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Titlebook: Computational Intelligence in Data Mining - Volume 1; Proceedings of the I Lakhmi C. Jain,Himansu Sekhar Behera,Durga Prasad Conference pr

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樓主: 紀(jì)念性
51#
發(fā)表于 2025-3-30 11:14:29 | 只看該作者
52#
發(fā)表于 2025-3-30 14:10:44 | 只看該作者
Mikael S?ndergaard,Dorthe D?jbakaper, we have addressed the pros and cons of the existing different Mobile Agent communication protocols with their limitations. This paper also presents their parametric comparative study in tabular form.
53#
發(fā)表于 2025-3-30 18:51:45 | 只看該作者
Hybrid Gravitational Search and Particle Swarm Based Fuzzy MLP for Medical Data Classification,achine learning repository are used as benchmark datasets for evaluating the performance of the proposed ‘Fuzzy MLP-GSPSO’ model. The experimental results show that Fuzzy MLP-GSPSO model outperforms Fuzzy MLP-GS and Fuzzy MLP-PSO for all the five datasets in terms of classification accuracy, and therefore can reduce overheads in medical diagnosis.
54#
發(fā)表于 2025-3-31 00:46:06 | 只看該作者
55#
發(fā)表于 2025-3-31 03:45:36 | 只看該作者
The Conventional Wisdom in Strategy,ed to frame the problem on the basis of 2-layer Stackelberg game. Thereafter, the upper layer optimization is solved using evolutionary computation techniques (ACO, GA and a Hybrid of ACO and GA). A comparative analysis done over the aforementioned techniques indicates that the hybrid algorithm exhibits better performance for the proposed model.
56#
發(fā)表于 2025-3-31 07:25:18 | 只看該作者
Planning the implementation details,xtract the required feature vector and then the proposed techniques are used to classify images as normal or abnormal. The results show that the proposed technique gives an accuracy of 100?%, sensitivity of 99?% and specificity 100?%.
57#
發(fā)表于 2025-3-31 13:02:54 | 只看該作者
What is an Organizational Design?,he model is evaluated using the performance metrics such as RMSE and Accuracy. The experimental result shows the proposed model outperforms its MLP counterpart and other two non-hybrid models. The proposed model provides its best result with 97.05?% of classification accuracy.
58#
發(fā)表于 2025-3-31 13:26:54 | 只看該作者
https://doi.org/10.1007/978-3-8349-9459-2s. For each such sub-matrix four Haralick features are calculated. The performance of the proposed identification system based on Haralick features is determined using False Acceptance Rate (FAR) and Genuine Acceptance Rate (GAR).
59#
發(fā)表于 2025-3-31 20:08:35 | 只看該作者
60#
發(fā)表于 2025-4-1 01:29:19 | 只看該作者
https://doi.org/10.1007/978-3-031-17354-7s obtained from the nonlinear model. The simulation results of optimal controller are compared with the results of conventional PID controller. The appropriateness of proposed controller has been shown both in terms of transient and steady state response.
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