Ligand‐based Modeling for the Prediction of Pharmacophore Features for Multi‐targeted Inhibition of the Arachidonic Acid Cascade
Sign Up to like & getrecommendations! Published in 2018 at "Molecular Informatics"
DOI: 10.1002/minf.201700073
Abstract: The single‐target drugs against the arachidonic acid inflammatory pathway are associated with serious side effects, hence, as a first step towards multi‐target drugs, we have studied the pharmacophoric features common to the inhibitors of 5‐lipoxygenase‐activating… read more here.
Keywords: ligand based; modeling prediction; based modeling; arachidonic acid ... See more keywords
Airframe noise modeling and prediction
Sign Up to like & getrecommendations! Published in 2019 at "CEAS Aeronautical Journal"
DOI: 10.1007/s13272-019-00375-4
Abstract: With the installation on the most recent aircraft of large engines with a bypass ratio of 10–12, the engine noise contribution to the overall aircraft noise was reduced, and airframe noise has now become one… read more here.
Keywords: noise modeling; airframe noise; aircraft; modeling prediction ... See more keywords
Modeling and prediction for optimal Human Resources Management
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DOI: 10.1016/j.ifacol.2020.12.1250
Abstract: Abstract Human resources management is key for the retention and development of quality staff in modern companies. With the advent of big data and the recent boost in computing power, modeling and predictive analytics have… read more here.
Keywords: optimal human; human resources; modeling prediction; resources management ... See more keywords
Deep-Learning Architecture in QSPR Modeling for the Prediction of Energy Conversion Efficiency of Solar Cells
Sign Up to like & getrecommendations! Published in 2020 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.0c03880
Abstract: The efficient and effective design of chemical processes and products heavily relies on the accurate prediction of essential properties. In this work, a deep-learning architecture integrating a bid... read more here.
Keywords: qspr modeling; architecture qspr; modeling prediction; deep learning ... See more keywords
Network Traffic Modeling and Prediction Using Graph Gaussian Processes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230908
Abstract: Traffic modeling and prediction is a vital task for designing efficient resource allocation strategies in telecommunication networks. This is challenging because network traffic data exhibits complex nonlinear spatiotemporal interactions. Moreover, the data can have missing… read more here.
Keywords: traffic modeling; network; modeling prediction; traffic ... See more keywords
Commentary: Statistical Modeling for the Prediction of Infectious Disease Dissemination With Special Reference to COVID-19 Spread
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2021.735857
Abstract: This commentary builds upon the recent study of Subhash Kumar Yadav and Yosuf Akhter entitled “Statistical Modeling for the Prediction of Infectious Disease Dissemination With Special Reference to COVID-19 Spread” published in Frontiers in Public… read more here.
Keywords: modeling prediction; infection; modeling; statistical modeling ... See more keywords
COVID-19: Modeling, Prediction, and Control
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10113666
Abstract: The newly emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, has been recognized as a pandemic by the World Health Organization (WHO) on 11th March 2020. There are many unknowns about… read more here.
Keywords: control; modeling prediction; covid; model ... See more keywords
Adaptive Modeling of Prediction of Telecommunications Network Throughput Performances in the Domain of Motorway Coverage
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DOI: 10.3390/app11083559
Abstract: The main goal of this paper is to create an adaptive model based on multilayer perceptron (MLP) for prediction of average downlink (DL) data throughput per user and average DL data throughput per cell within… read more here.
Keywords: adaptive modeling; throughput; modeling prediction; model ... See more keywords
Neural Networks Modeling for Prediction of Required Resources for Personalized Endourologic Treatment of Urolithiasis
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12050784
Abstract: When scheduling surgeries for urolithiasis, the lack of information about the complexity of procedures and required instruments can lead to mismanagement, cancellations of elective surgeries and financial risk for the hospital. The aim of this… read more here.
Keywords: prediction required; neural networks; modeling prediction; prediction ... See more keywords