Titlebook: Intelligent Data Engineering and Analytics; Proceedings of the 9 Suresh Chandra Satapathy,Peter Peer,Anumoy Ghosh Conference proceedings 20

使出神

CRUE

Fuzziness on Interconnection Networks Under Ratio Labelling,ks for the admissibility fuzziness is the notion of the paper. The binary tree, star graph do not admit fuzziness under ratio labelling. Classification of these interconnection networks as Cayley graph leads to a conclusion that not all Cayley graphs are fuzzy graphs under ratio labelling.

无关紧要

CHANT

Deep Learning for Real-Time Diagnosis of Pest and Diseases on Crops, The major problem faced by farmers during the crop production is the pest and disease attack. Lack of right technical advice at right time leads to improper farm decision leading to economic losses. It is necessary to provide an interface to farmers to identify the pest and disease problem faced du

使显得不重要

,Grapheme to Phoneme Conversion for Malayalam Speech Using Encoder-Decoder Architecture,l. The performance of the deep learning models used for G2P conversion was measured using the Word Error Rate (WER) and Phoneme Error Rate (PER). With 1024 embedding dimensions, the encoder using the BiLSTM model had the maximum accuracy of 98.04% and the lowest PER of 2.57% at the phoneme level, an

喧闹

Image GPT with Super Resolution,e. The output image of low resolution is upscaled to high-resolution space employing a single filter and bicubic interpolation. We have also considered peak signal-to-noise ratio (PSNR) score and structural similarity (SSIM) value to analyze the standard of the image produced by the algorithm. The p

Minutes

Boosting Accuracy of Machine Learning Classifiers for Heart Disease Forecasting,pre-processing technique to get a minimum number of attributes rather than using all attributes in the dataset which has impact on the accuracy of classifiers. After that pre-processed data is trained by using various classifiers like linear regression, SVM, naïve Bayes, and decision tree, and then

insipid

Wordlist

CoviNet: Role of Convolution Neural Networks (CNN) for an Efficient Diagnosis of COVID-19, a web application which basically accepts a patient CT-scan to classify COVID positive or negative. After that, the negative class patients with symptoms are suggested with a danger rate with the help of age groups, health-related issues, and the area he/she belongs to. Three machine learning algor

Gerontology

,Sentiment Analysis on Telugu–English Code-Mixed Data,