High spectrum compression scheme based on DNN post equalization for multiband quadrature dual‐quaternary coded FTN CAP 49QAM signals in visible light communication system
Sign Up to like & getrecommendations! Published in 2020 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.32412
Abstract: In this article, we utilize the Faster‐Than‐Nyquist (FTN) mechanism combined with the deep neural network (DNN) nonlinear post‐equalization scheme to achieve spectrum compression of the multiband carrierless amplitude phase (CAP) signal in the case of… read more here.
Keywords: system; dnn; ftn cap; spectrum compression ... See more keywords
A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi‐SNR images
Sign Up to like & getrecommendations! Published in 2022 at "Nmr in Biomedicine"
DOI: 10.1002/nbm.4774
Abstract: Extraction of intravoxel incoherent motion (IVIM) parameters from noisy diffusion‐weighted (DW) images using a biexponential fitting model is computationally challenging, and the reliability of the estimated perfusion‐related quantities represents a limitation of this technique. Artificial… read more here.
Keywords: accuracy; deep neural; dnn; ivim ... See more keywords
An automatic hyperparameter optimization DNN model for precipitation prediction
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02507-y
Abstract: Deep neural networks (DNN) have gained remarkable success on many rainfall predictions tasks in recent years. However, the performance of DNN highly relies upon the hyperparameter setting. In order to design DNNs with the best… read more here.
Keywords: dnn; precipitation; hyperparameter optimization; hyperparameter ... See more keywords
SenDemonNet: sentiment analysis for demonetization tweets using heuristic deep neural network
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-022-11929-w
Abstract: Sentiment analysis is one of the efficient models for extracting opinion mining with identification and classification from unstructured text data such as product reviews or microblogs. It is used to gain feedback from political campaigns,… read more here.
Keywords: analysis; dnn; demonetization; sentiment analysis ... See more keywords
Application of machine learning for filtered density function closure in MILD combustion
Sign Up to like & getrecommendations! Published in 2021 at "Combustion and Flame"
DOI: 10.1016/j.combustflame.2020.10.043
Abstract: Abstract A machine learning algorithm, the deep neural network (DNN) 1 , is trained using a comprehensive direct numerical simulation (DNS) dataset to predict joint filtered density functions (FDFs) of mixture fraction and reaction progress… read more here.
Keywords: machine learning; dnn; combustion; mild combustion ... See more keywords
Application of deep neural network (DNN) for experimental liquid-liquid equilibrium data of water + butyric acid + 5-methyl-2-hexanone ternary systems
Sign Up to like & getrecommendations! Published in 2021 at "Fluid Phase Equilibria"
DOI: 10.1016/j.fluid.2021.113094
Abstract: Abstract LLE data are important for simulation and design of extraction equipment. In this study, deep neural network (DNN) structure was proposed for modelling of the ternary liquid-liquid equilibrium (LLE). LLE data of (water +… read more here.
Keywords: neural network; dnn; liquid liquid; deep neural ... See more keywords
Deep neural networks for choice analysis: A statistical learning theory perspective
Sign Up to like & getrecommendations! Published in 2021 at "Transportation Research Part B: Methodological"
DOI: 10.1016/j.trb.2021.03.011
Abstract: While researchers increasingly use deep neural networks (DNN) to analyze individual choices, overfitting and interpretability issues remain as obstacles in theory and practice. By using statistical learning theory, this study presents a framework to examine… read more here.
Keywords: learning theory; dnn; choice analysis; choice ... See more keywords
Predicting Solute Descriptors for Organic Chemicals by a Deep Neural Network (DNN) Using Basic Chemical Structures and a Surrogate Metric.
Sign Up to like & getrecommendations! Published in 2022 at "Environmental science & technology"
DOI: 10.1021/acs.est.1c05398
Abstract: Solute descriptors have been widely used to model chemical transfer processes through poly-parameter linear free energy relationships (pp-LFERs); however, there are still substantial difficulties in obtaining these descriptors accurately and quickly for new organic chemicals.… read more here.
Keywords: surrogate metric; lfer descriptors; organic chemicals; dnn ... See more keywords
Enhancing the Performance of Global Optimization of Platinum Cluster Structures by Transfer Learning in a Deep Neural Network.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c00923
Abstract: The global optimization of metal cluster structures is an important research field. The traditional deep neural network (T-DNN) global optimization method is a good way to find out the global minimum (GM) of metal cluster… read more here.
Keywords: dnn; global optimization; dnn method; cluster ... See more keywords
Scalable hybrid deep neural networks/polarizable potentials biomolecular simulations including long-range effects
Sign Up to like & getrecommendations! Published in 2022 at "Chemical Science"
DOI: 10.1039/d2sc04815a
Abstract: Deep-HP is a scalable extension of the Tinker-HP multi-GPU molecular dynamics (MD) package enabling the use of Pytorch/TensorFlow Deep Neural Network (DNN) models. Deep-HP increases DNNs' MD capabilities by orders of magnitude offering access to… read more here.
Keywords: long range; deep neural; dnn; range ... See more keywords
Learn From Optimal Energy-Efficiency Beamforming for SWIPT-Enabled Sensor Cloud System Based on DNN
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3074390
Abstract: With the explosive increase of the types and quantity of devices in wireless networks, it is necessary to design a fast and energy-efficient decision-making strategy for the resource allocation to maintain the efficient operation of… read more here.
Keywords: system; dnn; swipt; energy ... See more keywords