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Titlebook: Machine Intelligence for Research and Innovations; Proceedings of MAiTR Om Prakash Verma,Lipo Wang,Anupam Yadav Conference proceedings 2024

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21#
發(fā)表于 2025-3-25 05:49:48 | 只看該作者
22#
發(fā)表于 2025-3-25 11:31:55 | 只看該作者
Secure and Energy Efficient Routing in VANETs Using Nature Inspired Hybrid Optimization,c nature, VANETs are prone to multiple security attacks that can be mitigated using lightweight security solutions based on trust models. There is a trade-off between accuracy and delay in making a decision via trust based models. In a scenario, where the behavior of the node can be estimated by its
23#
發(fā)表于 2025-3-25 11:42:45 | 只看該作者
,Performance Evaluation of?Machine Learning Models for?Intrusion Detection in?Wireless Sensor NetworoS) attacks. This research paper assesses the performance of three machine learning models, namely KNN, Logistic Regression, and Decision Tree (DT), using the WSN DS dataset for WSN intrusion detection. The dataset featured DoS attacks of several types: scheduling, blackhole, flooding, and gray hole
24#
發(fā)表于 2025-3-25 16:56:33 | 只看該作者
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發(fā)表于 2025-3-25 20:51:54 | 只看該作者
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發(fā)表于 2025-3-26 00:16:21 | 只看該作者
27#
發(fā)表于 2025-3-26 07:38:32 | 只看該作者
28#
發(fā)表于 2025-3-26 09:31:32 | 只看該作者
29#
發(fā)表于 2025-3-26 15:25:34 | 只看該作者
Application of Varieties of Learning Rules in Intuitionistic Fuzzy Artificial Neural Network,e new method of intuitionistic fuzzy ANN, which is a groundbreaking work in the field of intuitionistic fuzzy ANN, proves to be more effective than the previous methods because it eliminates the unimportant decision alternatives from the system of available decision alternatives for inputs such as intuitionistic fuzzy matrices.
30#
發(fā)表于 2025-3-26 20:10:14 | 只看該作者
Directional Edge Coding for Facial Expression Recognition System,mpass Mask and Kirsch Compass Mask were two makes used for edge detection considered for the extraction of edge features. In addition, the DEC-FERS lessens the redundancy by removing redundant pixels those won’t have any contribution for center pixel.
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