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Archives - Page 106
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Vedic Computing: A Computing Discipline inspired by Vedic Mathematics
CRS KUMAR
DOI:
https://doi.org/10.31224/3577
Vedic Mathematics
Machine Learning
Pattern Recognition
Algorithm Design
Optimization Techniques
Feature Engineering
Cryptography
Computer Vision
Downloads: 670
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Submitted 2024-03-03 - Posted 2024-03-05
PDF
Evaluation of patellar contact pressure changes after static versus dynamic medial patellofemoral ligament reconstructions using a finite element model
Vicente Sanchís-Alfonso, Gerard Ginovart, Diego Alastruey-López, Erik Montesinos-Berry, Joan Carles Monllau, Angel Alberich-Bayarri, María Ángeles Pérez
DOI:
https://doi.org/10.31224/3582
MPFL reconstruction
Finite element method
patellar contact pressure
patellar cartilage degeneration after MPFL reconstruction
Downloads: 119
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Submitted 2024-03-04 - Posted 2024-03-04
PDF
High- and low-viscosity cement for osteoporotic femoral augmentation: A computational subject-specific approach
Samuel Ramos-Infante, María Ángeles Pérez
DOI:
https://doi.org/10.31224/3581
High- and low viscosity cement
femoroplasty
healthy and osteoporotic models of femurs
finite elemet analysis
fracture load
Downloads: 149
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Submitted 2024-03-04 - Posted 2024-03-04
PDF
Im2mesh: a python library to reconstruct 3D meshes from scattered data and 3D segmentations. Application to patient-specific neuroblastoma tumour image sequences
Diego Sainz-DeMena, José Manuel García-Aznar, María Ángeles Pérez, Carlos Borau
DOI:
https://doi.org/10.31224/3580
Python library
mesh generation
slice interpolation
medical image
patient-specific
computational modeling
Downloads: 149
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Submitted 2024-03-03 - Posted 2024-03-04
PDF
A finite element based optimization algorithm to include diffusion into the analysis of DCE‑MRI
Diego Sainz-DeMena, Wenfeng Ye, María Ángeles Pérez, José Manuel García-Aznar
DOI:
https://doi.org/10.31224/3579
Finite element method
inverse analysis
Pharmacokinetic modelling
Magnetic resonance imaging
Downloads: 132
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Submitted 2024-03-03 - Posted 2024-03-04
PDF
Exploring the potential of Physics-Informed Neural Networks to extract vascularization data from DCE-MRI in the presence of diffusion
Diego Sainz-DeMena, María Ángeles Pérez, José Manuel García-Aznar
DOI:
https://doi.org/10.31224/3578
Physics-Informed Neural Networks
DCE-MRI
Inverse problems
Extended Tofts Model
Downloads: 120
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Submitted 2024-03-03 - Posted 2024-03-04
PDF
Optimization of column layouts in buildings considering structural and architectural constraints
Yakov Zelickman, Oded Amir
DOI:
https://doi.org/10.31224/2723
Concrete floors
Structural Optimization
Columns layout
Structural Engineering
Downloads: 994
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Submitted 2022-12-09 - Posted 2024-03-04
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Versions: 3
PDF
Supplementary Material
Applications of Vedic Mathematics for Machine Learning
CRS KUMAR
DOI:
https://doi.org/10.31224/3574
Vedic Mathematics
Machine Learning
Pattern Recognition
Algorithm Design
Optimization Techniques
Feature Engineering
Downloads: 725
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Submitted 2024-03-01 - Posted 2024-03-01
PDF
A proposal for dividing the application to add user functions
Yoji Yamato
DOI:
https://doi.org/10.31224/3573
Environment-adaptive software
General-purpose programs
Function addition
Automatic division
Dynamic analysis
Downloads: 141
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Submitted 2024-02-29 - Posted 2024-03-01
PDF
Enhancing Motor Learning in Cycling Tasks: The Role of Model Predictive Control and Training Sequence
Leila Alizadehsaravi, Simonas Drauksas, Jason K. Moore, Riender Happee, Laura Marchal-Crespo
DOI:
https://doi.org/10.31224/3572
Downloads: 335
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Submitted 2024-02-29 - Posted 2024-02-29
PDF
Crashworthiness of the Flying-V Aircraft Concept with Vertical Drop Test Simulations
Marco Desiderio, Michiel Schuurman, René Alderliesten, Saullo G. P. Castro
DOI:
https://doi.org/10.31224/3034
crashworthiness
aircraft design
unconventional aircraft
flying wings
Flying-V
Downloads: 648
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Submitted 2023-06-06 - Posted 2024-02-28
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Versions: 3
PDF
Unleashing the Potential of Aerial RISs in Post-Disaster Scenarios
Maurilio Matracia, Mustafa Kishk, Mohamed-Slim Alouini
DOI:
https://doi.org/10.31224/3569
RIS
post-disaster communications
Coverage probability
Downloads: 187
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Submitted 2024-02-27 - Posted 2024-02-28
PDF
To Centralize or Decentralize? Examining Cyber-Physical Control on the Manufacturing Shop Floor
Akash Agrawal, Sung Jun Won, Tushar Sharma, Mayuri Deshpande, Christopher McComb
DOI:
https://doi.org/10.31224/3567
Reinforcement Learning
Multi-agent systems
Intelligent Manufacturing
Autonomous mobile robots
Job scheduling
Downloads: 325
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Submitted 2024-02-24 - Posted 2024-02-26
PDF
Quantitative structure-property relations for polyester materials via statistical learning
Stephen McCoy, Damilola Ojedeji, Brendan Abolins, Cameron Brown, Manolis Doxastakis, Ioannis Sgouralis
DOI:
https://doi.org/10.31224/3565
qspr
polymer
glass transition temperature
Viscosity
bayesian machine learning
Statistical Learning
Downloads: 230
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Submitted 2024-02-22 - Posted 2024-02-26
PDF
Effects of interfacial debonding on the stability of finitely strained periodic microstructured elastic composites
Andrea Pranno, Fabrizio Greco, Raimondo Luciano
DOI:
https://doi.org/10.31224/3564
highly deformable layered composites
nonlinear homogenization
large deformation contact mechanics
instability
nonlinear cohesive model
Downloads: 274
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Submitted 2024-02-22 - Posted 2024-02-22
PDF
A tutorial on the TT&C for Space Missions
Andrea Modenini, Barbara Ripani
DOI:
https://doi.org/10.31224/2646
TT&C
Telemetry
Telecommand
Satellite communication
Downloads: 5066
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Submitted 2022-10-28 - Posted 2024-02-21
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Versions: 2
PDF
Comparative Life Cycle Analysis of Bio-Oil Produced by Pyrolysis of Wood and Cotton Waste
Tamshi Amir
DOI:
https://doi.org/10.31224/3562
Downloads: 0
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Submitted 2024-02-21 - Posted 2024-02-21
DOCX
Segmentation of shot peening patterns using k-means clustering
Vladislav Sushitskii, Hong Yan Miao, Martin Lévesque, Frédérick Gosselin
DOI:
https://doi.org/10.31224/2434
Clustering
Filtering
k-means
Optimization
Modeling
Peen forming
Downloads: 343
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Submitted 2022-06-26 - Posted 2024-02-21
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Versions: 2
PDF
Simulation and automation of aluminum panel shot peen forming
Vladislav Sushitskii, Pierre-Olivier Dubois, Hong Yan Miao, Martin levesque, Frederick Gosselin
DOI:
https://doi.org/10.31224/osf.io/cuhdr
Automation
Eigenstrains
Modeling
Non-Euclidean plates
Optimization
Shot peen forming
Downloads: 981
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Submitted 2022-01-15 - Posted 2024-02-21
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Versions: 3
PDF
Impact properties of an end of life tires' rubber. Numerical validation considering large strain and strain rate conditions
Joaquín González-Vega, Germán Castillo-López, Felipe García-Sánchez
DOI:
https://doi.org/10.31224/3560
End-of-life tires (ELTs)
Rubber numerical analysis
Nonlinear viscoelastic models
Numerical rubber model validation
Bergtröm-Boyce model
Downloads: 201
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Submitted 2024-02-19 - Posted 2024-02-20
PDF
Embracing Environmentalism By Assessing The Sustainability and Adoption Of Biomass As Boiler Fuel In The Manufacturing Industry
Ruhiya Abubakar, Naana Tetebea Oyirifi, Emmanuel Kwame Effah, Nana Agyeman Prempeh, Amevi Acakpovi
DOI:
https://doi.org/10.31224/3557
Sustainability
Biomass
Boiler
Environmentalism
Renewable
Carbon Emissions
Downloads: 0
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Submitted 2024-02-18 - Posted 2024-02-19
DOCX
An initial study of automatic software division for environmental adaptation
Yoji Yamato
DOI:
https://doi.org/10.31224/3486
Environment-adaptive software
General-purpose programs
Function addition
Automatic division
Dynamic analysis
Downloads: 319
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Submitted 2024-01-18 - Posted 2024-02-19
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Versions: 3
PDF
Hierarchical bioinspired architected materials and structures
Alessandro Stagni, Ludovico Musenich, Flavia Libonati
DOI:
https://doi.org/10.31224/2655
Hierachy
bioinspired
lattice
architected materials
structural hetorigeneity
multifunctionality
FEM
3D printing
Downloads: 1358
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Submitted 2022-11-04 - Posted 2024-02-15
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Versions: 2
PDF
Supporting Information
Linearisation of Digital-to-Analog Converters by Model Predictive Control
Bikash Adhikari, Raymond van der Rots, John Leth, Arnfinn Eielsen
DOI:
https://doi.org/10.31224/3551
Model Predictive Control
digital analogue conversion
Downloads: 209
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Submitted 2024-02-14 - Posted 2024-02-14
PDF
Empirical Models for Predicting Two-Stage Light Gas Gun Muzzle Velocity
Max Murtaugh, Jacob A. Rogers, Douglas Allaire, Thomas E. Lacy, Jr.
DOI:
https://doi.org/10.31224/3433
two-stage light gas gun (2SLGG)
aeroballistic range
hypervelocity impact
regression
neural network
empirical model
Downloads: 1054
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Submitted 2024-01-02 - Posted 2024-02-14
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Versions: 3
PDF
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