Deepa Parasar

• AMITY UNIVERSITY, MUMBAI

Stock market prediction is a vital task with high attention for gaining attractive profits with proper decisions to invest. Predicting the stock market is becoming a major challenge nowadays due to chaotic data, non-stationary data, and blaring data. Hence, it’s challenging for investors to invest money to make profits. Many techniques are develope...

In the world, tomato is a significant economic crop. However, it is easily affected by various diseases. Misprediction of disease is caused since many prevailing methodologies focused on the tomato plant’s specific portion. Thus, by employing deep learning (DL) multivariate normal DL neural network (MNDLNN) classifier, the study has proposed a fram...

Prediction using ML models is not well adapted in many portions of business decision-making due to a lack of clarity and flexibility. In order to provide a positive risk-adjusted price for stocks by evaluating historical transaction data and retaining more accuracy with a reduced error rate, the suggested framework aims to use deep learning method....

Stock market is a significant element of economic market. Accurate forecasting of stock market is very helpful to shareholders because future prediction of a stock value will elevate the profits of investors. The data acquired from the stock market is a time-series data, in which the values of the stock prices are inherently varied with respect to...

Music plays an indispensable role in human life. Each individual has preferred genres of music. These preferences are highly dependent on the mood of a person, which in turn is affected by numerous factors and situations happening with or around them all day. This paper demonstrates the deep learning models for the detection of human emotions, base...

Coronavirus disease (COVID-19) is a new virus disease caused by inflammation. The disease causes respiratory distress (such as influenza) with manifestations such as cold, cough and fever, and the problem of breathing in progressively severe cases. This chapter is dedicated to the use of machine learning techniques for prediction of safe zone durin...

Malicious URLs play a very important role in today’s critical scam and attacks. They are harmful to every aspect of the usage of computers. Identification and detection of these malicious URL are very crucial. Malignant codes are synchronized with malicious software by invaders or hackers. Malicious content can be like Trojan horses, worms, backdoo...

Nowadays, maintaining customer loyalty and attention span of the customers are major challenges faced by the retail industry. The availability of varied options in the market for similar purposes increases the competition between organizations, to market their product, tremendously. This leads to the need for reinforcement of marketing strategies f...

As plants are main parts of environment, there are variety of trees in this environment, and it is unable to recognize different kinds of plant leaf. Thus, this paper studies about plant leaf detection using CNN method. This method will help us to classify leaf, which would indirectly help us to classify different kinds of plants. Combination of de...

The purpose of medical image segmentation is to extract information such as volume, shape, motion of organs for detecting abnormalities from the medical image for improvement and fast diagnosis. In this paper, a segmentation algorithm has been implemented for foetus ultrasound image by particle swarm optimisation (PSO) K-means clustering algorithm...