Titlebook: Proceedings of World Conference on Artificial Intelligence: Advances and Applications; WCAIAA 2024 Ashish Kumar Tripathi,Darpan Anand,Atuly

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書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications影響因子(影響力)




書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications影響因子(影響力)學科排名




書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications網(wǎng)絡(luò)公開度




書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications網(wǎng)絡(luò)公開度學科排名




書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications被引頻次




書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications被引頻次學科排名




書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications年度引用




書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications年度引用學科排名




書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications讀者反饋




書目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications讀者反饋學科排名

Thrombolysis

Financial Time Series Forecasting Using Hybrid Evolutionary Extreme Learning Machine,SE) and root mean squared error (RMSE). The experimental analysis proves the proposed model, FISA?+?ELM, produces lower MSE and RMSE values than the alternate model, CRO?+?ELM. Overall, we observe that FISA?+?ELM outperforms CRO?+?ELM.

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Designing an Intelligent Chatbot with Deep Learning: Leveraging FNN Algorithm for Conversational Agents to Improve the Chatbot Performance,lves epochs and batch size tuning, with model performance monitored through the TensorBoard and enhanced using callbacks, including ModelCheckpoint and EarlyStopping. The final model is saved and loaded for efficient utilization. The research extends to developing a user-friendly interface using Tkinter for seamless interaction with the chatbot.

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培養(yǎng)

A Novel Approach for Energy-Efficient Clustering Using NWOT-TCHE for Trust-Based Cluster Head Election in Wireless Sensor Networks,ata packets accelerated by SN, average cluster distance, communication delay, and SN density. The result shows that this proposed approach is superior to the existing energy-efficient clustering approaches.

濕潤

Unsupervised Video Summarization Using Deep Learning Approach with Deep Feature Semantics,ken directly from the original movie, and an unsupervised .-means clustering-based algorithm is applied to summarize the video. Our video summaries are evaluated against reference approaches and state-of-the-art models on two standard datasets.

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元音

A Novel Meta-analysis and Classification of Herbal Medicinal Plant Raw Materials for Food Consumption Prediction Using Hybrid Deep Learning Techniques Based on Augmented Reality in Computer Vision,nd in medicinal herbal plants have a significant role in food preparation. Because of their appearance, vital medicinal plants must be evaluated and examined before being consumed. Herbs may help prevent and control cardiac conditions, tumors, and mellitus. It may also help prevent blood clots and h