A concise review of MRI feature extraction and classification with kernel functions

J Singh, C Arya, N Yamsani, M Kumar… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Magnetic resonance imaging is a common medical imaging tool for the identification and
monitoring of brain diseases. Accurate classification of MRI brain pictures is extremely …

[HTML][HTML] DBoTPM: A deep neural network-based botnet prediction model

MA Haq - Electronics, 2023 - mdpi.com
Internet of things (IoT) devices' evolution and growth have boosted system efficiency,
reduced human labour, and improved operational efficiency; however, IoT devices pose …

[HTML][HTML] Relationship between Cyber Security and Civil Protection in the Greek Reality

S Kalogiannidis, M Paschalidou, D Kalfas… - Applied Sciences, 2023 - mdpi.com
The links between cybersecurity and civil protection in the last decades became strong due
to the rapid increase in the use of Informatics Technologies (IT) worldwide and the need to …

[HTML][HTML] AMDDLmodel: Android smartphones malware detection using deep learning model

M Aamir, MW Iqbal, M Nosheen, MU Ashraf, A Shaf… - Plos one, 2024 - journals.plos.org
Android is the most popular operating system of the latest mobile smart devices. With this
operating system, many Android applications have been developed and become an …

Verifying trust over IoT-ad hoc network-based applications under uncertainty

N Baharloo, J Bentahar, G Alwhishi, N Drawel… - Ad Hoc Networks, 2024 - Elsevier
The rapid integration of the Internet of Things (IoT) with ad hoc networks offers significant
advantages for revolutionizing smart environments. However, ensuring trust and reliability …

[HTML][HTML] Navigating the Future of Secure and Efficient Intelligent Transportation Systems using AI and Blockchain

JG Bijalwan, J Singh, V Ravi… - The Open …, 2024 - opentransportationjournal.com
Materials and Methods The research methodology involves implementing DRL techniques
for autonomous car trajectory management within the context of connected and autonomous …

Comparative analysis of deep learning-based brain tumor prediction models using MRI scan

SMP Gangadharan, M Dharani… - 2023 3rd …, 2023 - ieeexplore.ieee.org
This research examines using MRI images for brain tumour identification in deep learning-
based tumour prediction models. Four well-known deep learning architectures' accuracy …

[PDF][PDF] A Survey on Deep Learning-Based 2D Human Pose Estimation Models.

S Salisu, ASA Mohamed, MH Jaafar… - … Materials & Continua, 2023 - cdn.techscience.cn
In this article, a comprehensive survey of deep learning-based (DL-based) human pose
estimation (HPE) that can help researchers in the domain of computer vision is presented …

[HTML][HTML] Spyware Identification for Android Systems Using Fine Trees

M Naser, Q Abu Al-Haija - Information, 2023 - mdpi.com
Android operating system (OS) has been recently featured as the most commonly used and
ingratiated OS for smartphone ecosystems. This is due to its high interoperability as an open …

[HTML][HTML] A holistic approach to ransomware classification: Leveraging static and dynamic analysis with visualization

B Yamany, MS Elsayed, AD Jurcut, N Abdelbaki… - Information, 2024 - mdpi.com
Ransomware is a type of malicious software that encrypts a victim's files and demands
payment in exchange for the decryption key. It is a rapidly growing and evolving threat that …