Titlebook: Next Generation of Internet of Things; Proceedings of ICNGI Raghvendra Kumar,Prasant Kumar Pattnaik,João Manue Conference proceedings 2023

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A Comprehensive Survey for Internet of Things (IoT)-Based Smart City Architecture,roved with some technological aids. This creates a rapid demand for addition and works in terms of Big Data with first-class technologies that we have around us, so in this paper, we will talk about such things and show a comparison on this basis with the other works that are under it, with the deep

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An Effective Diagnostic Framework for COVID-19 Using an Integrated Approach,g, and breathlessness. Data shall be collected, stored, and analyzed for the above symptoms and for this cloud storage and blockchain technology would be used. It has been established through various studies that non-clinical techniques like AI and machine learning prove to be effective for the pred

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Diabetes Mellitus Prediction Through Interactive Machine Learning Approaches,ination of machine learning techniques. The objective of this study is to use four supervised machine learning algorithms to predict diabetes: Support Vector Machine, logistic regression, random forest and k-nearest neighbour. Each algorithm is used to calculate the model‘s accuracy. The model with

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,Development of Student’s Enrolment System Using Depth-first Search Algorithm,e results of student enrolment to the departments. The results showed that the electronic system (SES) included the acceptance of the highest rates in the scientific departments according to the student‘s desire and within the qualitative capacity of each department. The results showed that the best

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Rohit Sharma,Rajeev Arya changes in surface and groundwater quality during the drought periods within the pilot area. Finally, the results are summarized and interpreted, and rounded off with an outlook to future research.978-3-662-50960-9978-3-642-32244-0Series ISSN 2190-5053 Series E-ISSN 2190-5061

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