Titlebook: Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability; AI for IoT and Healt Alireza Souri,Salaheddine Bendak

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Benign and Malignant Cancer Prediction Using Deep Learning and Generating Pathologist Diagnostic Relysis, enabling the classification of benign and malignant cancer. The ultimate objective of this research is to equip pathologists to provide prompt and accurate reports, thereby facilitating informed treatment decisions and reducing cancer morbidity and mortality. The model produced demonstrates s

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An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Gpathy phases. Notably, conducted a thorough analysis of a hybrid model that integrates Convolutional Neural Network (CNN) analysis with SHapley Additive exPlanations (SHAP) model derivation. Our findings underscore the suitability of hybrid modeling strategies for detecting anomalies in blood vessel

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IoT Networks and Online Image Processing in IMU-Based Gait Analysis,tual application and experiment results for a patient are compared with the medical gold standard results of the same patient and the results produced by the sensor-camera integration at various rates are shown in this paper. Experiment results show that the developed gait analysis system provides c

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Faith and Doubt in Victorian Britainely to interact before starting these scientific investigations will provide great savings in terms of time, labor and cost. In this study, it is aimed to identify the best machine learning algorithm to detect not only unknown drug-drug interactions but also to assign type and severity of the predic

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The FUCI 1943–45: The Path to Post-Fascisms. As a result, there has to be a trustworthy system for collecting and disseminating data sent online by trillions of sensors to trillions of actuators. Only a few healthcare scenarios necessitate the transmission of data in real time; in most cases, monitoring relies on the average of sensor readi

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A Path to Modernity: The Fuci in the 1930ssting, and speech recognition are just some of the commercial uses of AI, it has already made a big impact. As pattern recognition algorithms, classifiers need well designed feature extractors since the performance, overall, depends on the quality of training. This study demonstrates the classificat

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