异端
发表于 2025-3-28 15:05:34
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粗鲁的人
发表于 2025-3-28 22:07:51
Prediction of Cardiac Diseases Using Machine Learning Algorithms,trokes. Implementation is done using RStudio and WEKA. Even, we applied the same implementation by eliminating few attributes in dataset. The idea behind reducing (eliminating) attributes is that few attributes in the dataset are results of medical tests done to the patients. Sometimes, medical test
表示向下
发表于 2025-3-29 01:52:06
Evaluation of Machine Learning Algorithms for Electroencephalography-Based Epileptic Seizure State ssification of epileptic seizure states. Various performance evaluation parameters used for the comparative analysis are: accuracy, sensitivity, specificity, precision, false positive rate, .1-score, .1-score and area under ROC curve. The standard dataset of Bonn University has been used to perform
勤勉
发表于 2025-3-29 03:33:42
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羊栏
发表于 2025-3-29 08:20:35
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租约
发表于 2025-3-29 13:23:53
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截断
发表于 2025-3-29 17:00:23
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硬化
发表于 2025-3-29 22:48:38
J. Suneetha,Husna Tabassum,Pundalik Chavan,N. R. Deepakr Transform in One, Two or Several Dimensions. is intended for scientists, engineers, students and any readers who wish to widen their knowledge of the DFT and its practical use. This book will also be very use978-1-4471-6131-8978-1-4471-5167-8Series ISSN 1381-6446
生来
发表于 2025-3-30 00:18:19
Vibha Patel,Jaishree Tailor,Amit Ganatrar Transform in One, Two or Several Dimensions. is intended for scientists, engineers, students and any readers who wish to widen their knowledge of the DFT and its practical use. This book will also be very use978-1-4471-6131-8978-1-4471-5167-8Series ISSN 1381-6446
热心助人
发表于 2025-3-30 05:32:24
Shimpy Goyal,Rajiv Singhr Transform in One, Two or Several Dimensions. is intended for scientists, engineers, students and any readers who wish to widen their knowledge of the DFT and its practical use. This book will also be very use978-1-4471-6131-8978-1-4471-5167-8Series ISSN 1381-6446