Simulation-based setting suggestions for yarn winding units to reduce color variation in knitted fabric von Schmeißer, Andre, Bell, Erik G, Gramsch, Simone, Heidenreich, René

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Analysis of the Fiber Laydown Quality in Spunbond Processes with Simulation Experiments Evaluated by Blocked Neural Networks von Gramsch, Simone, Schmeißer, Andre, Sarishvili, Alex

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Three‐dimensional simulation of nonwoven fabrics using a greedy approximation of the distribution of fiber directions von Gramsch, Simone, Kontak, Max, Michel, Volker

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Analysis of the package diameter in winding processes by image analysis and a linear regression model von Gramsch, Simone, Bell, Erik Gordon, Moghiseh, Ali, Schmeißer, Andre

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ILL-POSED EQUATIONS WITH TRANSFORMED ARGUMENT von Gramsch, Simone, Schock, Eberhard

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Aerodynamic web forming: process simulation and material properties von Gramsch, Simone, Klar, Axel, Leugering, Günter, Marheineke, Nicole, Nessler, Christian, Strohmeyer, Christoph, Wegener, Raimund

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Ensight4Matlab: read, process, and write files in EnSight® Gold format from C++ or MATLAB von Schmeißer, Andre, Burkhart, Daniel, Linn, Dominik, Schnebele, Johannes, Ettmüller, Manuel, Gramsch, Simone, Arne, Walter

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Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation von Victor, Viny Saajan, Schmeißer, Andre, Leitte, Heike, Gramsch, Simone

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Machine Learning Optimized Approach for Parameter Selection in MESHFREE Simulations von Banerjee, Paulami, Padmanabha, Mohan, Sanghavi, Chaitanya, Michel, Isabel, Gramsch, Simone

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Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems von Victor, Viny Saajan, Ettmüller, Manuel, Schmeißer, Andre, Leitte, Heike, Gramsch, Simone

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Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks von Gramsch, Simone, Sarishvili, Alex, Schmeißer, Andre

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Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks von Gramsch, Simone, Sarishvili, Alex, Schmeißer, Andre

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Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation von Viny Saajan Victor, Schmeißer, Andre, Leitte, Heike, Gramsch, Simone

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Machine Learning Optimized Approach for Parameter Selection in MESHFREE Simulations von Banerjee, Paulami, Mohan Padmanabha, Sanghavi, Chaitanya, Michel, Isabel, Gramsch, Simone

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FIDYST - An Innovative Simulation Tool for Nonwoven Production Processes: Presentation held at International Nonwovens Symposium in Prague (CZ), June 4, 2015 von Gramsch, Simone

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Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems von Viny Saajan Victor, Ettmüller, Manuel, Schmeißer, Andre, Leitte, Heike, Gramsch, Simone

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Three-dimensional simulation of nonwoven fabrics using a greedy approximation of the distribution of fiber directions von Gramsch, Simone, Kontak, Max, Michel, Volker

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Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks von Gramsch, Simone, Sarishvili, Alex, Schmeißer, Andre

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Three-dimensional simulation of nonwoven fabrics using a greedy approximation of the distribution of fiber directions von Gramsch, Simone, Kontak, Max, Michel, Volker

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Aerodynamic web forming: Process simulation and material properties von Gramsch, Simone, Klar, Axel, Leugering, Günter, Marheineke, Nicole, Nessler, Christian, Strohmeyer, Christoph, Wegener, Raimund

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