Výsledky vyhledávání - "Sibtain Syed"

Akademický článek

Recognition of inscribed cursive Pashtu numeral through optimized deep learning

Autor: Sibtain Syed, Khalil Khan, Maqbool Khan, Rehan Ullah Khan, Abdulrahman Aloraini

Publikováno v: PeerJ Computer Science, Vol 10, p e2124 (2024)

Pashtu is one of the most widely spoken languages in south-east Asia. Pashtu Numerics recognition poses challenges due to its cursive nature. Despite this, employing a machine learning-based optical character recognition (OCR) model can be an effecti

Externí odkaz: https://doaj.org/article/25630a7d86b9418880aa1c49a224ad73

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Akademický článek

Application of coupling machine learning techniques and linear Bias scaling for optimizing 10-daily flow simulations, Swat River Basin

Autor: Sibtain Syed, Zain Syed, Prince Mahmood, Sajjad Haider, Firdos Khan, Muhammad Talha Syed, Saqlain Syed

Publikováno v: Water Practice and Technology, Vol 18, Iss 6, Pp 1343-1356 (2023)

Accurate hydrological simulations comply with the water (sixth) Sustainable Development Goals (SDGs). The study investigates the utility of ANN and SVR, as well as the post-simulation bias treatment of these simulations at Swat River basin, Pakistan.

Externí odkaz: https://doaj.org/article/2cae36e879624c01ae8c641281e095d9

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Akademický článek

Short–long-term streamflow forecasting using a coupled wavelet transform–artificial neural network (WT–ANN) model at the Gilgit River Basin, Pakistan

Autor: Zain Syed, Prince Mahmood, Sajjad Haider, Shakil Ahmad, Khan Zaib Jadoon, Rashid Farooq, Sibtain Syed, Khalil Ahmad

Publikováno v: Journal of Hydroinformatics, Vol 25, Iss 3, Pp 881-894 (2023)

Streamflow forecasting is highly crucial in the domain of water resources. For this study, we coupled the Wavelet Transform (WT) and Artificial Neural Network (ANN) to forecast Gilgit streamflow at short-term (T0.33 and T0.66), intermediate-term (T1)

Externí odkaz: https://doaj.org/article/bcadbb1dc3f04f58bfe6817088262d31

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Akademický článek

Split-Second Cryptocurrency Forecast Using Prognostic Deep Learning Algorithms: Data Curation by Deephaven

Autor: Sibtain Syed, Arshad Iqbal, Waqar Mehmood, Zain Syed, Maqbool Khan, Giovanni Pau

Publikováno v: IEEE Access, Vol 11, Pp 128644-128654 (2023)

Cryptocurrency is a popular digital currency due to its security and peer-to-peer transferability. Predicting cryptocurrency prices is crucial for investors and traders to make informed decisions on buying, selling, or holding cryptocurrencies based

Externí odkaz: https://doaj.org/article/b0fec291e3f649fe8299c189e23ffc93

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