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

Mangle

A Robust Multi-label Fruit Classification Based on Deep Convolution Neural Network,nt, we demonstrate that the accuracy is improved by the CNNs over the conventional SVM and other classification methods. The result of the proposed method has good accuracy in the classification and it is close to 98% for the four classes of 1200 fruit images, indicating that the proposed method could be used in agro-based applications.

罐里有戒指

Classification of Speech and Song Using Co-occurrence-Based Approach,), Neural Network (NN), and k-Nearest Neighbor (k-NN) have been brought into play for the purpose of taxonomy of speech from song. Speech and song classification precision obtained in this work has been compared with that of some other previous works done to reveal effectiveness of the advised feature set.

DRILL

GORGE

A Machine Learning Approach to Comment Toxicity Classification,ose. A 6-headed Machine Learning tf–idf Model has been made and trained separately, yielding a Mean Validation Accuracy of 98.08% and Absolute Validation Accuracy of 91.64%. Such an Automated System should be deployed for enhancing the healthy online conversation.

QUAIL

收到

Face Identification via Strategic Combination of Local Features,which are used to characterize a probe user with rank identity. The produced ranks are then fused together using rank level fusion techniques. The experimental results determined on the Extended Yale face B database and the Plastic Surgery database are encouraging and convincing.

CREST

异教徒

Current Problems of Iron Overload,ot involve any complicated calculation to insert the secret message and (2) only Adder-Element is required to retrieve the hidden message. We have observed that the developed technique accomplishes high data hiding capacity while keep image quality better than other existing schemes.

和音

Strategies in Clinical Hematologyion is verified by taking a (4 × 4) sized test image and can be applicable for the larger size of cover images. The outcome of the results shows that the MATLAB-Simulink and Xilinx System Generator can be combined all the way through the graphical user interface by proposed structural design for image processing applications.

摸索