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Titlebook: ICDSMLA 2020; Proceedings of the 2 Amit Kumar,Sabrina Senatore,Vinit Kumar Gunjan Conference proceedings 2022 The Editor(s) (if applicable)

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樓主: Daguerreotype
11#
發(fā)表于 2025-3-23 23:31:21 | 只看該作者
1876-1100 ies for professionals and researchers alike.Includes selecteThis book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, so
12#
發(fā)表于 2025-3-24 04:24:53 | 只看該作者
13#
發(fā)表于 2025-3-24 09:51:35 | 只看該作者
14#
發(fā)表于 2025-3-24 10:40:48 | 只看該作者
15#
發(fā)表于 2025-3-24 16:52:25 | 只看該作者
,A Framework Using Markov-Bayes’ Model for Intrusion Detection in Wireless Sensor Network,the network using mean shift unsupervised clustering algorithm, in the phase of training. In the next stage, the revealed clusters are generalized as an anomaly, if there is definite amount of deviation taken at the preliminary stage from normal cluster which are captured during the initial stage of
16#
發(fā)表于 2025-3-24 22:40:45 | 只看該作者
,Effective Text Comment Classification Using Novel ML Algorithm—Modified Lazy Random Forest,oposed one more novel variant of LRF and the different machine learning algorithms are compared in terms of accuracy with proposed Modified Lazy Random Forest. The results are compare with two techniques, first is the simple hold out, and second is the K-fold cross validation. For both cases the pro
17#
發(fā)表于 2025-3-24 23:33:00 | 只看該作者
An Improved Machine Learning Prediction Model for Diabetes, technique to make the final prediction. The accuracy of the proposed technique comes out to be 98.70% and also an improvement in precision, recall and f1 score has been noted. The mean squared error of the proposed algorithm is very less as compared to the previous classifiers.
18#
發(fā)表于 2025-3-25 03:40:25 | 只看該作者
University Recommendation System for Higher Studies in USA,versities to students looking for education for their higher studies. The main parameters used to recommend university are CGPA percentages, GRE Score, TOFEL Score, university rank, etc. This system uses machine learning algorithms and compares the accuracy of the algorithms.
19#
發(fā)表于 2025-3-25 11:06:55 | 只看該作者
20#
發(fā)表于 2025-3-25 13:20:27 | 只看該作者
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