Titlebook: Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions; Sarvesh Pandey,Udai Shanker,Rajinikumar Ramalingam Book

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Data Detection in Wireless Sensor Network Based on Convex Hull and Na?ve Bayes Algorithmclassification model for bug prediction by involving Adaptive Ensemble Learning with Hyper Optimization (AEL-HO) technique. Classifier performance is analyzed based on the F1-score, detection accuracy (DA), Matthew’s correlation coefficients (MCC), and true positive rate (TPR) parameters. Comparison

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n-Layer Platform for Hi-Tech Worlde provides unique identification to citizen of a country that is owner of an agent. The value of n may vary from 2 to 10. India is considered as a case study, and in this platform, n is considered as 7 plus 1. This system will support all kind of applications related to human beings.

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Source Camera Identification Using Hybrid Feature Set and Machine Learning Classifierstial features by performing data augmentation to increase the diversity of images in the dataset and extracting a sufficient amount of feature vectors. These features are extracted from images by applying discrete wavelet transform techniques (DWT) and local binary pattern (LBP). Further, these are

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Medical Image Processing by Swarm-Based Methodsolution. Current technology makes it possible to obtain medical images in different formats. This enables large sets of high-quality images to be generated. The analysis of these images requires working with a large amount of information, so the applied method must be able to efficiently manage this

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MRI Image Analysis for Brain Tumor Detection Using Deep Learningalyze the evaluation performance using various metrics such as accuracy, loss, and f1 score. The proposed work recorded 100, 90, and 88.23% accuracy for training, validation, and test sets, respectively. The f1 score for the test set is estimated at 87.78% with a 0.50 logloss score.

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Pavan Kumar Pandey,Vineet Kansal,Abhishek Swaroopwei zentrale Le- stellen der ersten Au? age geschlossen. Wir hoffen, dass das Handbuch dadurch nochgeha- voller geworden ist. Wir danken den alten und neuen Autorinnen und Autoren, für die konstruktive Zusamm- arbeit bei der zweiten Au? age des Handbuchs. Wir haben immer noch Edmund Budrich dafür zu

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Nikhil Sharma,Shakti Singh,Shivansh Tyagi,Siddhant Manchanda,Achal Kaushikxierung eines Punktes durch die Verwendung eines Netzwerkes von Dreiecken bezeichnet und der von . in die allgemeine Methodendiskussion überführt worden ist (vgl. .) — in der schulp?dagogischen Diskussion an Bedeutung. In der Folge des sogenannten Positivismusstreites in der Soziologie, der auch in

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ldung“ gewidmet war (vgl. .). Zwar war von der Anzahl der dabei mitwirkenden Autoren her der Umkreis der abgedeckten Felder nicht so umfassend wie bei den vorgenannten Ver?ffentlichungen, aber der Titel des Beihefts brachte den Anspruch grundlegender Orientierung deutlich zum Ausdruck.