[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 …

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 …

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 …

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 …

Intelligent hybrid deep learning model for breast cancer detection

X Wang, I Ahmad, D Javeed, SA Zaidi, FM Alotaibi… - Electronics, 2022 - mdpi.com
Breast cancer (BC) is a type of tumor that develops in the breast cells and is one of the most
common cancers in women. Women are also at risk from BC, the second most life …

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 …

Smart android based home automation system using internet of things (IoT)

MA Khan, I Ahmad, AN Nordin, AES Ahmed… - Sustainability, 2022 - mdpi.com
Recently, home automation system has getting significant attention because of the fast and
advanced technology, making daily living more convenient. Almost everything has been …

A hybrid deep learning framework with decision-level fusion for breast cancer survival prediction

NA Othman, MA Abdel-Fattah, AT Ali - Big Data and Cognitive Computing, 2023 - mdpi.com
Because of technological advancements and their use in the medical area, many new
methods and strategies have been developed to address complex real-life challenges …

Multi-objective quantum-inspired seagull optimization algorithm

Y Wang, W Wang, I Ahmad, E Tag-Eldin - Electronics, 2022 - mdpi.com
Objective solutions of multi-objective optimization problems (MOPs) are required to balance
convergence and distribution to the Pareto front. This paper proposes a multi-objective …

Cyber attacks detection through machine learning in banking

MA GILL, N AHMAD, M KHAN, F ASGHAR… - Bulletin of Business …, 2023 - bbejournal.com
Cyberattacks may cause a wide range of problems, from power outages to broken military
equipment to the loss of vital information like patient medical records. Due to the huge …