Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms

P Tumuluru, LR Burra, M Loukya… - … and Smart Energy …, 2022 - ieeexplore.ieee.org
In today's increasingly competitive market, estimating the risk involved in a loan application
is one of the most crucial challenges for banks' survival and profitability. The banks receive …

Hybrid CNN-LSTM Network for Cyberbullying Detection on Social Networks using Textual Contents

D Sultan, M Mendes, A Kassenkhan… - … Journal of Advanced …, 2023 - search.proquest.com
In the face of escalating cyberbullying and its associated online activities, devising effective
mechanisms for its detection remains a critical challenge. This study proposes an innovative …

APMWMM: Approach to Probe Malware on Windows Machine using Machine Learning

P Tumuluru, LR Burra, MVV Reddy… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
The popularity of Windows gadgets is growing as well and are more defenseless to malware
attacks. This venture proposes a modern imaging strategy to identify malware viably by …

Detection of COVID disease from CT scan images using CNN model

P Tumuluru, P Srinivas… - … and Smart Energy …, 2022 - ieeexplore.ieee.org
The world is affected by an existential global health crisis called the COVID-19 pandemic.
Countries like the United States, India and Russia are still having and gaining positive …

Dpmlt: Diabetes prediction using machine learning techniques

P Tumuluru, LR Burra, KK Sushanth… - … on Electronics and …, 2022 - ieeexplore.ieee.org
One of the most frequent chronic diseases is diabetes, which can afflict anyone, regardless
of age. When the glucose or sugar level is too high, several diseases attack. Diabetes …

Machine Learning Algorithms based Student Performance Prediction based on Previous Records

S Chandrahasa, SMS Ganeshan… - 2023 7th …, 2023 - ieeexplore.ieee.org
Predicting a student's grade has become increasingly important in order to determine
whether or not the student will be placed In order to develop after this and obtain better …

Analysis of Covid-19 related phrases using corpus-based tools: Dualisms language & technology

WW Lun, MM Muhammad, MF Zaini… - Journal of Positive …, 2022 - mail.journalppw.com
Abstract Since 2020, COVID-19 has become a contemporary topic of study in a wide variety
of disciplines. One of these is education, since the linguistic competence of Malaysian …

SMS: SIGNS MAY SAVE–Traffic Sign Recognition and Detection using CNN

P Tumuluru, LR Burra, N Sunanda… - 2022 6th …, 2022 - ieeexplore.ieee.org
Traffic sign classification automatically detects roadside traffic signs, such as speed limit
signs, yield signs, etc. Automatically recognizing traffic signs enables the development of …

Offensive Language Identification in Low Resource Languages using Bidirectional Long-Short-Term Memory Network

A Toktarova, A Abushakhma… - International …, 2023 - search.proquest.com
Offensive language identification is a critical task in today's digital era, enabling the
development of effective content moderation systems. However, it poses unique challenges …

Combining Multi-Features for Lung Cancer Detection in Computed Tomography Images: A Feature Fusion Model

P Tumuluru, LR Burra, J Vamsinath… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Lung cancer is a leading cause of cancer-related deaths worldwide, emphasizing the
importance of early detection. Although Computed Tomography (CT) images are widely …