Browsing by Subject "deep learning"
Now showing items 1-20 of 56
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3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ... -
A Bi-layered parallel training architecture for large-scale convolutional neural networks
( IEEE Computer Society , 2019 , Article)Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. However, the training process of CNNs is very ... -
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ... -
A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images
( MDPI , 2023 , Article)Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is important for the examination and observation of the development of brain disease. In this paper, an eight-layered lightweight ... -
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
( 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 Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
( MDPI , 2022 , Article)Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ... -
A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects
( JMIR Publications , 2022 , Article Review)Background: Machine learning (ML) and deep learning (DL) methods have recently garnered a great deal of attention in the field of cancer research by making a noticeable contribution to the growth of predictive medicine and ... -
A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
( MDPI , 2023 , Article Review)The number of people who suffer from diabetes in the world has been considerably increasing recently. It affects people of all ages. People who have had diabetes for a long time are affected by a condition called Diabetic ... -
Application of Machine Learning Classification Algorithms for Two-Phase Gas-Liquid Flow Regime Identification
( Society of Petroleum Engineers , 2021 , Conference Paper)This research aims to identify the best machine learning (ML) classification techniques for classifying the flow regimes in vertical gas-liquid two-phase flow. Two-phase flow regime identification is crucial for many ... -
Applications of Artificial Intelligence in Philadelphia-Negative Myeloproliferative Neoplasms.
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Philadelphia-negative (Ph-) myeloproliferative neoplasms (MPNs) are a group of hematopoietic malignancies identified by clonal proliferation of blood cell lineages and encompasses polycythemia vera (PV), essential ... -
Artificial Intelligence and Ethics in Dentistry: A Scoping Review
( SAGE Publications Inc. , 2021 , Article)Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of clinical dental practice. However, this revolutionary technological field raises various complex ethical challenges. The ... -
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
( 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 ... -
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
( MDPI , 2021 , Article)Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ... -
BEMD-3DCNN-based method for COVID-19 detection
( Elsevier Ltd , 2022 , Article)The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ... -
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, ... -
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
( MDPI , 2022 , Article)Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. ... -
Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Vehicular Ad hoc Network (VANET) is an enabling technology to provide a variety of convenient services in intelligent transportation systems, and yet vulnerable to various intrusion attacks. Intrusion detection systems ... -
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 ... -
Cybersecurity for next generation healthcare in Qatar
( Hamad bin Khalifa University Press (HBKU Press) , 2021 , Article)Background: IoMT (Internet of Medical Things) devices (often referred to IoMT domain) have the potential to quickly diagnose and monitor patients outside the hospital by transmitting information through the cloud domain ... -
DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment
(2021 , Article)The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation, agriculture, rescue operations, natural environment mapping, and many other allied domains has increased exponentially during the ...