Search Results - "Malik, Tauqeer Safdar"

RL-IoT: Reinforcement Learning-Based Routing Approach for Cognitive Radio-Enabled IoT Communications by Safdar Malik, Tauqeer, Razzaq Malik, Kaleem, Afzal, Ayesha, Ibrar, Muhammad, Wang, Lei, Song, Houbing, Shah, Nadir

“…Internet of Things (IoT) devices are widely being used in various smart applications and being equipped with cognitive radio (CR) capabilities for dynamic…”
Get full text

Reinforcement Learning-Based Routing Protocol to Minimize Channel Switching and Interference for Cognitive Radio Networks by Safdar Malik, Tauqeer, Hasan, Mohd Hilmi

“…In the existing network-layered architectural stack of Cognitive Radio Ad Hoc Network (CRAHN), channel selection is performed at the Medium Access Control…”
Get full text

Comparison of Blackhole and Wormhole Attacks in Cloud MANET Enabled IoT for Agricultural Field Monitoring by Safdar Malik, Tauqeer, Siddiqui, Muhammad Nasir, Mateen, Muhammad, Malik, Kaleem Razzaq, Sun, Song, Wen, Junhao

“…In Mobile Ad hoc Network (MANET) enabled Internet of Things (IoT) agricultural field monitoring, sensor devices are automatically connected and form an…”
Get full text

Deep Learning Approach for Automatic Microaneurysms Detection by Mateen, Muhammad, Malik, Tauqeer Safdar, Hayat, Shaukat, Hameed, Musab, Sun, Song, Wen, Junhao

“…In diabetic retinopathy (DR), the early signs that may lead the eyesight towards complete vision loss are considered as microaneurysms (MAs). The shape of…”
Get full text

Enhancing intrusion detection: a hybrid machine and deep learning approach by Sajid, Muhammad, Malik, Kaleem Razzaq, Almogren, Ahmad, Malik, Tauqeer Safdar, Khan, Ali Haider, Tanveer, Jawad, Rehman, Ateeq Ur

“…The volume of data transferred across communication infrastructures has recently increased due to technological advancements in cloud computing, the Internet…”
Get full text

An Efficient and Secure Fog Based Routing Mechanism in IoT Network by Malik, Tauqeer Safdar, Tanveer, Jawad, Anwar, Shahid, Mufti, Muhammad Rafiq, Afzal, Humaira, Kim, Ajung

“…The Internet of Things (IoT) networks are the most prone to internal as well as external attacks in addition to energy consumption problems. Conventional…”
Get full text

Non-Cooperative Learning Based Routing for 6G-IoT Cognitive Radio Network by Safdar Malik, Tauqeer, Razzaq Malik, Kaleem, Sanaullah, Muhammad, Hilmi Hasan, Mohd, Aziz, Norshakirah

Get full text

Artistic Style Recognition: Combining Deep and Shallow Neural Networks for Painting Classification by Imran, Saqib, Naqvi, Rizwan Ali, Sajid, Muhammad, Malik, Tauqeer Safdar, Ullah, Saif, Moqurrab, Syed Atif, Yon, Dong Keon

“…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…”
Get full text

E-Learning Development Based on Internet of Things and Blockchain Technology during COVID-19 Pandemic by Rahmani, Amir Masoud, Ali Naqvi, Rizwan, Hussain Malik, Mazhar, Malik, Tauqeer Safdar, Sadrishojaei, Mahyar, Hosseinzadeh, Mehdi, Al-Musawi, Ali

“…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…”
Get full text

Performance Analysis of Blackhole and Wormhole Attack in MANET Based IoT by Siddiqui, Muhammad Nasir, Malik, Kaleem Razzaq, Malik, Tauqeer Safdar

“…In Mobile Ad-hoc Network based Internet of things (MANET-IoT), nodes are mobile, infrastructure less, managed and organized by themselves that have important…”
Get full text

Lockdown Strategy to Control Covid-19 Pandemic Using Automata by Jabeen, Shagufta, Malik, Tauqeer Safdar, Abdullah, Ahsan, Hasan, Mohd Hilmi

“…The fatal disease of COVID-19 is wrapping up the whole world. Long-term lockdown policy has become the main reason for an increase in the unemployment rate all…”
Get full text

QoS routing for Cognitive Radio Ad-Hoc Networks: Challenges & issues by Malik, Tauqeer Safdar, Hasbulah, Halabi B.

“…Cognitive Radio Ad-Hoc Network (CRAHN) is an emerging class of mobile ad hoc networks that provides each network node with a list of available channels. It is…”
Get full text

The effect of user and channel interferences on QoS routing in Cognitive Radio Ad-Hoc Network by Hasbullah, H., Malik, T. S.

“…Cognitive Radio Ad-Hoc Network (CRAHN) is an emerging class of mobile ad hoc networks that provides each network node with a list of available channels. It is…”
Get full text