A Smart Visual Sensing Concept Involving Deep Learning for a Robust Optical Character Recognition under Hard Real-World Conditions by Kabeh Mohsenzadegan, Vahid Tavakkoli, Kyandoghere Kyamakya

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A Visual Sensing Concept for Robustly Classifying House Types through a Convolutional Neural Network Architecture Involving a Multi-Channel Features Extraction by Vahid Tavakkoli, Kabeh Mohsenzadegan, Kyandoghere Kyamakya

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A Deep-Learning Based Visual Sensing Concept for a Robust Classification of Document Images under Real-World Hard Conditions by Kabeh Mohsenzadegan, Vahid Tavakkoli, Kyandoghere Kyamakya

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Deep Neural Network Concept for a Blind Enhancement of Document-Images in the Presence of Multiple Distortions by Kabeh Mohsenzadegan, Vahid Tavakkoli, Kyandoghere Kyamakya

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A Novel Recurrent Neural Network-Based Ultra-Fast, Robust, and Scalable Solver for Inverting a “Time-Varying Matrix” by Vahid Tavakkoli, Jean Chamberlain Chedjou, Kyandoghere Kyamakya

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Contribution to Speeding-Up the Solving of Nonlinear Ordinary Differential Equations on Parallel/Multi-Core Platforms for Sensing Systems by Vahid Tavakkoli, Kabeh Mohsenzadegan, Jean Chamberlain Chedjou, Kyandoghere Kyamakya

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A Comprehensive “Real-World Constraints”-Aware Requirements Engineering Related Assessment and a Critical State-of-the-Art Review of the Monitoring of Humans in Bed by Kyandoghere Kyamakya, Vahid Tavakkoli, Simon McClatchie, Maximilian Arbeiter, Bart G. Scholte van Mast

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Deformation twins as a probe for tribologically induced stress states by Antje Dollmann, Christian Kübel, Vahid Tavakkoli, Stefan J. Eder, Michael Feuerbacher, Tim Liening, Alexander Kauffmann, Julia Rau, Christian Greiner

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