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modeling algorithm » scheduling algorithm (Expand Search)
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data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
level modeling » event modeling (Expand Search)
complement » implement (Expand Search), complementary (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
maya algorithm » jaya algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
level modeling » event modeling (Expand Search)
complement » implement (Expand Search), complementary (Expand Search)
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Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol
Published 2018“…Health recommender systems are information-filtering algorithms that can choose the most relevant health-related items—for instance, motivational messages aimed at smoking cessation—for each user based on his or her profile. …”
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123
Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis
Published 2024“…Missing data were imputed with principal component analysis. …”
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124
An automated temporal partitioning and loop fission approach for FPGA based reconfigurable synthesis of DSP applications
Published 2017“…We present an automated temporal partitioning and loop transformation approach for developing dynamically reconfigurable designs starting from behavior level specifications. An Integer Linear Programming (ILP) model is formulated to achieve near-optimal latency designs. …”
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125
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…In the past decade, there has been an increasing need for semantic-aware data search and indexing in textual (structured and NoSQL) databases, as full-text search systems became available to non-experts where users have no knowledge about the data being searched and often formulate query keywords which are different from those used by the authors in indexing relevant documents, thus producing noisy and sometimes irrelevant results. …”
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126
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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127
Joint BS Assignment and End-to-End Scheduling for Wireless Cellular Networks with Heterogeneous Services
Published 2010“…Moreover, we extend the system model to include heterogeneous services with varying quality parameters. …”
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128
Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
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129
A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
Published 2021“…Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.…”
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Data redundancy management for leaf-edges in connected environments
Published 2022“…To address these limitations, we propose here DRMF: Data Redundancy Management for leaF-edges allowing to identify and remove data redundancies in connected environments at the device level. DRMF considers both static and mobile edge devices, and provides two algorithms for temporal and spatio-temporal redundancy detection. …”
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132
A simple approach for testing web service based applications
Published 2005“…In our technique, a web application and its composed components are specified by a two-level abstract model. The web application is represented as Task Precedence Graph (TPG) and the behavior of the composed components is represented as a Timed Labeled Transition System (TLTS). …”
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133
Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…Hence, detecting any act of cyberbullying in an automated manner will be helpful for stakeholders to prevent any unfortunate results from the victim’s perspective. Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …”
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134
SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data
Published 2018“…Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …”
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135
Oversampling techniques for imbalanced data in regression
Published 2024“…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …”
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Blockchain-Based Decentralized Architecture for Software Version Control
Published 2023“…<p dir="ltr">Version control is an important component of configuration management, and most enterprise-level software uses different tools and technologies to manage the software version control such as CVS, Subversion, or Perforce. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…Hence, detecting any act of cyberbullying in an automated manner will be helpful for stakeholders to prevent any unfortunate results from the victim’s perspective. Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …”
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138
Role of authentication factors in Fin-tech mobile transaction security
Published 2023“…In addition, this also ensures the user is legitimate using advanced technologies and algorithms to predict and discover transaction risks and discourage fraudsters from trying.…”
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Novel biomarkers for potential risk stratification of drug induced liver injury (DILI)
Published 2019“…</p><h3>Methods:</h3><p dir="ltr">We explored PUBMED and all other relevant databases for scientific studies that explored potential utility of novel biomarkers of DILI, and subsequently carried out a narrative synthesis of this data. …”
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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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