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Nrusingha Tripathy

ORCID: 0000-0002-0272-7479
Observed ORCID: 0000-0002-0272-7479
OpenAlex ID: A5020436793
A Robust Deep Learning-Based Speaker Identification System Using Hybrid Model on KUI Dataset
2024 · Subrat Kumar Nayak, Ajit Kumar Nayak, et al. · International Journal of Electrical and Electronics Research · 36
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Cryptocurrency fraud detection through classification techniques
2024 · Nrusingha Tripathy, Sidhanta Kumar Balabantaray, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 27
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Performance analysis of bitcoin forecasting using deep learning techniques
2023 · Nrusingha Tripathy, Sarbeswara Hota, et al. · Indonesian Journal of Electrical Engineering and Computer Science · 26
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Empirical Forecasting Analysis of Bitcoin Prices
2024 · Nrusingha Tripathy, Sarbeswara Hota, et al. · International journal of electrical and computer engineering systems · 25
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Performance Analysis of Deep Learning Techniques for Time Series Forecasting
2023 · Nrusingha Tripathy, Sarbeswara Hota, et al. · International Conference in Advances in Power, Signal, and Information Technology (APSIT) · 22
A comparative analysis of Silverkite and inter-dependent deep learning models for bitcoin price prediction
2024 · Nrusingha Tripathy, Subrat Kumar Nayak, et al. · Frontiers in Blockchain · 17
A Comparative Analysis of Diabetes Prediction Using Machine Learning and Deep Learning Algorithms in Healthcare
2024 · Nrusingha Tripathy, Bhimasen Moharana, et al. · International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) · 16
A comprehensive analysis of Bitcoin volatility forecasting using time-series econometric models
2025 · Nrusingha Tripathy, Sarbeswara Hota, et al. · Applied Soft Computing · 12
Speech data collection system for KUI, a Low resourced tribal language
2023 · Subrat Kumar Nayak, Ajit Kumar Nayak, et al. · Journal of Autonomous Intelligence · 12
Forecasting Stock Market Indices Using Gated Recurrent Unit (GRU) Based Ensemble Models: LSTM-GRU
2023 · Nrusingha Tripathy, Surabi Parida, et al. · International Journal of Computer and Communication Technology · 11
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Credit Card Fraud Detection Using Logistic Regression and Synthetic Minority Oversampling Technique (SMOTE) Approach.
2022 · Nrusingha Tripathy, Subrat Kumar Nayak, et al. · International Journal of Computer and Communication Technology · 11
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Bitcoin volatility forecasting: a comparative analysis of conventional econometric models with deep learning models
2024 · Nrusingha Tripathy, Debahuti Mishra, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 9
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Improving Kui digit recognition through machine learning and data augmentation techniques
2024 · Subrat Kumar Nayak, Ajit Kumar Nayak, et al. · Indonesian Journal of Electrical Engineering and Computer Science · 8
An Empirical Analysis of Electric Vehicle in Urban Transportation Market Using Deep-Learning Techniques
2023 · Nrusingha Tripathy, Sarbeswara Hota, et al. · IEEE International Conference on Sustainable Energy and Future Electric Transportation (SEFET) · 6
Performance Analysis of Deep Neural Network and Machine Learning Algorithms for Diabetes Prediction
2023 · Nrusingha Tripathy, Gobinda Chandra Das, et al. · International Conference on Ambient Intelligence in Health Care (ICAIHC) · 4
EPD: an integrated modeling technique to classify BC
2023 · Sashikanta Prusty, Sujit Kumar Dash, et al. · International Conference in Advances in Power, Signal, and Information Technology (APSIT) · 4
Exploring Speech Emotion Recognition in Tribal Language with Deep Learning Techniques
2025 · Subrat Kumar Nayak, Ajit Kumar Nayak, et al. · International journal of electrical and computer engineering systems · 3
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Ethereum Fraud Detection: A comparative analysis of supervised learning approach
2024 · Nrusingha Tripathy, Kumar Surjeet Chaudhury, et al. · IEEE International Conference on Advances in Signal Processing, Power, Communication, and Computing (ASPCC) · 2
Cryptocurrency Price Prediction: A Comprehensive Analysis of High-dimensional Features with Deep Learning Techniques
2024 · Nrusingha Tripathy, Sarbeswara Hota, et al. · International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT) · 2
Empirical Analysis of Digital Currency Herding and Contagion Effect Using Deep Learning Approaches
2024 · Nrusingha Tripathy, Sarbeswara Hota, et al. · Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON) · 2
An Analysis of Bitcoin Price Prediction Using Parametric Time-Series Forecasting Models
2024 · Ghanashyam Sahoo, Nrusingha Tripathy, et al. · International Conference on Artificial Intelligence and Quantum Computing (AIQC) · 2
Deep Learning-based Gated Recurrent Unit Approach to Stock Market Forecasting: An Analysis of Intel's Stock Data
2023 · Nrusingha Tripathy, Ibanga Kpereobong Friday, et al. · International Journal of Smart Sensor and Adhoc Network · 2
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A Comprehensive Analysis and Prediction of Diabetes Diseases Using Deep Learning Techniques
2025 · Nrusingha Tripathy, Subrat Kumar Nayak, et al. · CRC Press eBooks · 1
Fusion of Multi Model Vision Transformers Features with Pre-Trained CNN Classifiers for Enhanced Brain Tumor Diagnosis
2025 · Soumyarashmi Panigrahi, Dibya Ranjan Das Adhikary, et al. · International Conference on Circuits, Power and Intelligent Systems (CCPIS) · 1
Empirical analysis of Bitcoin investment strategy: a comparison of machine learning and deep learning approach
2025 · Nrusingha Tripathy, Yugandhar Manchala, et al. · Indonesian Journal of Electrical Engineering and Computer Science · 1
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Works count: 52
Citation count: 268
H-index: 11
I10-index: 11
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