Zobrazeno 1 - 10 of 20 pro vyhledávání: '"Tauqeer A, Malik"'
1
Akademický článek
Enhancing intrusion detection: a hybrid machine and deep learning approach
Autor: Muhammad Sajid, Kaleem Razzaq Malik, Ahmad Almogren, Tauqeer Safdar Malik, Ali Haider Khan, Jawad Tanveer, Ateeq Ur Rehman
Publikováno v: Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-24 (2024)
Abstract The volume of data transferred across communication infrastructures has recently increased due to technological advancements in cloud computing, the Internet of Things (IoT), and automobile networks. The network systems transmit diverse and
Externí odkaz: https://doaj.org/article/a9ecffcd66c04ba8bde84c6d162dce06
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2
Akademický článek
Artistic Style Recognition: Combining Deep and Shallow Neural Networks for Painting Classification
Autor: Saqib Imran, Rizwan Ali Naqvi, Muhammad Sajid, Tauqeer Safdar Malik, Saif Ullah, Syed Atif Moqurrab, Dong Keon Yon
Publikováno v: Mathematics, Vol 11, Iss 22, p 4564 (2023)
This study’s main goal is to create a useful software application for finding and classifying fine art photos in museums and art galleries. There is an increasing need for tools to swiftly analyze and arrange art collections based on their artistic
Externí odkaz: https://doaj.org/article/9b5b4be23eb34338beee78003e89590f
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3
Akademický článek
An Efficient and Secure Fog Based Routing Mechanism in IoT Network
Autor: Tauqeer Safdar Malik, Jawad Tanveer, Shahid Anwar, Muhammad Rafiq Mufti, Humaira Afzal, Ajung Kim
Publikováno v: Mathematics, Vol 11, Iss 17, p 3652 (2023)
The Internet of Things (IoT) networks are the most prone to internal as well as external attacks in addition to energy consumption problems. Conventional security solutions are not able to address these issues effectively due to the limited resources
Externí odkaz: https://doaj.org/article/5bb3615892754a20bd1950968fc51a72
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6
Akademický článek
Reinforcement Learning-Based Routing Protocol to Minimize Channel Switching and Interference for Cognitive Radio Networks
Autor: Tauqeer Safdar Malik, Mohd Hilmi Hasan
Publikováno v: Complexity, Vol 2020 (2020)
In the existing network-layered architectural stack of Cognitive Radio Ad Hoc Network (CRAHN), channel selection is performed at the Medium Access Control (MAC) layer. However, routing is done on the network layer. Due to this limitation, the Seconda
Externí odkaz: https://doaj.org/article/ac35206bb37e46108481d2b6233ae4c9
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7
Akademický článek
Deep Learning Approach for Automatic Microaneurysms Detection
Autor: Muhammad Mateen, Tauqeer Safdar Malik, Shaukat Hayat, Musab Hameed, Song Sun, Junhao Wen
Publikováno v: Sensors, Vol 22, Iss 2, p 542 (2022)
In diabetic retinopathy (DR), the early signs that may lead the eyesight towards complete vision loss are considered as microaneurysms (MAs). The shape of these MAs is almost circular, and they have a darkish color and are tiny in size, which means t
Externí odkaz: https://doaj.org/article/1163ca4f25db4a32bd6cbae1fae9e731
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8
Akademický článek
E-Learning Development Based on Internet of Things and Blockchain Technology during COVID-19 Pandemic
Autor: Amir Masoud Rahmani, Rizwan Ali Naqvi, Mazhar Hussain Malik, Tauqeer Safdar Malik, Mahyar Sadrishojaei, Mehdi Hosseinzadeh, Ali Al-Musawi
Publikováno v: Mathematics, Vol 9, Iss 24, p 3151 (2021)
The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational p
Externí odkaz: https://doaj.org/article/b42b8a541d37479db1eee57b0a5aa178
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