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Titlebook: Computing, Internet of Things and Data Analytics; Selected papers from Fausto Pedro García Márquez,Akhtar Jamil,Alaa Ali Conference procee

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發(fā)表于 2025-3-23 12:26:02 | 只看該作者
,Going Beyond Traditional Methods: Using LSTM Networks to?Predict Rainfall in?Kerala,nic change is significantly evident in places like Kerala and Tamil Nadu. Kerala receives perennial rainfall throughout the year, influenced by southeast and northwest monsoon rainfall cycles, resulting in flood-induced calamities like landslides prevailing in the Thrissur and Munnar regions of Kera
12#
發(fā)表于 2025-3-23 15:31:14 | 只看該作者
13#
發(fā)表于 2025-3-23 18:11:27 | 只看該作者
,Parkinson’s Disease Assessment from?Speech Data Using Recurrence Plot,any other conditions, afflict 1 in 6 individuals worldwide. One such disorder that gradually destroys nerve cells in the midbrain is Parkinson’s disease. It is a neurodegenerative condition that impairs motor abilities. Additionally, it has an impact on the muscles involved in speech production, lea
14#
發(fā)表于 2025-3-24 01:28:59 | 只看該作者
15#
發(fā)表于 2025-3-24 04:40:08 | 只看該作者
,An Improved Data Classification in?Edge Cloud-Assisted IoMT: Leveraging Machine Learning and?Featurs challenges in terms of latency, bandwidth, and privacy. Edge computing has emerged as a promising paradigm to address these challenges. For this purpose, the proposed approach explores the benefits of performing Feature Selection methods, including filters, wrappers, and embedded techniques, along
16#
發(fā)表于 2025-3-24 08:04:46 | 只看該作者
17#
發(fā)表于 2025-3-24 10:45:53 | 只看該作者
18#
發(fā)表于 2025-3-24 16:04:25 | 只看該作者
NBS: An NFT-Based Blockchain Steganography Method, traditional physical steganography techniques have been replaced by digital steganography. After the success of the Bitcoin payment system, the potential of blockchain technology, which is the creative technology behind Bitcoin, has been better understood, and it has started to be tried in the fiel
19#
發(fā)表于 2025-3-24 22:31:52 | 只看該作者
20#
發(fā)表于 2025-3-25 01:11:32 | 只看該作者
https://doi.org/10.1007/978-3-031-53717-2Artificial Intelligence; Data Science; Software Engineering; Machine Learning; Natural Language Processi
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