The word2vec model consists of more useful applications in different NLP tasks. The
semantic meaning given by word2vec for each word in vector representations has served …

With the continued expansion of India's market economy, competition among firms is heating
up. To effectively navigate this severe market rivalry, corporate managers are increasingly …

Diabetic Retinopathy (DR) is a very ordinary problem among diabetic patients, which in turn
results in the constructive loss of vision in those patients. If this abnormality is not detected in …

The scientific fields' deals with day to day problems, like economic planning and
engineering design, mostly are disconnected, high dimensional, multimodal and oscillated …

Among many type of cancers in human body especially for woman in this modern world, the
breast cancer is a key problem for their physical fitness. The early diagnosing of cancer for …

This article deliberates a mathematical model for the estimation of speech signals probability
density function. Speech recognition is analyzed using an integration of Boltzmann …

Surveillance, object tracking, and autonomous vehicles rely on background dynamic scene
detection and analysis. This paper compares the Naive Bayes classifier and CNNs for …

Pepper leaf disease detection is one of the interesting challenges in the field of machine
learning. In this chapter, we propose a machine learning-based approach to extract texture …

Communication becomes effectual while the verbal communication signal reaches the
destination with profound characteristics. An application based on human voice attracts the …

For a backward Markova particle filter, the estimation of noise sequences and a strategy for
modelling of speech probability distribution function using Taylor hybrid Dirichlet Process …