别名 发表于 2025-3-23 10:21:27
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Extreme Learning Machines in Predicting the Velocity Distribution in Compound Narrow Channels,are employed to model the velocity field. The results indicate that ELM performed adequately (MAPE = 3.03; RMSE = 0.03) in velocity field prediction. However, it was found that the ELM offers higher performance than the existing methods.CLEAR 发表于 2025-3-23 20:57:28
Rice Classification Using Scale Conjugate Gradient (SCG) Backpropagation Model and Inception V3 Mod Kernel 1121, Steam 86, Basmati, super, Steam 85 and Super Tota. Each class contains 120 samples for training. Total 18 samples of rice are used for testing the network accuracy of each dataset. In this research, data is classified based on maximum area of the grain. The results reveal that Inceptio我不怕牺牲 发表于 2025-3-24 00:06:01
,A Machine Learning Approach to Analyze and Reduce Features to a Significant Number for Employee’s Tch can be considered as the foremost features that lead to employee turnover. Our two steps feature selection technique confirms that there are mainly three features that are responsible for employee’s departure. Later, these selected minimal features have been tested with state of the art algorithmVICT 发表于 2025-3-24 04:05:35
Legal Document Retrieval Using Document Vector Embeddings and Deep Learning,ng legal case documents into different vector spaces, whilst incorporating semantic word measures and natural language processing techniques. The ensemble model built in this study, shows a significantly higher accuracy level, which indeed proves the need for incorporation of domain specific semanti拥护 发表于 2025-3-24 08:27:11
Recognition of Heart Murmur Based on Machine Learning and Visual Based Analysis of Phonocardiographd interpreter dependent visual analysis). We used machine learning based on mel frequency cepestral coefficients as a feature and Hidden Markov Model (HMM) as a classifier. We performed visual analysis based on phonocardiography (PCG) and spectrogram image. Model A ACCA demonstrated 97% CCR, 99.2% sflimsy 发表于 2025-3-24 12:22:47
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