Results 151 to 160 of about 145,710 (264)

Estimation and optimization of reinforcement parameters for composite material using a machine learning approach. [PDF]

Sci Rep
Dandekar YV, Rajput MS, Kumar RS, Pandey V, Shinde JR, Paliwal S.   +5 more
europepmc   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, EarlyView.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source

Decomposition prediction and optimal ensemble strategy improve river dissolved oxygen prediction accuracy. [PDF]

Sci Rep
Xie Y, Rao Y, Wan J, Huang Q, Lai Q, Lu X, Liu J.   +6 more
europepmc   +1 more source

An Integrated Population Pharmacokinetic and Machine Learning Model for Predicting Tacrolimus Exposure in Adult Patients with Nephrotic Syndrome. [PDF]

Drug Des Devel Ther
Zhou Y, Zhou Z, Chen S, Zhu L, Yun Y, Yuan Y, Chen C, Zou J, Zhao J.   +8 more
europepmc   +1 more source

Corneal and Ocular Aberrations: A Comparative Study of Hyperopic, Emmetropic, and Myopic Eyes. [PDF]

J Ophthalmic Vis Res
Golmakani A, Yazdani N, Jamali J, Ehsaei A.   +3 more
europepmc   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang, Liangfang Liao, Chunfa Liao, Hui Zhang, Tao Qi, Rongxiu Lu, Wenhao Dai   +6 more
wiley   +1 more source

From Experiments to AI: A Comparative Review of Machine Learning Approaches for Predicting Nanofluid Thermophysical Properties. [PDF]

Nanomaterials (Basel)
Al Jadidi S, Moolya R, Padidhapu R, Subramanian S, Moolya S.   +4 more
europepmc   +1 more source

Evaluation of Mechanical Properties of Phase‐Separated Cellulose Filler/Poly(Lactic Acid)/Elastomer Composites via Microstructure‐Informed Physics Simulation and In Situ Synchrotron X‐Ray Micro‐CT

Journal of Applied Polymer Science, EarlyView.
Phase‐separation microstructure and mechanical properties of a ternary biocomposite evaluated by integrated AFM, AFM‐informed FEM, and in situ X‐ray CT. ABSTRACT This study investigates phase‐separated cellulose filler/poly(lactic acid) (PLA)/elastomer ternary composites to enhance the mechanical performance of bioplastics. Atomic force microscopy (AFM)
Yoshiaki Kawagoe, Kazumasa Sasaki, Yuki Takayama, Keiichi Shirasu, Junsei Aoki, Soya Hayashi, Masayuki Omoto, Makoto Kato, Tomonaga Okabe   +8 more
wiley   +1 more source

Transmitter-assisted joint data-aided channel estimation and PAPR reduction scheme in wireless fading channels. [PDF]

Sci Rep
Khan I, Hasan MM, Cheffena M.
europepmc   +1 more source

Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems

Asian Journal of Control, EarlyView.
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi, Omar Naifar, Imed Bouzida   +2 more
wiley   +1 more source