Titlebook: Soft Computing for Problem Solving; Proceedings of the S Manoj Thakur,Samar Agnihotri,Atulya K. Nagar Conference proceedings 2023 The Edito

Vo2-Max

,Benchmarking State-of-the-Art Methodologies for Optic Disc Segmentation,detection. GAN approaches (pOSAL and CFEA) give the best performance, giving Dice Coefficient of 0.96 and 0.94. This is followed by specialized CNN architectures such as U-Net, M-Net and P-Net, giving Dice Coefficients between 0.93 and 0.86.

synovitis

Automated Student Emotion Analysis During Online Classes Using Convolutional Neural Network,dness, surprise, and neutral and utilizing them for better teaching and learning during a lecture in an e-learning platform. Convolutional neural networks (CNNs) have been used for detecting facial emotions of students in e-learning platforms, and the proposed model shows an outcome of test accuracy of 67.5%.

工作

A Fast and Efficient Methods for Eye Pre-processing and DR Level Detection,emove an uninformative area from the image and neural network architecture with 32 layers for DR detection and DR level classification. The proposed model is trained on 2929 images, and the training accuracy achieved was 98%; when validated on 733 test images, the accuracy of 96% was achieved.

Legion

,Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture,formance of training an LSTM architecture for extraction of DFA in the context of the imbalances for a set of so formed regular grammars. We were able to extract correct minimal DFA for various imbalanced classes of regular grammar, though in some cases, we could not extract minimal DFA from the Network.

Pander

CHASE

Exploring the Relationship Between Learning Rate, Batch Size, and Epochs in Deep Learning: An Expero be a function of batch size and epoch, thereby reducing the number of hyperparameters to be tuned. We later on introduce some randomness to the learning rate to see the effects on accuracy. It was found that the proposed strategy helped increase accuracy by more than 2% in certain cases, when compared to the existing methods.

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,Benchmarking State-of-the-Art Methodologies for Optic Disc Segmentation,the help of expert ophthalmologists which is not available everywhere. As a result, many attempts have been made to come up with fully automated and intelligent systems to address this issue. A very important component of this task is detecting the optic disc. This work aims to establish a clear and