Hassaan Malik

According to our database, Hassaan Malik authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays.

Hassaan Malik, Tayyaba Anees

Multim. Tools Appl., July, 2024

Smart road management system for prioritized autonomous vehicles under vehicle-to-everything (V2X) communication.

Awad Bin Naeem, Abdul Majid Soomro, Hafiz Muhamad Saim, Hassaan Malik

Multim. Tools Appl., April, 2024

Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions.

Nimra Saeed, Hassaan Malik, Ahmad Naeem, Umair Bashir

Multim. Tools Appl., 2024

Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging.

Muhammad Adnan Hasnain, Hassaan Malik, Muhammad Mujtaba Asad, Fahad Sherwani

Int. J. Intell. Comput. Cybern., 2024

PDCNET: Deep Convolutional Neural Network for Classification of Periodontal Disease Using Dental Radiographs.

Anas Bilal, Ali Haider Khan, Khalid Almohammadi, Sami A. Al Ghamdi, Haixia Long, Hassaan Malik

IEEE Access, 2024

2023

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study.

Shafia Riaz, Ahmad Naeem, Hassaan Malik, Rizwan Ali Naqvi, Woong-Kee Loh

Sensors, October, 2023

Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions.

Hassaan Malik, Tayyaba Anees, Muhammad Faheem, Muhammad Umar Chaudhry, Aatka Ali, Muhammad Nabeel Asghar

Internet Things, October, 2023

CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.

Hassaan Malik, Tayyaba Anees, Mui-Zzud-Din, Ahmad Naeem

Multim. Tools Appl., April, 2023

DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays.

Hassaan Malik, Ahmad Naeem, Rizwan Ali Naqvi, Woong-Kee Loh

Sensors, January, 2023

A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images.

Hassaan Malik, Tayyaba Anees, Muhammad Umar Chaudhry, Radomír Gono, Michal Jasiñski, Zbigniew Leonowicz, Petr Bernat

IEEE Access, 2023

2022

BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs.

Hassaan Malik, Tayyaba Anees, Mui-Zzud-Din

Multim. Syst., 2022

2020

A Comparison of Transfer Learning Performance Versus Health Experts in Disease Diagnosis From Medical Imaging.

Hassaan Malik, Muhammad Shoaib Farooq, Adel Khelifi, Adnan Abid, Junaid Nasir Qureshi, Muzammil Hussain

IEEE Access, 2020