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Titlebook: Data Science and Communication; Proceedings of ICTDs Jo?o Manuel R. S. Tavares,Joel J. P. C. Rodrigues, Conference proceedings 2024 The Edi

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41#
發(fā)表于 2025-3-28 16:48:26 | 只看該作者
42#
發(fā)表于 2025-3-28 21:21:08 | 只看該作者
The Treatment of Suicidal Behaviorre inside the chamber ever drops below the lowest or rises above the maximum set points. A controlled environment indicates a product‘s safety and optimal storage temperature. Temperature variations affect delicate products. Due to the nature of commodities, inappropriate temperatures demand close m
43#
發(fā)表于 2025-3-28 23:22:31 | 只看該作者
Comprehensive Handbook of Psychopathologyodies in the images. The performance of the proposed method has been evaluated in terms of specific parameters such as accuracy, precision, recall, specificity, and F1-score, and the proposed method shows better results than existing techniques. The proposed clustering-based SCDAE method achieves ov
44#
發(fā)表于 2025-3-29 03:17:23 | 只看該作者
45#
發(fā)表于 2025-3-29 09:07:52 | 只看該作者
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發(fā)表于 2025-3-29 15:15:36 | 只看該作者
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發(fā)表于 2025-3-29 16:43:36 | 只看該作者
A Comparative Study on Speech Emotion Recognition Using Machine Learning4 and 63% on the male and female samples, respectively. The fuzzy model improved from an accuracy of 38–47%, and Rotation Forest deteriorated from an accuracy of 66–53% on SAVEE to IEMOCAP dataset. A diagnostic user interface is designed to classify the human emotions using the trained models.
48#
發(fā)表于 2025-3-29 20:29:41 | 只看該作者
49#
發(fā)表于 2025-3-30 01:11:26 | 只看該作者
Application for?Simulating OWASP Vulnerabilitiesoring. The objective of the proposed platform is to provide an interactive and engaging learning experience for novice learners that is both practical and challenging. By utilizing a gamification approach, the platform aims to promote active learning and enhance user engagement. Furthermore, the pla
50#
發(fā)表于 2025-3-30 05:39:22 | 只看該作者
Automated Classification of Happy and Sad Emotional States from PPG Signal Using Time Domain Analysind sad based on a single feature calculated from a single lead PPG signal available in DEAP dataset. Classification is carried out using a binary classification rule and does not require any complex classifier. Results show the justification of the proposed feature and the validity of the approach.
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