T
Tanvir Ahmad
Researcher at North China Electric Power University
Publications - 46
Citations - 490
Tanvir Ahmad is an academic researcher from North China Electric Power University. The author has contributed to research in topics: Computer science & Wind power. The author has an hindex of 9, co-authored 38 publications receiving 227 citations. Previous affiliations of Tanvir Ahmad include Durham University & University of Engineering and Technology, Peshawar.
Papers
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Journal ArticleDOI
Feature Selection Based on L1-Norm Support Vector Machine and Effective Recognition System for Parkinson’s Disease Using Voice Recordings
Amin Ul Haq,Jianping Li,Muhammad Hammad Memon,Jalaluddin Khan,Asad Malik,Tanvir Ahmad,Amjad Ali,Shah Nazir,Ijaz Ahad,Mohammad Shahid +9 more
TL;DR: The experimental findings of this paper suggest that the proposed method can be used to accurately predict the PD and can be easily incorporated in healthcare for diagnosis purpose.
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Object Detection through Modified YOLO Neural Network
TL;DR: A modified YOLOv1 based neural network based on an inception model with a convolution kernel of 1 1 is added, which reduced the number of weight parameters of the layers and the proposed method achieved better performance.
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Forage sorghum-legumes intercropping: effect on growth, yields, nutritional quality and economic returns
Muhammad Aamir Iqbal,Abdul Hamid,Tanvir Ahmad,Muzammil H. Siddiqui,Imtiaz Hussain,Sajid Ali,Anser Ali,Zahoor Ahmad +7 more
TL;DR: Despite a significant increase in overall productivity, component crops suffer yield losses in intercropping systems owing to competition for the finite divisible pool of growth resources, so there is a dire need to optimize spatial and temporal arrangements in sorghum-legumes intercropped systems to achieve maximum productivity and economic returns.
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Field Implementation and Trial of Coordinated Control of WIND Farms
Tanvir Ahmad,Olivier Coupiac,Arthur Petit,Sophie Guignard,Nicolas Girard,Behzad Kazemtabrizi,Peter Matthews +6 more
TL;DR: In this paper, the authors demonstrate the potential of increasing wind farm production through minimising wake effects by curtailing upstream wind turbines, using LiDAR based coordinated control strategies in an operating wind farm.
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Optimizing coordinated control of distributed energy storage system in microgrid to improve battery life
TL;DR: A control strategy for distributed BESS in a centrally controlled microgrid to enhance the calendar life of BESS and selects the BESS with better health and higher capacity for operation on priority resulting in better Calendar life of the energy storage system.