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Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol
The Machine Learning/Deep Learning (ML/DL) forecasting model has helped stakeholders overcome uncertainties associated with renewable energy resources and time planning for probable near-term power fluctuations. Nevertheless, the effectiveness of long-te...
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Milind Gayakwad, Suhas Patil, Amol Kadam, Shashank Joshi, Ketan Kotecha, Rahul Joshi, Sharnil Pandya, Sudhanshu Gonge, Suresh Rathod, Kalyani Kadam and Maya Shelke
Content is a user-designed form of information, for example, observation, perception, or review. This type of information is more relevant to users, as they can relate it to their experience. The research problem is to identify the credibility and the pe...
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Bhushan V. Lande, Suhas C. Kongre, G. P. Dhalwar
Pág. 29 - 35
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K. Lokesh, . Basavegowda, Mallikarjun Reddy, . Siddaram, P. D. Suhas, Basavaraj Makanur, G. C. Shekar
Pág. Page:130 - 138Abstrac
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Suhas M.V,Swathi B.P
In an attempt to develop a system to classify the wild animals using image processing and classification techniques, we study the usage of Haralick textural features are used in wild animal classification which is a computer aided pattern recognition sys...
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Sanjay Nikhade,Suhas Kongre,S. B. Thakre,S. S. Khandare
Pág. 11 - 18
This paper presents a combined experimental and Computational Fluid Dynamics (CFD) simulation of Micro wind Turbine with 2.28 meters rotor Diameter is performed using the FLUENT 16.2 WORKBENCH. A Micro Horizontal Axis Three Blade Wind Turbine was designe...
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Ram A. Jat, Suhas P. Wani, P. Pathak, Piara Singh, Kanwar L. Sahrawat, Girish Chander, R. S. Sudi
Pág. Page:324 - 338Abstrac
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