learning models for input selection technique for input variable selection for rainfall forecasting
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Thank you for your answer, can you please provide some publications related to these ML methods?
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Muhammad Waqas
I want a model that is balanced with accuracy or speed, faster rcnn has high accuracy while yolo have fast speed. i am thinking to combine them to get a hybrid model to achieve both speed and accuracy
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Suggest one of them 1. Teflon-lined stainless steel autoclave: 2. Alumina (Al2O3) ceramic container
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Why methanol and sulphuric acid, used in the analysis of polyhydroxyalkanoates (PHA) methyl esters by GC-MS? Additionally, why do we typically use non-polar solvents in GC-MS?
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Currently I need to calculate detection probabilities (PD) from radar cross section (RCS) data. Beta distribution parameters for this RCS data are calculated and will be used in Swerling0...
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Thanks
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Hello I want to know about the sputtering condition of depositing FTO from target 95:5%. I tried with RF sputter in pressure 2.5Pa and 100 sccm Ar at room temperature but it showing no...
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I need the python code to forecast what crop production will be in the next decade considering climate and crop production variables as seen in the attached.csv file.
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When the entire neocortex is ablated in rodents, although they are still able to swim, all the limbs move continuously and asynchronously (Vanderwolf 2006; Vanderwolf et al. 1978). Normal animals...
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I have seen plenty of existing works on applied Reinforcement Learning (RL) policies for optimized scheduling in IoT networks including Q-learning, DQNs, and the newer ones including PPO for...
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