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Titlebook: Emerging Trends in Data Driven Computing and Communications; Proceedings of DDCIo Rajeev Mathur,C. P. Gupta,Neha Yadav Conference proceedin

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楼主: HBA1C
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Post-Stroke Readmission Prediction Model Using Machine Learning Algorithms,ased on that we will predict which algorithm is giving the best result. The algorithms used for predicting this model are Naive Bayes classifier (NBC), K-Nearest Neighbor algorithm (KNN), Support Vector Machine algorithm (SVM), Logistic Regression algorithm (LR), Random Forest algorithm (RF). The al
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Handwriting Recognition Using Deep Learning, an input. The major goal of this paper is to contribute to this topic, providing efficient and steady procedures for the identification of handwritten alpha-numerals. As we all know that everyone has a different form of writing digits and characters, humans will acknowledge simply except for the co
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A Review Paper on Sign Language Recognition Using Machine Learning Techniques, can be partitioned into two classifications: static and dynamic. Static signs are a hand setup and a particular shape, addressed by a single image. The dynamic sign is a moving action, represented by a sequence of images. Accordingly, the requirement for an intelligent computer-based program is in
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A Literature Review on Machine Learning Techniques and Strategies Applied to Stock Market Price Prelex patterns in a number of applications are studied. The review works are investigated utilizing certain dataset parameters, forecast technique used, and results achieved by various procedures. It can be observed that the stock market forecast is a very complicated activity. Various parameters shou
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Design and Analysis of Multi-band Fractal Antennas for Wireless Communications,st used in every small or big devices due to their smaller size, very light weight, low profile, and simple circuitry. These antennas consume less power so this property of microstrip antenna can be used in low power transmitting devices receiving applications. Due to these properties microstrip fra
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