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Titlebook: Innovative Computing and Communications; Proceedings of ICICC Aboul Ella Hassanien,Sameer Anand,Prabhat Kumar Conference proceedings 2025 T

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Quantum-Enhanced Cyber Security Framework for E-Commerce Platforms,antum-Resilient Cyber Trust Verification Protocol, and a Distributed Quantum Ledger for Cyber Secure E-commerce. Simulations validate that the proposed approach significantly outperforms traditional security methods in key generation rate and error reduction, demonstrating its efficacy in a quantum-threatened cyber domain.
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A Survey on Predictive Modelling for Diverse Climate Condition and Heavy Rainfall,of the fact that traditional meteorological models frequently fall short in capturing complicated weather-related processes. In this study, a survey and analysis of the various architectures and ML models, together with their accuracy and performance outcomes, are discussed.
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2367-3370 s in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications..978-981-97-4151-9978-981-97-4152-6Series ISSN 2367-3370 Series E-ISSN 2367-3389
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Smart Solutions for Waste Water Overflow: A GIS Case Study in Karbala, Iraq,. The city center of Karbala—Iraq—was taken as a case study because this city is visited by many visitors during the religious visit period. Various experimental operations of the model have shown that it allows real monitoring, helps in treating sewage overflows, and reduces the resulting environmental pollution.
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Ontological-Based GIS Approach for Assessment of Soil Pollutants,tem (GIS) and ontology helps decision-making officials to develop policies and strategies to reduce environmental pollution in the areas surrounding these factories to protect environmental elements such as soil, air, and water in the nearby areas.
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Forecasting Bitcoin Price in Indian Rupees Using Machine Learning Techniques,t the future value of Bitcoin cryptocurrency in Indian Rupees (INR), with machine learning using Python. The dataset of approximately past 768 days from current date is trained to predict the INR value of Bitcoin for next 10 days.
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