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781
Spherical cavity-expansion forcing function in PRONTO 3D for application to penetration problems
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conferenceObject -
782
Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
Published 2021Get full text
doctoralThesis -
783
Condenser capacity and hyperbolic perimeterImage 1
Published 2021“…We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …”
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784
Predicting stability of classes in an object-oriented system
Published 2010“…Many metrics have been proposed to assess these software attributes and for this purpose, prediction models have been widely used. However, in almost all cases, these models were not efficient when used to predict the quality characteristics (stability or other) of new unseen software as their prediction accuracy decreases significantly. …”
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785
Machine Learning-Based Approach for EV Charging Behavior
Published 2021Get full text
doctoralThesis -
786
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787
Data mining approach to predict student's selection of program majors
Published 2019“…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …”
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788
Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters
Published 2021Get full text
doctoralThesis -
789
Condenser capacity and hyperbolic perimeter
Published 2022“…<p dir="ltr">We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …”
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790
Prototype project management tool (PPMT) with cocomo calibration. (c1998)
Published 1998Get full text
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masterThesis -
791
Measuring ripple effect for object-oriented programs. (c2004)
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masterThesis -
792
A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
doctoralThesis -
793
Design and Analysis of Lightweight Authentication Protocol for Securing IoD
Published 2021“…Its security has been verified formally using Random Oracle Model (ROM), ProVerif2.02 and informally using assumptions and pragmatic illustration. …”
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794
Developing an online hate classifier for multiple social media platforms
Published 2020“…Although researchers have found that hate is a problem across multiple platforms, there is a lack of models for online hate detection using multi-platform data. …”
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795
A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published 2021“…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …”
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796
Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic
Published 2020“…The data obtained from the study were analyzed by using the partial least squares structural equation modeling (PLS-SEM) and machine learning algorithms. …”
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797
Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
Published 2015“…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …”
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798
A Multi-Channel Convolutional Neural Network approach to automate the citation screening process
Published 2021“…This study aims to automate the citation screening process using Deep Learning algorithms. With this, it is aimed to reduce the time and costs of the citation screening process and increase the precision and recall of the relevant primary studies. …”
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799
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
Published 2022“…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. The latter is used to draw out load characteristics using daily intent-driven moments of user consumption actions. …”
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800
Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC
Published 2022“…Compared to conventional and state-of-the-art system models, results show the effectiveness of the proposed schemes and provide useful insights into the tradeoffs between the number of completed tasks, energy consumption and monetary cost.…”
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