Titlebook: Sustainable Advanced Computing; Select Proceedings o Sagaya Aurelia,Somashekhar S. Hiremath,Saroj Kr. B Conference proceedings 2022 The Edi

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Real-Time Traffic Sign Detection Under Foggy Conditionand the detection of traffic signs has become difficult. To solve this issue, the machine learning technique has been used. Convolution neural network helps to solve real-time problems; hence, it can be used in the study for detecting traffic signs under foggy condition. The study results revealed t

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Deep Learning Techniques to Improve Radio Resource Management in Vehicular Communication Networkr, the deep learning algorithms are highlighted which are used for RRM. Deep learning technique in RRM is basically used to train the model using various algorithms of resource management including network data. Various machine learning tools will be helpful to get best solutions for resource alloca

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High-Utility Pattern Mining Using ULB-Minerbase transactions. A major complexity with algorithms for high-utility itemset is very time-consuming although it returns a nontrivial large number of HUIs. Likewise, the database with high-quality itemsets conquers the huge market demand, especially in the research community. Therefore, it attracts

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1876-1100 gs and innovations of various researchers.Includes a compila.This volume presents select proceedings of the International Conference on Sustainable Advanced Computing (ICSAC – 2021). It covers the latest research on a wide range of topics spanning theory, systems, applications, and case studies in a

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