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Titlebook: Emerging Trends in Intelligent Computing and Informatics; Data Science, Intell Faisal Saeed,Fathey Mohammed,Nadhmi Gazem Conference proceed

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51#
發(fā)表于 2025-3-30 10:22:32 | 只看該作者
Mark A. Prendes,Bryan R. Costininguistic steganography, the features of a language are used to hide data. The more features we have in a language, the more capacity of hiding data we can get. The Arabic language is rich in its features, many of which are still not used in text steganography. For example, Arabic calligraphy includ
52#
發(fā)表于 2025-3-30 14:26:08 | 只看該作者
53#
發(fā)表于 2025-3-30 16:42:55 | 只看該作者
Surgical Anatomy of the Eyelid, Process Regression (GPR) and Empirical Wavelet Transform-Gaussian Process Regression (EWT-GPR) in forecasting drought using Standard Precipitation Index (SPI). Daily rainfall data from Gua Musang, Kelantan from 1975 to 2008 was used in this study. SPI data of 3, 6, 9, and 12 months were then calcul
54#
發(fā)表于 2025-3-31 00:46:54 | 只看該作者
Geoffrey J. Gladstone MD, FAACSected area. Result obtained from this activity is used to determine suitable control method to eradicate vector in the said area. This research study proposes a context-aware ontology that provides foundation of dengue surveillance system based on Ovitrap survey procedures exercised in Malaysia to a
55#
發(fā)表于 2025-3-31 04:31:50 | 只看該作者
56#
發(fā)表于 2025-3-31 08:45:00 | 只看該作者
57#
發(fā)表于 2025-3-31 11:36:38 | 只看該作者
https://doi.org/10.1007/978-3-030-33582-3Machine Learning; Deep Learning; Multi-Objective Optimization; Computational Intelligence; Neural Networ
58#
發(fā)表于 2025-3-31 14:18:55 | 只看該作者
978-3-030-33581-6Springer Nature Switzerland AG 2020
59#
發(fā)表于 2025-3-31 19:20:22 | 只看該作者
Emerging Trends in Intelligent Computing and Informatics978-3-030-33582-3Series ISSN 2194-5357 Series E-ISSN 2194-5365
60#
發(fā)表于 2025-4-1 01:00:23 | 只看該作者
Arabic Text Stemming Using Query Expansion Methoduses to improve information retrieval search performance for different languages. The Arabic language is one of these languages that utilize stemming to reduce various words to their stems for both the query and corpus documents. However, most of the approaches that were based on stemming do not pro
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