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Titlebook: International Conference on Applied Technologies; 5th International Co Miguel Botto-Tobar,Marcelo Zambrano Vizuete,Benjam Conference procee

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樓主: Ingrown-Toenail
51#
發(fā)表于 2025-3-30 08:32:37 | 只看該作者
Otsu Segmentation and Deep Learning Models for the Detection of Melanomaprediction models. Furthermore, a system that is more adaptable and sensitive to changes in training datasets is urgently required. As a result of this, hybrid architecture for service delivery that integrates both clinical and dermoscopic images has been suggested. This approach may be used in a va
52#
發(fā)表于 2025-3-30 15:06:17 | 只看該作者
53#
發(fā)表于 2025-3-30 18:25:58 | 只看該作者
Generic Framework of New Era Artificial Intelligence and Its Applicationss to be long-term and successful. The goal of this research is to critically evaluate many studies that have used AI in various areas to create a theoretical framework guide for academics and practitioners. This framework will also help to define future research trends in the field. Additional eleme
54#
發(fā)表于 2025-3-30 22:31:03 | 只看該作者
Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Cntial and challenges of applying nanomedicine and nanotechnology for identifying, evaluating, and treating infectious disease. This article extensively discusses practically every SARS-CoV-2-associated issue to help readers comprehend the most recent developments. We have used ViroGen algorithm for
55#
發(fā)表于 2025-3-31 02:15:08 | 只看該作者
56#
發(fā)表于 2025-3-31 07:05:45 | 只看該作者
57#
發(fā)表于 2025-3-31 10:45:13 | 只看該作者
Prediction of?Academic Outcomes Using Machine Learning Techniques: A Survey of?Findings on?Higher Edd preprocessing procedures, and the importance of considering ethical implications related to the use of student data. The findings have important implications for educators, managers, and researchers interested in using machine learning techniques to promote student success.
58#
發(fā)表于 2025-3-31 16:32:14 | 只看該作者
Predictive Model for Accurate Horticultural Product Pricing Using Machine Learninghe potential to mitigate the risk of economic losses by offering greater accuracy in predicting future market prices. Through the development of our project, we have achieved a high level of accuracy in forecasting future prices, reaching a minimum of 90% when compared to actual prices.
59#
發(fā)表于 2025-3-31 19:29:10 | 只看該作者
60#
發(fā)表于 2025-3-31 22:16:57 | 只看該作者
e, transparent, and effective regulations for CTs to enable faster accessibility of new drug molecules in the country. The New Drugs and Clinical Trials Rules 2019 is a step in that direction. This chapter attempts to give an overview of the regulatory developments in the context of changed scenario
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