… multichannel CNN was used to perform sentimental analysis … To achieve this, we used Google
translate API to translate all … SVM is a robust model that sets boundaries between classes …

… A comparative study on the performance of SVM and CNN in Tanzania sign language
translation using image recognition. Applied Artificial Intelligence, 36(1), p.2005297.Taylor & …

… The framework only uses a hybrid convolutional neural network (CNN) for feature extraction.
It performs remarkably better than algorithms like RF, SVM, and CNN + SVM. The findings …

… in Tanzania Sign Language Translation Using Image Recognition, Applied Artificial … A
comprehensive study on sign languages recognition systems using (SVM, KNN, CNN and ANN), …

… , the United States, and Tanzania will account for more than … Support Vector Machine: To
make the categorization, SVM … CNN provides translation equivariance, meaning that shifting …

… The parameter can be found using techniques like support vector machine (SVM), Random
… preprocessing to the parameter optimization of CNN using PSO. The algorithm created for …

… between CNN from SVM is that CNN is more accurate than SVM based on a comparative
study … in Tanzania Sign Language Translation Using Image Recognition, Applied Artificial …

… Study area The study area was conducted in Morogoro, Tanzania (East Africa), which covered
… In this study, we proposed transfer learning based on the CNN approach to classifying the …

… Aim: The proposed work aims to classify the soil data using the support vector machine …
2021) in the work proposed for detecting sign language. CNN had higher accuracy than SVM. …

… texture datasets, where support vector machine (SVM) shows an … Second, we evaluate the
performance of all five CNN … Next, we perform a comparative analysis of all five ML models on …