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Titlebook: Advances in Intelligent Computing Techniques and Applications; Intelligent Systems, Faisal Saeed,Fathey Mohammed,Yousef Fazea Conference pr

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31#
發(fā)表于 2025-3-27 00:05:59 | 只看該作者
32#
發(fā)表于 2025-3-27 04:02:18 | 只看該作者
33#
發(fā)表于 2025-3-27 07:03:50 | 只看該作者
Review of 3D Reconstruction on Mobile Devices Based on Evaluation Methods,ing. The strengths and limitations of each selected papers were also discussed. The issues identified that can be tackled include extracting feature points on shiny and reflective surfaces, tracking drift, updating dynamic objects, and improving computational efficiency for large scale scenes and objects.
34#
發(fā)表于 2025-3-27 11:05:22 | 只看該作者
The Patented Technology Innovation Portfolio on 4D Printer Using Theory of Inventive Problem Solvinectual property landscape, this scholarly article illuminates the path of development of the technology above?and its potential to bring about transformative changes in various?industries, including manufacturing and healthcare. Examining patented concepts, this study sheds?light on the development, status, and prospects of 4D printing.
35#
發(fā)表于 2025-3-27 14:54:55 | 只看該作者
2367-4512 nce of Reliable Information and Communication Technology IRI.This book presents the papers included in the proceedings of the 7th International Conference of Reliable Information and Communication Technology 2023 (IRICT 2023) that was held in Pulai Springs Resorts, Johor, Malaysia on 27-28, December
36#
發(fā)表于 2025-3-27 18:17:21 | 只看該作者
,Umlaufende R?der und Scheiben,m optimizer, known as the FGML(0,N) model, for forecasting CO2 emissions. The proposed FGML(0,N) prediction accuracy was validated using a real-world CO2 emission case. Experimental results showed that the proposed FGM(0,N) performed well compared to the multivariable regression model (MLR) and the support vector regression (SVR) models.
37#
發(fā)表于 2025-3-28 01:49:23 | 只看該作者
Health information quality assessment using artificial intelligence: Quality dimensions from healthiversally applicable guidelines for machine learning and deep learning practitioners to use when evaluating health information. This study seeks to address the gap by empirically identifying a set of tangible guidelines for assessing health information. Drawing from existing literature, we identifie
38#
發(fā)表于 2025-3-28 06:09:22 | 只看該作者
Leveraging ICT Technologies in the Battle Against COVID-19: A Review for Applications, Challenges, merous groundbreaking technologies, such as telemedicine, contact tracing apps, and online learning platforms, have been swiftly developed and adopted. These technological advancements have not only assisted in mitigating the spread of the virus but have also allowed us to maintain some semblance of
39#
發(fā)表于 2025-3-28 06:56:29 | 只看該作者
40#
發(fā)表于 2025-3-28 11:40:55 | 只看該作者
Multi-modal MRI-Based Classification of Brain Tumors. A Comprehensive Analysis of 17 Distinct Classatient care. In this study, we present a comprehensive analysis of brain tumor classification using a multi-modal MRI dataset comprising 17 distinct tumor classes. The dataset is split into training (60%), validation (20%), and testing (20%) sets, ensuring a robust evaluation of our proposed approac
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