A5101768509- Rough Sets and Fuzzy Logic
- Data Mining Algorithms and Applications
- Imbalanced Data Classification Techniques
- Nanofluid Flow and Heat Transfer
- Artificial Intelligence in Healthcare
- Heat Transfer Mechanisms
- Heat Transfer and Optimization
- Reproductive Biology and Fertility
- COVID-19 diagnosis using AI
- Effects of Environmental Stressors on Livestock
- Hydrological Forecasting Using AI
- Fluid Dynamics and Thin Films
- Fibroblast Growth Factor Research
- Thermoregulation and physiological responses
- Image Retrieval and Classification Techniques
- Anomaly Detection Techniques and Applications
- Lattice Boltzmann Simulation Studies
- Energy Load and Power Forecasting
- Advanced Data Processing Techniques
- TGF-β signaling in diseases
- Radiomics and Machine Learning in Medical Imaging
- Genetic and phenotypic traits in livestock
- Kruppel-like factors research
- Image Processing and 3D Reconstruction
- Fluid Dynamics and Turbulent Flows
Odisha University of Technology and Research
2022-2024
Odisha University of Agriculture and Technology
2015-2024
Siksha O Anusandhan University
2021-2024
University College for Women
2023
Indian Veterinary Research Institute
2015-2018
Utkal University
2015-2017
Pneumonia is a thoracic illness that affects human lungs areas, and chest X-Rays mainly diagnose it. With the recent advances in soft computing techniques, various algorithmic approaches are used to predict which can save millions of lives by detecting early. This study uses machine learning techniques analyze X-ray images Pneumonia. We have proposed model using some classifiers like Logistic Regression (LR), Neural Network (NN), Support Vector Machine (SVM) detect presence or absence...
NanoAccepted Papers No AccessEthylene glycol-based oxide tri-hybrid nanofluid flow over a curved Riga permeable medium for the impact of thermal radiationSubhajit Panda, Rupa Baithalu, S.R. Mishra, and Emad H. AlySubhajit Baithalu Search more papers by this author , Mishra Alyhttps://orcid.org/0000-0001-7432-193X https://doi.org/10.1142/S1793292025500286Cited by:0 (Source: Crossref) PreviousNext AboutFiguresReferencesRelatedDetailsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack...
There are several soft computing methods in use to predict rainfall. Mainly two features were included increase rainfall prediction: (1) using data pre-processing procedure and (2) a modular approach. The projected approach incorporated Moving Average (MA) Singular Spectrum Analysis (SSA). method of was poised Support Vectors Regression l (SVR) models or the Rough Set Technique (RST). In development for forecasting rainfall, RST initially applied data- preprocessing. Modular used pre-process...
Prediction of meteorological phenomena using conventional techniques is always a challenge for meteorologists. We developed novel method predicting by the Random Forest Model (RFM) and Rough Set Theory (RST). have used RST to find most significant phenomena, then RFM, we derived set predictive results. Using on vague data, that phenomenon wind speed. After RFM based outcome, predicted Chi-square test validate our claim. For analysis, collected various data from different parts Odisha state in India.
Due to the varied applications in industries, chemical reaction has a significant role perfect shape and size of product that is dependent upon proper cooling system. Therefore, existing analysis reveals impression non-uniform heat source/sink on micropolar nanofluid through nonlinear vertical stretching surface for interaction heterogeneous homogeneous reactions. Oxide nanoparticle embedding with traditional water considered by introducing operational properties such as thermal conductivity...
Heartbeat is an essential method to verify the initial Heart condition. It has been a basic technique used by doctors for since long. The heartbeat rate not constant, so it impossible predict accurately. Time series prediction rich statistical its real-world application. In healthcare sector, time predicting designs have wide application in forecasting advancement of ailment, approximation death rate, and measuring risk, which time-dependent. Though, immense accessibility various methods,...
Free convection of a viscous electrically conducting liquid past vertical stretching surface is investigated in the presence transverse magnetic field. Natural driven by both thermal and solutal buoyancy. The original partial differential equations governing problem are turned into set ordinary through similar variables transformation. This alternate solved Differential Transform Method (DTM) Pade approximation. response considered physical system to non-dimensional parameters accounting for...
Cardiac-related problems have taken millions of lives within a small-time interval around the globe. Cardiac arrest does not any initial symptoms, always challenge for physician to overcome this problem. We developed novel technique that includes three concepts, i.e., Rough Set Theory (RST), Support Vector Machines (SVM), and Differential Equation Modeling (DEM). Applying RST, we find is most significant heart-related disease, which leads maximum number deaths in our state Odisha. used two...