Titlebook: Advances in Data-Driven Computing and Intelligent Systems; Selected Papers from Swagatam Das,Snehanshu Saha,Jagdish C. Bansal Conference pr

DRILL

https://doi.org/10.1007/978-3-476-05331-2he ground hitting photons from that of building hitting photons and taking the difference between their elevations. The estimated building heights from the proposed noise filtering approach agree well with that of the field measurements for buildings in parts of Jaipur city with mean accuracy of 11?cm.

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敬禮

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Cohomological dimension of fields,ecognition. We compare various machine learning algorithms such as Support Vector Machine, k-Nearest Neighbor and Multilayer Perceptron to evaluate their performance for face recognition tasks. Experimental results show that the presented work can be effectively used for domestic surveillance devices, one that is cheap and effective.

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2367-3370 oa, India.Serves as a reference for researchers and practitiThis book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during S

RENAL

Markus May,Peter Go?ens,Jürgen Lehmann collecting a large number of architectural plans in Vietnam, we have proposed a method of semi-automatic data labeling using CNN deep learning network. As the result, we achieved the overall accuracy over 85% for prediction room type and room location on the test dataset.

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Conference proceedings 2024ent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field

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Conference proceedings 2024work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.

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