Titlebook: Intelligent Systems Design and Applications; 22nd International C Ajith Abraham,Sabri Pllana,Anu Bajaj Conference proceedings 2023 The Edit

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书目名称Intelligent Systems Design and Applications影响因子(影响力)




书目名称Intelligent Systems Design and Applications影响因子(影响力)学科排名




书目名称Intelligent Systems Design and Applications网络公开度




书目名称Intelligent Systems Design and Applications网络公开度学科排名




书目名称Intelligent Systems Design and Applications被引频次




书目名称Intelligent Systems Design and Applications被引频次学科排名




书目名称Intelligent Systems Design and Applications年度引用




书目名称Intelligent Systems Design and Applications年度引用学科排名




书目名称Intelligent Systems Design and Applications读者反馈




书目名称Intelligent Systems Design and Applications读者反馈学科排名

Allodynia

Efficient Twitter Sentiment Analysis System Using Deep Learning Algorithm,de eagerness, happiness, love, neutral, relief, fun, marvel and terrible feelings include anger, boredom, emptiness, hatred, sadness, worrying. The paper have conducted experiments and evaluated performance of Recurrent Neural Networks (RNN) and proposed Improved Long short-time period memory (LSTM)

Integrate

,An Efficient Deep Learning-Based Breast Cancer Detection Scheme with Small Datasets,ost performance further. Here, performance analysis is conducted in both mammogram and ultrasound modalities to display the proposed method’s superiority. The experimental results with five-fold cross-validation show that the proposed breast cancer scheme outperforms other comparison methods in all

HEPA-filter

,Comparative Analysis of Machine Learning Models for Customer Segmentation,analyzing patterns in the available customer data. Our comparison shows that Agglomerative Clustering has the highest silhouette score of 0.6865 in performing behavioral-based customer segmentation in comparison to. The comparative analysis on feature based customer segmentation explored in this pap

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Synthesis of a DQN-Based Controller for Improving Performance of Rotor System with Tribotronic Magnc parameters using the Multi-Objective Genetic Algorithm. The linearized dynamic bearing model takes into account the variability of the rotational speed and the control electromagnetic field. The learning process of the DQN agent was carried out with the establishment of a threshold on the vibratio

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