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Titlebook: Applied Intelligence and Informatics; Second International Mufti Mahmud,Cosimo Ieracitano,Francesco Carlo Mor Conference proceedings 2022 T

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期刊全称Applied Intelligence and Informatics
期刊简称Second International
影响因子2023Mufti Mahmud,Cosimo Ieracitano,Francesco Carlo Mor
视频video
学科分类Communications in Computer and Information Science
图书封面Titlebook: Applied Intelligence and Informatics; Second International Mufti Mahmud,Cosimo Ieracitano,Francesco Carlo Mor Conference proceedings 2022 T
影响因子This book constitutes the refereed proceedings of the Second International Conference on Applied Intelligence and Informatics, AII 2022, held in Reggio Calabria, Italy, during September 1–3, 2022. .The 38 full papers included in this book were carefully reviewed and selected from 108 submissions. They were organized in topical sections as follows: ​Emerging Applications of AI and Informatics;  Application of AI and Informatics in Healthcare; Application of AI and Informatics in Pattern Recognition; and Application of AI and Informatics in Network, Security, and Analytics. .
Pindex Conference proceedings 2022
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An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Condition of a virtual irradiance sensing methodology and a neural network forecasting system. The strength of this approach resides in its capability to support forecasting in presence of distributed shading patterns along the PV plant, without the necessity of external pyranometers or a complex data acqui
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Tackling the Linear Sum Assignment Problem with Graph Neural Networksunications. In general, solving assignment problems to optimality is computationally infeasible even for contexts of small dimensionality, and so heuristic algorithms are often employed to find near-optimal solutions. The handcrafting of a heuristic usually requires expert-knowledge to exploit the p
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A Nonparametric Model for Forecasting Life Expectancy at Birth Using Gaussian Processs a practical and powerful approach. To plan for economic services for any nation, projections of future Life Expectancy (LE) are required. In our research, we have proposed a model to forecast LE using GPR up to 2040. Initially, we sub-categorized countries into four sections based on income level.
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Explainable Deep Learning for Alzheimer Disease Classification and Localisationlities. The accurate diagnosis of Alzheimer’s disease at an early stage is very crucial for patient care and conducting future treatment. Deep learning can help to reach the diagnosis: for this reason we propose a method aimed to distinguish and properly classify four Alzheimer disease’s stages. Two
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ML-Based Radiomics Analysis for Breast Cancer Classification in DCE-MRIor breast lesions characterization is widely used in the clinical practice, physician grading performance is still not optimal, showing a specificity of about 72%. In this work Radiomics was used to analyze a dataset acquired with two different protocols in order to train Machine-Learning algorithms
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