Sadhana Tiwari
Orcid: 0000-0003-1919-3490
According to our database1,
Sadhana Tiwari
authored at least 15 papers
between 2017 and 2023.
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Bibliography
2023
Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules.
Knowl. Based Syst., 2023
Empirical analysis of chronic disease dataset for multiclass classification using optimal feature selection based hybrid model with spark streaming.
Future Gener. Comput. Syst., 2023
A Decision Support System for Liver Diseases Prediction: Integrating Batch Processing, Rule-Based Event Detection and SPARQL Query.
CoRR, 2023
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules.
CoRR, 2023
Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the OITS International Conference on Information Technology, 2023
A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models.
Proceedings of the OITS International Conference on Information Technology, 2023
2022
Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach.
CoRR, 2022
An optimized hybrid solution for IoT based lifestyle disease classification using stress data.
CoRR, 2022
Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming.
CoRR, 2022
An Optimized Hybrid Solution for IoT Based Lifestyle Disease Classification Using Stress Data.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022
2021
Dataset, September, 2021
A Shrewd Artificial Neural Network-Based Hybrid Model for Pervasive Stress Detection of Students Using Galvanic Skin Response and Electrocardiogram Signals.
Big Data, 2021
2017
An approach for feature selection using local searching and global optimization techniques.
Neural Comput. Appl., 2017