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161
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma
Published 2019“…<h3>Background</h3><p dir="ltr">Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. …”
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162
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …”
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163
Plant disease detection using drones in precision agriculture
Published 2023“…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …”
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164
A forward-backward Kalman for the estimation of time-variant channels in OFDM
Published 2005“…In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem-a structure induced by the data and channel constraints. …”
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165
Recovery of business intelligence systems
Published 2018“…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …”
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166
A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
Published 2008“…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …”
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167
An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM
Published 0000“…The algorithm makes a collective use of the data and channel constraints inherent in the communication problem. …”
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168
An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services
Published 2018“…Further, 414 automatic questions are tested on the QA algorithm using two methods, semantics-based and keyword-based. …”
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169
Vehicular-OBUs-As-On-Demand-Fogs
Published 2020“…For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …”
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170
A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System
Published 2016“…The proposed GFT mechanism can be applied to any decision making problem within an uncertain environment. One example would be the determination of CRM performance measurement given a variety of inputs related to marketing, data mining tools, ordered materials and communication.…”
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171
Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization
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172
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
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173
Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier
Published 2021“…Multiple ML algorithms are used to improve decision-making at different aspects after forecasting. …”
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174
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
Published 2022“…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …”
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175
Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4
Published 2025“…Additionally, we devise a rationale generation algorithm that achieves a balance between succinctness and informativeness. …”
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Communications in electronic textile systems
Published 2017“…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …”
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179
Edge intelligence for network intrusion prevention in IoT ecosystem
Published 2023“…The Internet of Things (IoT) platform allows physical devices to connect directly to the internet and upload data continuously. Insecure access makes IoT platforms vulnerable to different network intrusion attacks. …”
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180
Edge intelligence for network intrusion prevention in IoT ecosystem
Published 2023“…<p>The Internet of Things (IoT) platform allows physical devices to connect directly to the internet and upload data continuously. Insecure access makes IoT platforms vulnerable to different network intrusion attacks. …”