A novel approach to improve accuracy in stock price prediction using gradient boosting machines algorithm compared with Random Forest algorithm

PV Reddy, SM Kumar - AIP Conference Proceedings, 2023 - pubs.aip.org
The work's goal is to use Gradient Boosting Machines Algorithm to more accurately
anticipate stock prices regarding the stock values when compared to the Random Forest …

Algorithm Based on Morphological Operators for Shortness Path Planning

JL Perez-Ramos, S Ramirez-Rosales… - Algorithms, 2024 - mdpi.com
The problem of finding the best path trajectory in a graph is highly complex due to its
combinatorial nature, making it difficult to solve. Standard search algorithms focus on …

Crop predicting system using supervised machine learning approach based on region and season

S Rajendran, K Karthik, R Rajavarman… - AIP Conference …, 2023 - pubs.aip.org
Agriculture is one of the leading fields in the world and that is the pillar of an India. In that
traditional method with or without non-scientific methods of those farmers can be delegated …

A framework for protected digitized registry generation using novel finger vein problem

TS Kishore, SM Kumar - AIP Conference Proceedings, 2024 - pubs.aip.org
In this study, we compare Novel Finger Vein Recognition Method to Message Digest 5
(MD5) to determine which algorithm provides better accuracy for creating a secure digital …

Preprocessing technique using face recognition in voting

M Pavithra, V Banupriya, R Abirami… - AIP Conference …, 2023 - pubs.aip.org
System of voting's have come a long way progressed f. rom hand-counting to include Paper,
punch cards, mechanical levers, and optical-scan machines are all examples of mechanical …

Prediction of combustion, performance and emission of 1-decanol in CRDi diesel engine under influence of WLDPE/diesel which is compared using statistical method

P Sudharsun, MV Depoures - AIP Conference Proceedings, 2023 - pubs.aip.org
The purpose of this study is to identify the fuel that will provide the best combustion,
performance, and emission characteristics for WLDPE Diesel. The Components and the …

Comparative study on improved support vector machine and random forest classifier for efficient classification of music genre based on accuracy

K Rajyalakshmi, M Gunasekaran - AIP Conference Proceedings, 2024 - pubs.aip.org
The purpose of this study is to apply machine learning methods to the problem of classifying
musical genres. Here, signal processing is used to extract the rhythm pattern feature, which …

Loan evaluation model to predict the default probability of borrower using decision tree and logistic regression

T Kalyani, R Dhanalakshmi - AIP Conference Proceedings, 2023 - pubs.aip.org
This is the best case scenario since no energy is lost due to reflection from the antenna.
Figure 3 displays the VSWR value for the proposed antenna under stimulation from ports 1 …

Identification of vulnerability analysis using convolutional neural networks and compare prediction accuracy over support vector machine

KL Kumar, K Thinakaran - AIP Conference Proceedings, 2023 - pubs.aip.org
The main motto of the study is to detect hatred speech by using CNN and SVM algorithms to
detect hatred speech and comparing their accuracy. Detects hatred speech using Machine …

Innovative measurement of blood glucose level from electrical properties of saliva using empirical wavelet transform compared with invasive measurement

MA Valli, SK Kumari - AIP Conference Proceedings, 2024 - pubs.aip.org
The purpose of this article is to evaluate the feasibility of noninvasively measuring blood
glucose levels with a salivary Empirical wavelet transform (EWT) and comparing the results …