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 15, 2017 Numéro 4
DOI: 10.1615/IntJMultCompEng.v15.i4
PREFACE: MULTISCALE MODELLING OF MATERIALS AND STRUCTURES, PT. I
v pages
DOI: 10.1615/IntJMultCompEng.v15.i4.10
(n)- AND (n + 1)-LAYERED COMPOSITE SPHERE MODELS FOR THERMO-CHEMO-MECHANICAL EFFECTIVE PROPERTIES
pp. 295-322
DOI: 10.1615/IntJMultCompEng.2017020304
MICRO-MACRO RELATIONSHIPS FROM DISCRETE ELEMENT SIMULATIONS OF SINTERING
pp. 323-342
DOI: 10.1615/IntJMultCompEng.2017020322
ESTIMATION OF MICROMECHANICAL NiAl SINTERING MODEL PARAMETERS FROM THE MOLECULAR SIMULATIONS
pp. 343-358
DOI: 10.1615/IntJMultCompEng.2017020289
ON SOME ASPECTS OF THE MESHLESS FDM APPLICATION FOR THE HETEROGENEOUS MATERIALS
pp. 359-378
DOI: 10.1615/IntJMultCompEng.2017020687
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)