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The document presents a new Turkish sign language dataset called ERUSLR, created for effective communication in hospital emergency departments, containing 13,186 samples of 25 essential words. A classification model based on a GoogLeNet-supported convolutional neural network (CNN) was developed, utilizing global and heuristic search methods for hyperparameter optimization, achieving an accuracy rate of 93.93% with a genetic algorithm. The study emphasizes the importance of transfer learning and parameter op

Author

ufukta3456

Language

EN