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,nt of networked devices had increased its reach over the primitive network topologies. This significant change has launched the revolution after flat-page. The surge in the global urban population is placing new demands on people‘s daily lives in terms of pollution, public safety, road congestion, e

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Vibration Analysis of Fluid Structure Interface for Rectangular Plate,hole and perforate plate with 169 hole in air and contact of the water surface and immersed in water are presented using finite element method via ANSYS15 software. Acoustic model in three dimension domain is considered using APDL program to take the variables. The gotten comes about detailed the 6t

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IoT-Based Prediction of Chronic Kidney Disease Using Python and R Based on Machine and Deep Learninpanding through numerous fields, solving incredibly complex problems. DTCA is also being used in medical health data using computer-aided diagnosis to identify chronic kidney diseases like cancer and diabetes. Deep learning is a class of machine learning that utilizes neural networks to solve proble

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Evaluating Various Classifiers for Iraqi Dialectic Sentiment Analysis,ve or positive polarity. Over the years, a multitude of researchers studied Arabic sentiment analysis but most of them focused on standard Arabic language. However, the Arabic dialects should have much concentration by researchers. Therefore, the main focus of this research is the sentiment analysis

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A Systematic Review on Usability of mHealth Applications on Type 2 Diabetes Mellitus,t phones can solve primary health-related issues at a fingertip. However, the utility of those applications will increase if they meet user satisfaction and can solve the tasks effectively and efficiently. Thus, usability evaluation of mHealth applications is a matter of concern. Many usability eval

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Diabetes Mellitus Prediction Through Interactive Machine Learning Approaches,ederation (IDF), there are around 382 millions of people, who are affected by diabetes worldwide. This number will have increased to 592 million by 2035. Diabetes is a disease characterized by an increase in blood glucose levels. Elevated blood glucose is characterized by frequent urination, increas