A network science-based performance improvement model for the airline industry using NetworkX

VVR Kollu, SS Amiripalli… - … Journal of Sensors …, 2021 - ingentaconnect.com
Background: COVID 19 created a challenging situation for many of the industries across the
globe. Our primary focus is on the most affected airline industry. In this paper, the …

[PDF][PDF] A novel method for prediction of diabetes mellitus using deep convolutional neural network and long short-term memory

GLA Kumari, P Padmaja, JG Suma - Indonesian Journal of Electrical …, 2022 - academia.edu
Hyperglycemia arises due to diabetes mellitus, which is a persistent and lifethreatening
ailment. In this paper deep convolution neural network can be embedded to long short-term …

An efficient modeling based on XGBoost and SVM algorithms to predict crop yield

GS Mallikarjuna Rao, S Dangeti… - Advances in Data Science …, 2022 - Springer
India is an agricultural country; agriculture is known as the backbone of the Indian economy,
where more than 60°/c of the Indian population depend on agriculture for their living. Crop …

Design and analysis of fibonacci based tgo compared with real-time mesh using graph invariant technique

SS Amiripalli, V Bobba… - International Journal of …, 2022 - ingentaconnect.com
Background: Graph analytics is one of the foremost established and unique strategies
utilized in taking care of present-day designing issues. In this study, this procedure was …

Design and implementation of an optimal N-edge connected networks for IOT based random mesh

VVR Kollu, SS Amiripalli… - International Journal of …, 2021 - ingentaconnect.com
Introduction: In IOT, very few problems were solved by using optimal n-edge connected
networks; however, this is the first attempt to increase the performance of IOT by optimal n …

Prediction of diabetes using hybridization based machine learning algorithm

RLN Boddeda, R Prasad, SS Amiripalli… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Diabetes is often referred to as a metabolic disease. It is a category of metabolic disorders
caused by a prolonged elevated amount of sugar in the blood. If diabetes can be predicted …

Computer Vision-Based Alert System to Detect Fatigue in Vehicle Drivers

JR Thota, BJ Jaidhan, MSNV Jitendra… - Advances in Data …, 2022 - Springer
The most prevailing problem around the world is the increasing number of road mishaps.
The number of lives lost on road is much more than any other disease and disaster …

[PDF][PDF] Formal perspectives on conceptualization of cyberspace

AM Kademi, A Koltuksuz - International Journal, 2020 - researchgate.net
Cyberization gives rise to divergence of cyberspace concepts––cyberspaces to general
cyberspace; cybermatics to cyberSciTech; cyber-enabled worlds to cyber-physical-social …

[PDF][PDF] Analysis of Airline Connectivity System using Graph Theory

MS Jitendra, SS Amiripalli, VVR Kollu… - … Journal of Control …, 2020 - researchgate.net
In the recent era, analytics plays a vital role in understanding and improving profits of many
businesses. Now a day's different analytic models available in the market. Some of them are …

A Graph Invariant-Based TGO Model for RailTel Optical Networks

SS Amiripalli, TVSA Dora, SK Addagarla… - … on Intelligent Computing …, 2021 - Springer
Optimization methods are used to develop a model that can decrease production costs and
maximize performance. There are several strategies for optimizing in soft computing …