Showing results (11-20 of 35) with videos related to

Sort By:
Pageof 4
Heliyon|July 24, 2023
Eco-hydrological modeling of soil wetting pattern dimensions under drip irrigation systemsDinesh Kumar Vishwakarma, Rohitashw Kumar, Arvind Singh Tomar, et al.
Scientific Reports|July 8, 2026
A hybrid attention-based spatio-temporal model for deepfake video detectionSambhav Gupta, Ojasvi Pandey, Deepika Varshney, et al.
Environmental Science and Pollution Research International|January 17, 2023
Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) modelsAhmed Elbeltagi, Chaitanya B Pande, Manish Kumar, et al.
Scientific Reports|November 4, 2024
Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networksPramit Pandit, Atish Sagar, Bikramjeet Ghose, et al.
Environmental Science and Pollution Research International|June 28, 2022
Pre- and post-dam river water temperature alteration prediction using advanced machine learning modelsDinesh Kumar Vishwakarma, Rawshan Ali, Shakeel Ahmad Bhat, et al.
Heliyon|May 24, 2024
Stacked hybridization to enhance the performance of artificial neural networks (ANN) for prediction of water quality index in the Bagh river basin, IndiaNand Lal Kushwaha, Nanabhau S Kudnar, Dinesh Kumar Vishwakarma, et al.
Heliyon|May 30, 2023
Forecasting of stage-discharge in a non-perennial river using machine learning with gamma testDinesh Kumar Vishwakarma, Alban Kuriqi, Salwan Ali Abed, et al.
Scientific Reports|September 27, 2024
Evaluating land use and climate change impacts on Ravi river flows using GIS and hydrological modeling approachSami Ullah, Usman Ali, Muhammad Rashid, et al.
Scientific Reports|March 28, 2023
A residue management machine for chopping paddy residues in combine harvested paddy fieldChelpuri Ramulu, Raj Narayan Pateriya, Mude Arjun Naik, et al.
Heliyon|April 11, 2024
Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran)Mohsen Saroughi, Ehsan Mirzania, Mohammed Achite, et al.
Pageof 4