2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) 2021
DOI: 10.1109/icais50930.2021.9395980
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Text Recognition in Moving Vehicles using Deep learning Neural Networks

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Cited by 7 publications
(2 citation statements)
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“…Next, we apply the non-negative RESCAL factorization to the tensors X(fake) and X(real). As a result of the factorization, we end up with tables A fake ∈ Ru × r and A real ∈ Ru × r , respectively, through the following non-negative updates that result [ 39 , 43 , 44 ]: where, where, …”
Section: Methodsmentioning
confidence: 99%
“…Next, we apply the non-negative RESCAL factorization to the tensors X(fake) and X(real). As a result of the factorization, we end up with tables A fake ∈ Ru × r and A real ∈ Ru × r , respectively, through the following non-negative updates that result [ 39 , 43 , 44 ]: where, where, …”
Section: Methodsmentioning
confidence: 99%
“…It exhibits commendable accuracy even for vehicles in motion at speeds of up to 10 km/hour. The primary focus of this study revolves around the intricate domain of character recognition, which holds immense potential for further enhancement and exploration in the realm of data analytics [1].…”
Section: Related Workmentioning
confidence: 99%