Titlebook: International Conference on Innovative Computing and Communications; Proceedings of ICICC Aboul Ella Hassanien,Oscar Castillo,Ajay Jaiswal

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and exercises in using aids such as tables of log­ arithms and pocket calculators. Such a course is closer in spirit to 978-3-540-42253-2978-3-642-56325-6Series ISSN 0172-5939 Series E-ISSN 2191-6675

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,Joint Identification and Clustering Using Deep Learning Techniques, that monitor markers placed on anatomical landmarks are typically used to derive joint angles. The administrative cost, soft tissue artifacts, and intra- and inter-tester variability are disadvantages of this approach. Tracking rigid marker clusters attached to body parts and calibrated concerning

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Differential Analysis of MOOC Models for Increasing Retention and Evaluation of the Performance of on rates in MOOCs, there is still a need for an ideal model. To address this, researchers used structural equation modeling to identify previously unexplored factors that influence learner retention in MOOCs. The study revealed a new model that could enhance learner satisfaction and improve retentio

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Analysis of Network Failure Detection Using Machine Learning in 5G Core Networks, Internet is run cooperatively among the providers, an unexpected failure in a provider’s domain can rapidly spread all over the world, but only highly experienced operators can tackle these network failures. In order to address unexpected failures in the core network, machine learning plays an impo

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MVR Delay: Establishing Self-organizing Virtual Backhaul for Trusty, Reliable, and Timely Emergency real-time applications for safety and monitoring purpose. In this field of wireless communication, the ad-hoc network-based systems have gained huge attraction from research community due to their multiple advantages. Based on this assumption, vehicular-ad-hoc network is considered as promising res