International Journal for Multiscale Computational Engineering
Publication de 6 numéros par an
ISSN Imprimer: 1543-1649
ISSN En ligne: 1940-4352
IF:
1.4
5-Year IF:
1.3
Immediacy Index:
2.2
Eigenfactor:
0.00034
JCI:
0.46
SJR:
0.333
SNIP:
0.606
CiteScore™::
3.1
H-Index:
31
Indexed in
Volume 14, 2016 Numéro 5
DOI: 10.1615/IntJMultCompEng.v14.i5
COMPUTATIONAL CONTINUA FOR THICK ELASTIC LAYERED STRUCTURES
pp. 439-454
DOI: 10.1615/IntJMultCompEng.2016017568
INCORPORATING LOCAL EFFECTS IN THE PREDICTOR STEP OF THE ITERATIVE GLOBAL-LOCAL ANALYSIS OF BEAMS
pp. 455-477
DOI: 10.1615/IntJMultCompEng.2016016592
FINITE VOLUME NUMERICAL SOLVERS FOR NON-LINEAR ELASTICITY IN HETEROGENEOUS MEDIA
pp. 479-488
DOI: 10.1615/IntJMultCompEng.2016018617
MIXED-DIMENSIONAL COUPLING VIA AN EXTENDED DIRICHLET-TO-NEUMANN METHOD
pp. 489-513
DOI: 10.1615/IntJMultCompEng.2016018551
THE METHOD OF FAILURE PATHS FOR REDUCED-ORDER COMPUTATIONAL HOMOGENIZATION
pp. 515-534
DOI: 10.1615/IntJMultCompEng.2016018702
Dernier numéro
MULTISCALE MECHANOBIOLOGICAL MODELING OF THE CORTICAL/SPONGY INTERFACE USING FINITE ELEMENTS
FAST FOURIER TRANSFORM METHOD FOR PERIDYNAMIC BAR OF PERIODIC STRUCTURE
THERMODYNAMICS ANALYSIS OF CASSON HYBRID NANOFLUID FLOW OVER A POROUS RIGA PLATE WITH SLIP EFFECT
DIAGNOSIS OF KIDNEY CYST, TUMOR AND STONE FROM CT SCAN IMAGESUSING FEATURE FUSION HYPERGRAPH CONVOLUTIONAL NEURAL NETWORK (F2HCN2)
COMPUTATIONAL FRAMEWORK FOR PREDICTION OF CARDIAC DISORDERS BY ANALYZING ECG SIGNALS USING MACHINE LEARNING TECHNIQUE
EFFICIENT SEGMENTATION MODEL USING MRI IMAGES AND DEEP LEARNING TECHNIQUES FOR MULTIPLE SCLEROSIS CLASSIFICATION
Prochains articles
Multiscale 3D TransUNet-aided Tumor Segmentation and Multi-Cascaded Model for Lung Cancer Diagnosis System from 3D CT Images with Fused Feature Pool Formation
Fine-tuning MobileNetV3 with different weight optimization algorithms for classification of denoised blood cell images using convolutional neural network
A Comparative Biomechanical Analysis of Posterior Lumbar Interbody Fusion Constructs with Four Established Scenarios
Computational Biomedical Framework Using IoT and MR for Detecting, Tracking and Preventing Asymptomatic COVID-19 Patients
COMPUTATIONAL FRAMEWORK FOR PREDICTION OF CARDIAC DISORDERS BY ANALYZING ECG SIGNALS USING MACHINE LEARNING TECHNIQUE
Thermodynamics analysis of Casson hybrid nanofluid flow over a porous Riga plate with slip effect
Diagnosis of kidney cyst, tumor and stone from CT scan images using feature fusion hypergraph convolutional neural network (F2HCN2)