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Deep Reinforcement Learning for Efficient Uplink NOMA SWIPT Transmissions
(2021 , Master Thesis)A key rival technology in radio access strategies for next generation cellular communications is non-orthogonal multiple access (NOMA) due to its enhanced performance compared to existing multiple access techniques such ... -
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
( IEEE Computer Society , 2022 , Article)Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ... -
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
( IEEE Computer Society , 2022 , Article)Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ... -
Deep Reinforcement Learning for Real-Time Trajectory Planning in UAV Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Proceedings)In Unmanned Aerial Vehicle (UAV)-enabled wireless powered sensor networks, a UAV can be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and collect the sensory data. This paper focuses on ... -
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario intending to maximize the sum-rate of users. The optimization problem at the IRS is quite ... -
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Reservoir Computing (RC) is well-suited for simpler sequential tasks which require inexpensive, rapid training, and the Echo State Network (ESN) plays a significant role in RC. In this article, we proposed variations of ... -
Deep Semantic Segmentation and Multi-Class Skin Lesion Classification Based on Convolutional Neural Network
( IEEE , 2020 , Article)Skin cancer is developed due to abnormal cell growth. These cells are grown rapidly and destroy the normal skin cells. However, it's curable at an initial stage to reduce the patient's mortality rate. In this article, the ... -
Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey
( Elsevier Ltd , 2022 , Article Review)Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential role in controlling and slowing down the spread of the virus in smart cities. To ensure the respect of SD in public areas, visual SD ... -
Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning
( IEEE Computer Society , 2019 , Conference Paper)Mobile crowdsourcing has become easier thanks to the widespread of smartphones capable of seamlessly collecting and pushing the desired data to cloud services. However, the success of mobile crowdsourcing relies on balancing ... -
DeepAutoD: Research on Distributed Machine Learning Oriented Scalable Mobile Communication Security Unpacking System
( IEEE Computer Society , 2022 , Article)The rapid growth of Android smart phones and abundant applications (Apps), a new security solution for distributed computing and mobile communications, has prompted many enhanced vendors to use different methods to effectively ... -
DeepWTPCA-L1: A New Deep Face Recognition Model Based on WTPCA-L1 Norm Features
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In this paper, we propose a robust face recognition model called DeepWTPCA-L1 using WTPCA-L1 features and a CNN-LSTM architecture. First, WTPCA-L1 algorithm, composed of Three-level decomposition of discrete wavelet transform ... -
Defect based deterioration model for sewer pipelines using bayesian belief networks
( Canadian Science Publishing , 2017 , Article)A defect based deterioration model to determine the condition ratings in a probabilistic manner for sewer pipelines is presented in this paper. Bayesian belief network (BBN) is used to develop a static model using probabilities ... -
Defect based risk assessment model for prioritizing inspection of sewer pipelines
( American Society of Civil Engineers (ASCE) , 2018 , Conference Paper)In presence of financial constraints and dire need for inspecting deteriorated sewer pipelines, inspection prioritization tools are required. This paper presents a defect based risk assessment model for prioritizing ... -
Defect deconvolution using 3rd order statistics for Ultrasonic Nondestructive Testing
( IEEE , 2007 , Conference Paper)Ultrasonic nondestructive testing (NDT) is primarily based upon the detection and classification of a defect in the field of industrial materials. This information is useful in making administrative decisions in terms of ... -
Defect Deconvolution using 4th Order Statistics for Ultrasonic Nondestructive Testing
( IEEE , 2007 , Conference Paper)Classification of defects using ultrasonic nondestructive testing (NDT) is primarily done in the field of industrial materials to provide useful information in order to assist in making administrative decisions in terms ... -
Defect-based ArcGIS tool for prioritizing inspection of sewer pipelines
( American Society of Civil Engineers (ASCE) , 2018 , Article)This paper presents a defect-based model for assessing risk of failure for sewer pipelines. The proposed model deploys a Sugeno fuzzy inference system to create a risk index from which inspection and replacement activities ... -
Defect-Based Condition Assessment Model for Sewer Pipelines Using Fuzzy Hierarchical Evidential Reasoning
( American Society of Civil Engineers (ASCE) , 2021 , Article)Assessing the condition of sewer pipelines is essential for addressing associated problems as a result of deterioration to maintain functionality and avoid additional social costs. This paper presents the development of a ... -
Defective Interaction of Cam with RyR2 Cam-Binding Pocket Might Contribute to Arrhythmogenic Cardiac Disease
( Elsevier , 2020 , Article)Ryanodine receptor 2 (RyR2) is a large transmembrane calcium (Ca2+) release channel that mediates Ca2 release from the sarcoplasmic reticulum to activate cardiac muscle contraction. Calmodulin (CaM) regulation of RyR2 is ... -
DEFECTIVE NATURAL KILLER CELLS IN MELANOMA: ROLE OF NKG2D IN THE PATHOGENESIS AND IMMUNOTHERAPY
( Begell House , 2021 , Article)Melanoma is the most aggressive and deadliest form of skin cancer, and its prognosis is very poor. While the early detection is responsive to many treatments, metastatic melanoma is refractory to most of them. In the USA, ... -
DEFENSE STRATEGY OF QATAR 2013-2020
(2023 , Master Thesis)Instability in some parts of the world impacts governments in many aspects, particularly in defense, foreign policy, and economic strategies. Governments should identify threats and challenges to the state in tandem with ...