Blockchain-based IoT devices in supply chain management: a systematic literature review

M Hussain, W Javed, O Hakeem, A Yousafzai… - Sustainability, 2021 - mdpi.com
Through recent progress, the forms of modern supply chains have evolved into complex
networks. The supply chain management systems face a variety of challenges. These …

Big data covid-19 systematic literature review: Pandemic crisis

LA Haafza, MJ Awan, A Abid, A Yasin, H Nobanee… - Electronics, 2021 - mdpi.com
The COVID-19 pandemic has frightened people worldwide, and coronavirus has become
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …

Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)

MH Ali, MM Jaber, SK Abd, A Rehman, MJ Awan… - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …

A novel deep learning-based approach for malware detection

K Shaukat, S Luo, V Varadharajan - Engineering Applications of Artificial …, 2023 - Elsevier
Malware detection approaches can be classified into two classes, including static analysis
and dynamic analysis. Conventional approaches of the two classes have their respective …

A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks

SB Atitallah, M Driss, I Almomani - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is prone to malware assaults due to its simple installation and
autonomous operating qualities. IoT devices have become the most tempting targets of …

Automated knee MR images segmentation of anterior cruciate ligament tears

MJ Awan, MSM Rahim, N Salim, A Rehman… - Sensors, 2022 - mdpi.com
The anterior cruciate ligament (ACL) is one of the main stabilizer parts of the knee. ACL
injury leads to causes of osteoarthritis risk. ACL rupture is common in the young athletic …

Malware detection using memory analysis data in big data environment

M Dener, G Ok, A Orman - Applied Sciences, 2022 - mdpi.com
Malware is a significant threat that has grown with the spread of technology. This makes
detecting malware a critical issue. Static and dynamic methods are widely used in the …

Harris hawks sparse auto-encoder networks for automatic speech recognition system

MH Ali, MM Jaber, SK Abd, A Rehman, MJ Awan… - Applied Sciences, 2022 - mdpi.com
Automatic speech recognition (ASR) is an effective technique that can convert human
speech into text format or computer actions. ASR systems are widely used in smart …

A two‐stage deep learning framework for image‐based Android malware detection and variant classification

P Yadav, N Menon, V Ravi… - Computational …, 2022 - Wiley Online Library
With the popularity of the internet and smartphones, malware on smartphones has increased
dramatically. In addition, the ubiquity and openness of the Android operating system have …

Performance analysis for COVID-19 diagnosis using custom and state-of-the-art deep learning models

AT Nagi, MJ Awan, MA Mohammed, A Mahmoud… - Applied Sciences, 2022 - mdpi.com
The modern scientific world continuously endeavors to battle and devise solutions for newly
arising pandemics. One such pandemic which has turned the world's accustomed routine …