[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 …
disrupts the lifestyle of affected individuals. Toward develo** novel and efficient …
A hybrid deep learning-based approach for brain tumor classification
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 …
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
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 …
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
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 …
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
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 …
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 …
shortens the average life span of patients. Patients with misdiagnosed and insufficient …
Smart android based home automation system using internet of things (IoT)
Recently, home automation system has getting significant attention because of the fast and
advanced technology, making daily living more convenient. Almost everything has been …
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
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 …
methods and strategies have been developed to address complex real-life challenges …
Multi-objective quantum-inspired seagull optimization algorithm
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 …
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 …
equipment to the loss of vital information like patient medical records. Due to the huge …