Coimbra. Reducing reading time and assessing disease in capsule endoscopy videos: A deep learning approach

The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, offering a safe and minimally invasive visualization of the gastrointestinal tract. One of

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Wuppertal. Deep Smoothness WENO Schemes for Hyperbolic Conservation Laws

My name is Tatiana Kossaczká and I am a PhD student in the Applied and Computational Mathematics Group at the University of Wuppertal. Already during

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Wuppertal. Deep learning-based algorithms for high-dimensional nonlinear backward stochastic differential equations

My name is Lorenc Kapllani and I am a PhD student in the Applied and Computational Mathematics group at the University of Wuppertal. My research

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TOWARDS AN ENVIRONMENTALLY SUSTAINABLE AGRICULTURE: MATHEMATICS AND DEEP LEARNING IN THE FIELD

Alessandro Benfenati, Paola Causin, Roberto Oberti Università degli Studi di Milano Crop protection from diseases through applications of plant protection products is crucial to secure

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KTU Big Data School

Faculty of Mathematics and Natural Sciences (Kaunas University of Technology) kindly invites you to participate in 3 days event “Big Data School 2022″ in Kaunas

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Deep learning as dynamical systems

I am Davide Murari, and I am a first-year PhD student in the group of Differential Equations and Numerical Analysis (DNA) at NTNU. Both my

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PRecision crop protECtion: deep learnIng and data fuSION

Current farming practices require a uniform application of pesticides in order to protect crop plants from pest and disease. These treatments are typically repeated at

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Improved image restoration numerical methods through deep learning

Post by Diogo Lobo I am currently a PhD Student at the Centre for Mathematics of the University of Coimbra (CMUC). I find that the

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A new Tenure track at the Centre for Mathematical Morphology

My name is Samy Blusseau and I started a Tenure track at the Centre for Mathematical Morphology (CMM) of Mines ParisTech in March. I had

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