fatty-acids 发表于 2025-3-28 16:17:21
http://reply.papertrans.cn/16/1504/150304/150304_41.pngexpound 发表于 2025-3-28 19:11:03
Przemysław Garsztka,Paweł Kliberases in tomato crops using leaf images. The process involves building a convolutional neural network using a pre-trained VGG16 model that pre-processes the images according to its requirements and performs segmentation on images before training and testing the data. The model obtained an accuracy ofMisgiving 发表于 2025-3-29 00:36:25
http://reply.papertrans.cn/16/1504/150304/150304_43.pnginflame 发表于 2025-3-29 05:23:50
Katarzyna Kuziak,Krzysztof Pionteknd moth-flame optimization (MFO) are effective at optimising functions. This work introduces a novel hybrid sentiment-based SVM optimised by particle swarm and moth-flame algorithms (SVMPSOMFO) to improve predicting accuracy. SVMPSOMFO optimises the model’s parameter values by combining PSO and MFO,恸哭 发表于 2025-3-29 08:03:39
Krzysztof Piasecki,Joanna Siwekich are used to determine if transactions are good or bad. The findings of data analysis using Logistic Regression, Linear Discriminant Analysis, Gaussian Naive Bayes, K-Nearest Neighbors Classifier, Decision Tree Classifier, Support Vector Machines, and Random Forest are compared and contrasted in演绎 发表于 2025-3-29 13:48:56
http://reply.papertrans.cn/16/1504/150304/150304_46.png严厉批评 发表于 2025-3-29 16:42:46
http://reply.papertrans.cn/16/1504/150304/150304_47.pngIrascible 发表于 2025-3-29 22:29:40
Contemporary Trends in Local Governanceactory, as it was capable of predicting evidence of having a heart condition in a specific patient utilizing DL and the ML Model (Random-Forest-Classifier) that had high accuracies when compared to other employed classifiers. The proposed DL methodology for predicting heart disease is going to improDignant 发表于 2025-3-30 01:53:49
http://reply.papertrans.cn/16/1504/150304/150304_49.pngdeceive 发表于 2025-3-30 06:21:01
Advances on Intelligent Computing and Data ScienceBig Data Analytics,