[Retracted] EEG‐Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review

I Ahmad, X Wang, M Zhu, C Wang, Y Pi… - Computational …, 2022 - Wiley Online Library
Epileptic seizure is one of the most chronic neurological diseases that instantaneously
disrupts the lifestyle of affected individuals. Toward develo** novel and efficient …

Security in internet of things: a review on approaches based on blockchain, machine learning, cryptography, and quantum computing

S Cherbal, A Zier, S Hebal, L Louail… - The Journal of …, 2024 - Springer
Abstract The Internet of Things (IoT) is an important virtual network that allows remote users
to access linked multimedia devices. The development of IoT and its ubiquitous application …

A hybrid deep learning-based approach for brain tumor classification

A Raza, H Ayub, JA Khan, I Ahmad, A S. Salama… - Electronics, 2022 - mdpi.com
Brain tumors (BTs) are spreading very rapidly across the world. Every year, thousands of
people die due to deadly brain tumors. Therefore, accurate detection and classification are …

An intelligent intrusion detection system for smart consumer electronics network

D Javeed, MS Saeed, I Ahmad, P Kumar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The technological advancements of Internet of Things (IoT) has revolutionized traditional
Consumer Electronics (CE) into next-generation CE with higher connectivity and …

[HTML][HTML] Detection of distributed denial of service (DDoS) attacks in IOT based monitoring system of banking sector using machine learning models

U Islam, A Muhammad, R Mansoor, MS Hossain… - Sustainability, 2022 - mdpi.com
Cyberattacks can trigger power outages, military equipment problems, and breaches of
confidential information, ie, medical records could be stolen if they get into the wrong hands …

Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework

M Al Razib, D Javeed, MT Khan, R Alkanhel… - IEEe …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …

A novel hybrid deep learning model for metastatic cancer detection

S Ahmad, T Ullah, I Ahmad, A Al-Sharabi… - Computational …, 2022 - Wiley Online Library
Cancer has been found as a heterogeneous disease with various subtypes and aims to
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …

[HTML][HTML] A deep learning-based novel hybrid CNN-LSTM architecture for efficient detection of threats in the IoT ecosystem

A Nazir, J He, N Zhu, SS Qureshi, SU Qureshi… - Ain Shams Engineering …, 2024 - Elsevier
Abstract The Internet of Things (IoT) landscape is witnessing rapid growth, driven by
continuous innovation and a simultaneous increase in cybersecurity threats. As these …

Security control and data planes of SDN: a comprehensive review of traditional, AI and MTD approaches to security solutions

AH Abdi, L Audah, A Salh, MA Alhartomi… - IEEE …, 2024 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is a groundbreaking technology that has transformed
network management significantly. By integrating data and control, SDN offers unparalleled …

[HTML][HTML] Brain tumor classification and detection using hybrid deep tumor network

GA Amran, MS Alsharam, AOA Blajam, AA Hasan… - Electronics, 2022 - mdpi.com
Brain tumor (BTs) is considered one of the deadly, destructive, and belligerent disease, that
shortens the average life span of patients. Patients with misdiagnosed and insufficient …