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Titlebook: Cyber Intelligence and Information Retrieval; Proceedings of CIIR Soumi Dutta,Abhishek Bhattacharya,Satyajit Chakrab Conference proceeding

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樓主: Debilitate
11#
發(fā)表于 2025-3-23 10:27:38 | 只看該作者
A Novel Framework for Facial Emotion Detection Using Deep Learning Algorithms for HCI-Enabled Systemeffective applications of deep learning in the field of facial emotion recognition in HCI-enabled systems. For researchers and practitioners who are looking to use the concept of deep learning methods to achieve facial emotion recognition in the context of HCI applications this succinct review is an invaluable resource.
12#
發(fā)表于 2025-3-23 16:01:25 | 只看該作者
Neural Network Participation to Enhance Hydrogen-Biofuel CI Engine Performance and Combat Emissionsd is promising to enhance engine performance and combat emissions. Additionally, the model was found to have a low MSE, indicating that it can make accurate predictions for engine running characteristics and fuel types.
13#
發(fā)表于 2025-3-23 21:51:44 | 只看該作者
A Machine Learning Approach to Cardiovascular Disease Prevention in Smart Healthcares in personalized medicine. Machine learning models can utilize patient-specific information to evaluate the likelihood of developing CVDs, enabling targeted interventions and customized treatment plans. Integrating patient preferences with clinical guidelines enhances decision-making processes that ultimately lead to enhanced patient?outcomes.
14#
發(fā)表于 2025-3-24 02:04:23 | 只看該作者
15#
發(fā)表于 2025-3-24 06:12:51 | 只看該作者
16#
發(fā)表于 2025-3-24 08:56:02 | 只看該作者
17#
發(fā)表于 2025-3-24 11:11:16 | 只看該作者
Skin Lesion Segmentation Using Deep Learningaluation. The approach uses the SegNet architecture, which achieves remarkable accuracy of 99.14%, surpassing benchmark standards (DC 96.94, JI 99.11).This research offers a promising solution for automated lesion segmentation in dermoscopic images, advancing the field of medical image analysis.
18#
發(fā)表于 2025-3-24 15:38:59 | 只看該作者
Amazon Sales Sentiment Prediction and Price Forecasting Using Facebook Prophethe time-series model is based on Facebook Prophet Library, an open-source library, to forecast the historical data of the brand‘s sales. Also, the SARIMA model is used for sentiment prediction to fetch desired results.
19#
發(fā)表于 2025-3-24 21:31:39 | 只看該作者
20#
發(fā)表于 2025-3-25 02:05:00 | 只看該作者
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