International Journal for Multiscale Computational Engineering
Выходит 6 номеров в год
ISSN Печать: 1543-1649
ISSN Онлайн: 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
Том 12, 2014 Выпуск 4
DOI: 10.1615/IntJMultCompEng.v12.i4
NONLINEAR MULTISCALE HOMOGENIZATION OF CARBON NANOTUBE REINFORCED COMPOSITES WITH INTERFACIAL SLIPPAGE
pp. 271-289
DOI: 10.1615/IntJMultCompEng.2014007258
EFFICIENT FATIGUE SIMULATION USING PERIODIC HOMOGENIZATION WITH MULTIPLE TIME SCALES
pp. 291-318
DOI: 10.1615/IntJMultCompEng.2014010036
MULTISCALE MODELING FOR STOCHASTIC FOREST DYNAMICS
pp. 319-329
DOI: 10.1615/IntJMultCompEng.2014010276
SOME GENERAL REPRESENTATIONS IN THERMOPERISTATICS OF RANDOM STRUCTURE COMPOSITES
pp. 331-350
DOI: 10.1615/IntJMultCompEng.2014010354
THREE-DIMENSIONAL TOPOGRAPHY EVOLUTION ALGORITHM FOR ION BEAM ETCHING PROCESS
pp. 351-360
DOI: 10.1615/IntJMultCompEng.2014010761
Последний выпуск
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
Статьи, принятые к публикации
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)