Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings

antecedence

Instrumente der Strategietransformation, as per our chosen country and type of cases like total cases, total deaths etc. Such systems are already available, but the efficiency of the available mask detection systems was not achieved thoroughly. This newly developed system proposes to take a step further, which recognizes more than one per

STENT

https://doi.org/10.1007/978-3-658-42394-0n platform was used to simulate and train the different ML algorithms on the available dataset. In the present case study, Logistic Regression delivered the best theft-detection accuracy of 100%, followed by Decision Tree, SVM and ANN each offering 96% recognition accuracy on the test data.

cavity

過(guò)濾

反抗者

ELATE

,Low-Computation IoT System Framework for?Face Recognition Using Deep Learning Algorithm,ed layers on the collected facial embeddings of FACENET. The proposed Haar-Cascade FACENET Fully Connected Face Authentication (HFFCFA) model eliminates the faults which occur in the Euclidean-based approach, thus reducing false positive and false negative cases. The network model works perfectly to