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Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Resistance to differential cryptanalysis is a fundamental security requirement for symmetric block ciphers, and recently, deep learning has attracted the interest of cryptography experts, particularly in the field of block ...
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ...
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
© 2013 IEEE. Due to the increasing number of chronic disease patients, continuous health monitoring has become the top priority for health-care providers and has posed a major stimulus for the development of scalable and ...
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ...
A Combined Method for Diabetes Mellitus Diagnosis Using Deep Learning, Singular Value Decomposition, and Self-Organizing Map Approaches
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Diabetes in humans is a rapidly expanding chronic disease and a major crisis in modern societies. The classification of diabetics is a challenging and important procedure that allows the interpretation of diabetic data and ...
A New Dataset for Forged Smartphone Videos Detection: Description and Analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
The advancement of Internet technology has significantly impacted daily life, which is influenced by digital videos taken with smartphones as the most popular type of multimedia. These digital videos are extensively sent ...
Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
(
MDPI
, 2023 , Article)
Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ...
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When ...
Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models from Fetal Echocardiogram: A Pilot Study
(
IEEE
, 2023 , Article)
Congenital heart defects (CHDs) are a leading cause of death in infants under 1 year of age. Prenatal intervention can reduce the risk of postnatal serious CHD patients, but current diagnosis is based on qualitative criteria, ...
Ensemble deep learning for brain tumor detection
(
Frontiers
, 2022 , Article)
With the quick evolution of medical technology, the era of big data in medicine is quickly approaching. The analysis and mining of these data significantly influence the prediction, monitoring, diagnosis, and treatment of ...