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Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems
Author(s) -
Muhammad Atif Butt,
Asad Masood Khattak,
Sarmad Shafique,
Bashir Hayat,
Saima Abid,
KiIl Kim,
Muhammad Ayub,
Ahthasham Sajid,
Awais Adnan
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/6644861
Subject(s) - computer science , robustness (evolution) , convolutional neural network , intelligent transportation system , artificial intelligence , contextual image classification , artificial neural network , machine learning , data mining , pattern recognition (psychology) , image (mathematics) , engineering , biochemistry , chemistry , civil engineering , gene
School of Electrical Engineering and Computer Science (SEECS), National University of Science and Technology (NUST), H-12, Islamabad 44000, Pakistan College of Technological Innovation, Zayed University, Abu Dhabi, UAE Control, Automotive and Robotics Lab Affiliated Lab of National Center of Robotics and Automation (NCRA HEC Pakistan), Department of Computer Science and Information Technology, Mirpur University of Science and Technology (MUST), Mirpur-10250, Pakistan Institute of Management Sciences, Peshawar, Pakistan Department of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK Department of Electrical Engineering, COMSATS University, Lahore 54000, Pakistan Department of Computer Science, Faculty of ICT, Balochistan University of Information Technology Engineering and Management Sciences, Quetta, Baluchistan, Pakistan

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