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Titlebook: Data Science and Big Data Analytics; Proceedings of IDBA Durgesh Mishra,Xin She Yang,Dharm Singh Jat Conference proceedings 2024 The Edito

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11#
發(fā)表于 2025-3-23 13:34:53 | 只看該作者
Analysis on Prediction of Crop Diseases Using TensorFlow with Keras and OpenCV Technique of Deep Lee of disease. Deep learning techniques are used in the context of categorizing plant diseases. Dataset of diseased and healthy crops is used. Leaf images of diseased crop are infused as training set in a deep learning model. TensorFlow with keras and OpenCV are used for prediction of crop disease. O
12#
發(fā)表于 2025-3-23 16:01:26 | 只看該作者
13#
發(fā)表于 2025-3-23 19:40:05 | 只看該作者
Improving the Efficiency of Water Quality Prediction Using the SuperTML Approach in Machine Learninn used SuperTML (tabular machine learning) and CNN models to predict water potability efficiently. Data are collected and pre-processing is done using SMOTE analysis. It involves projection of features into two-dimensional embeddings that resemble images for every input of processed data, and the re
14#
發(fā)表于 2025-3-24 00:45:09 | 只看該作者
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發(fā)表于 2025-3-24 04:22:55 | 只看該作者
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發(fā)表于 2025-3-24 08:54:25 | 只看該作者
17#
發(fā)表于 2025-3-24 13:33:37 | 只看該作者
Artificial Intelligence in Nanotechnology,es can be processed using machine learning algorithms, making it possible to analyze nanoscale structures and properties more quickly and effectively. In this paper, the current state of AI in nanotechnology and its applications in various areas are reviewed. We also discuss the challenges and oppor
18#
發(fā)表于 2025-3-24 16:53:12 | 只看該作者
Durgesh Mishra,Xin She Yang,Dharm Singh JatPresents research works in the field of data science and big data analytics.Provides original works presented at IDBA 2023 held in Indore, India.Serves as a reference for researchers and practitioners
19#
發(fā)表于 2025-3-24 22:21:09 | 只看該作者
Data-Intensive Researchhttp://image.papertrans.cn/d/image/263084.jpg
20#
發(fā)表于 2025-3-25 00:27:03 | 只看該作者
https://doi.org/10.1007/978-981-99-9179-2Data Science; Big Data; Machine Learning; Analytics for Social Networks; Knowledge representation; Comput
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