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G. H. Harish Nayak

Observed names: G H Harish Nayak, G.H. Harish Nayak, Harish Nayak G H, Harish Nayak GH, Harish Nayak, G. H.
ORCID: 0009-0005-7360-474X
Observed ORCID: 0009-0005-7360-474X
OpenAlex ID: A5053265571
Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices
2024 · G. Avinash, V. Ramasubramanian, et al. · Applied Soft Computing · 68
Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India
2024 · G. H. Harish Nayak, Md Wasi Alam, et al. · Scientific Reports · 52
Transformer-based deep learning architecture for time series forecasting
2024 · G.H. Harish Nayak, Md Wasi Alam, et al. · Software Impacts · 46
N-BEATS Deep Learning Architecture for Agricultural Commodity Price Forecasting
2024 · G. H. Harish Nayak, Md Wasi Alam, et al. · Potato Research · 36
Modelling monthly rainfall of India through transformer-based deep learning architecture
2024 · G. H. Harish Nayak, Wasi Alam, et al. · Modeling Earth Systems and Environment · 33
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting
2025 · G. H. Harish Nayak, Md. Wasi Alam, et al. · Journal Of Big Data · 31
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A Comparative Analysis of Time Series Models for Onion Price Forecasting: Insights for Agricultural Economics
2024 · Vinay H T, Pavithra V, et al. · Journal of Experimental Agriculture International · 9
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Stock Price Forecasting using N-Beats Deep Learning Architecture
2024 · B. Samuel Naik, V C Karthik, et al. · Journal of Scientific Research and Reports · 7
Trend Analysis and Prediction of Rainfall Using Deep Learning Models in Three Sub-Divisions of Karnataka
2023 · G. H. Harish Nayak, A. Varalakshmi, et al. · Journal of Experimental Agriculture International · 5
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Enhancing Agricultural Commodity Price Forecasting Using Generative Models: A Deep Learning Approach
2024 · G. Avinash, G. H. Harish Nayak, et al. · Journal of Scientific Research and Reports · 4
Enhanced Tobacco Yield Prediction Using Spatial Information and Exogenous Variable-driven Machine Learning Models
2024 · B. Samuel Naik, V C Karthik, et al. · Journal of Scientific Research and Reports · 4
CNN-transformer hybrid deep learning model for agricultural commodities price forecasting
2026 · B. S. Varshini, Md Wasi Alam, et al. · Discover Computing · 3
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Advanced Potato Price Prediction through N-BEATS Deep Learning Architecture
2024 · V C Karthik, B. Samuel Naik, et al. · Journal of Experimental Agriculture International · 2
Effect of Socio-Economic and Demographic Characteristics on Agricultural Labourers Migration in Bidar District of Karnataka, India
2023 · Veershetty, A. Muhsina, et al. · Asian Journal of Agricultural Extension Economics & Sociology · 1
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Trend and Forecasting of Area, Production and Productivity of Mango Crop in Karnataka, India
2023 · A. Varalakshmi, G. H. Harish Nayak, et al. · Journal of Experimental Agriculture International · 1
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Optimizing agricultural price forecasting: a hybrid time series approach with Bayesian model averaging
2026 · Rabsanjani Pramanik, G. H. Harish Nayak, et al. · Communications in Statistics - Simulation and Computation
transformerForecasting: Transformer Deep Learning Model for Time Series Forecasting
2025 · G H Harish Nayak
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Impact of Seasonal Shifts on Cereal Crop Acreage in Western Odisha, India: An Empirical Analysis
2024 · Moumita Baishya, Gunturi Alekhya, et al. · Journal of Experimental Agriculture International
Volume and Status of Agricultural Labourers’ Migration in Bidar District, Karnataka, India
2023 · Veershetty, A. Muhsina, et al. · Journal of Experimental Agriculture International
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Trends in Area, Production, and Productivity of Coffee in Chikkamagaluru District of Karnataka, India
2023 · G. H. Harish Nayak, A. Varalakshmi, et al. · Journal of Experimental Agriculture International
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Works count: 20
Citation count: 302
H-index: 7
I10-index: 6
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