Titlebook: 6th International Conference on Signal Processing and Information Communications; ICSPIC 2023 Chua-Chin Wang,Arumugam Nallanathan Conferenc

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Koordination, Budgetierung und Anreizesorted before the model is created. The evaluation of the model was carried out using test images and also videos taken on the Niague road, more precisely in the suburbs of the Senegalese capital, with accuracy rates of 94, 32%, 98.85 and 99.96%, respectively, for cows, goats and donkeys.

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Pr?dation, Beweidung und Krankheitenile making an assessment, the criteria weights are not subjective, and they take evaluation-specific values. Within the scope of smart cities, IoT criteria are ranked according to intuitionistic fuzzy decisions of the experts. With the case of IoT-based smart cities, the application area of the nove

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Der evolution?re Hintergrund der ?kologiecent (64%). Thus, Naive Bayes can predict more accurately than the other classification algorithms. The result shows that the predictive model could be an effective tool for identifying different online platforms that are used in trafficking. Once the model is integrated into an application, this wi

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Automatic Recognition of Wild Animals for Road Accident Prevention Using Deep Learning with Yolov4,978-0-230-24829-8

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IoT Feature Assessment for Smart Cities via Intuitionistic Fuzzy Selected Element Reduction Approac978-3-658-12167-9

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