[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 …
[HTML][HTML] 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 robust MRI-based brain tumor classification via a hybrid deep learning technique
The brain is the most vital component of the neurological system. Therefore, brain tumor
classification is a very challenging task in the field of medical image analysis. There has …
classification is a very challenging task in the field of medical image analysis. There has …
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 …
[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 …
shortens the average life span of patients. Patients with misdiagnosed and insufficient …
[HTML][HTML] A novel decentralized blockchain architecture for the preservation of privacy and data security against cyberattacks in healthcare
Nowadays, in a world full of uncertainties and the threat of digital and cyber-attacks,
blockchain technology is one of the major critical developments playing a vital role in the …
blockchain technology is one of the major critical developments playing a vital role in the …
[HTML][HTML] Classification framework for medical diagnosis of brain tumor with an effective hybrid transfer learning model
Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the
world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require …
world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require …
[HTML][HTML] 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 …
[HTML][HTML] A deep learning-based approach for the diagnosis of acute lymphoblastic leukemia
A Saeed, S Shoukat, K Shehzad, I Ahmad… - Electronics, 2022 - mdpi.com
Leukemia is a deadly disease caused by the overproduction of immature white blood cells
(WBS) in the bone marrow. If leukemia is detected at the initial stages, the chances of …
(WBS) in the bone marrow. If leukemia is detected at the initial stages, the chances of …