Titlebook: Machine Intelligence Techniques for Data Analysis and Signal Processing; Proceedings of the 4 Dilip Singh Sisodia,Lalit Garg,M. Tanveer Con

平淡而无味

Effective Heart Disease Prediction Using Hybrid Ensemble Learning Model,of ML techniques that ultimately results in improving the accuracy and performance. The prediction model is done with a fusion of attributes (features) and many familiar classification models. We generate an embellished performance of the model with an accuracy of 88.88% through hybrid ensemble learning model.

intrude

A SAR ATR Using a New Convolutional Neural Network Framework,thors anticipated a new convolutional neural network (CNN) for SAR object classification based of despeckling. The experiment is performed on the MSTAR dataset. Experimental results of the current study showed that the proposed CNN model has resulted in an excellent training accuracy of 99.67 % and validation accuracy of 98.98%.

按等级

ColCompNeT: Deep Learning-Based Colorization-Based Coding Network,en proposed in which concept of parallel training of colorization and compression network is utilized. With the proposed algorithm, a maximum bit saving of 36.45% is achieved with the improved objective and subjective performance when compared with the state-of-the-art methods.

Enthralling

万花筒

,Texture Classification Using ResNet and EfficientNet,per are the ResNetV2 and the EfficientNet-B4 paper. The proposed models are trained and tested on the Kylberg data set, a widely used texture data set. The two models attained accuracies of 99.78% and 92.97%, respectively.

enlist

失眠症

d tritt erst nachträglich eine Korkhautbildung ein. Nur die durch äussere mechanische Ursachen veranlassten Wunden, durch welche innere lebende Gewebe blossgelegt und den nachtheiligen Einflüssen der Aussenwelt preisgegeben werden, gehören zu den pathologischen Erscheinungen.

使虚弱

Rahul Shrivastava,Dilip Singh Sisodia,Naresh Kumar Nagwanid tritt erst nachträglich eine Korkhautbildung ein. Nur die durch äussere mechanische Ursachen veranlassten Wunden, durch welche innere lebende Gewebe blossgelegt und den nachtheiligen Einflüssen der Aussenwelt preisgegeben werden, gehören zu den pathologischen Erscheinungen.

Ancestor

EXULT