A Silicon Photonic 32-Input Coherent Combiner for Turbulence Mitigation in Free Space Optics Links

Autor: De Marinis, Lorenzo, Kincaid, Peter Seigo, Lucas, Yann, Krafft, Lea, Michau, Vincent, Cherchi, Matteo, Karppinen, Mikko, Contestabile, Giampiero

A photonic integrated circuit (PIC) for the coherent combination of 32 input optical signals into a single output fiber is reported. The PIC was fabricated using a low-loss thick silicon-on-insulator (SOI) process and packaged with 32 input and 1 out

Externí odkaz: http://arxiv.org/abs/2406.02076

Advancing hyperspectral imaging techniques for root systems: a new pipeline for macro- and microscale image acquisition and classification

Autor: Corine Faehn, Grzegorz Konert, Markku Keinänen, Katja Karppinen, Kirsten Krause

Publikováno v: Plant Methods, Vol 20, Iss 1, Pp 1-17 (2024)

Abstract Background Understanding the environmental impacts on root growth and root health is essential for effective agricultural and environmental management. Hyperspectral imaging (HSI) technology provides a non-destructive method for detailed ana

Externí odkaz: https://doaj.org/article/754f5731b90145a4805377f7c8786bbe

European pollen reanalysis, 1980–2022, for alder, birch, and olive

Autor: Mikhail Sofiev, Julia Palamarchuk, Rostislav Kouznetsov, Tamuna Abramidze, Beverley Adams-Groom, Célia M. Antunes, Arturo H. Ariño, Maximilian Bastl, Jordina Belmonte, Uwe E. Berger, Maira Bonini, Nicolas Bruffaerts, Jeroen Buters, Paloma Cariñanos, Sevcan Celenk, Valentina Ceriotti, Athanasios Charalampopoulos, Yolanda Clewlow, Bernard Clot, Aslog Dahl, Athanasios Damialis, Concepción De Linares, Letty A. De Weger, Lukas Dirr, Agneta Ekebom, Yalda Fatahi, María Fernández González, Delia Fernández González, Santiago Fernández-Rodríguez, Carmen Galán, Björn Gedda, Regula Gehrig, Carmi Geller Bernstein, Nestor Gonzalez Roldan, Lukasz Grewling, Lenka Hajkova, Risto Hänninen, François Hentges, Juha Jantunen, Evgeny Kadantsev, Idalia Kasprzyk, Mathilde Kloster, Katarzyna Kluska, Mieke Koenders, Janka Lafférsová, Poliana Mihaela Leru, Agnieszka Lipiec, Maria Louna-Korteniemi, Donát Magyar, Barbara Majkowska-Wojciechowska, Mika Mäkelä, Mirjana Mitrovic, Dorota Myszkowska, Gilles Oliver, Pia Östensson, Rosa Pérez-Badia, Krystyna Piotrowska-Weryszko, Marje Prank, Ewa Maria Przedpelska-Wasowicz, Sanna Pätsi, F. Javier Rodríguyez Rajo, Hallvard Ramfjord, Joanna Rapiejko, Victoria Rodinkova, Jesús Rojo, Luis Ruiz-Valenzuela, Ondrej Rybnicek, Annika Saarto, Ingrida Sauliene, Andreja Kofol Seliger, Elena Severova, Valentina Shalaboda, Branko Sikoparija, Pilvi Siljamo, Joana Soares, Olga Sozinova, Anders Stangel, Barbara Stjepanović, Erik Teinemaa, Svyatoslav Tyuryakov, M. Mar Trigo, Andreas Uppstu, Mart Vill, Julius Vira, Nicolas Visez, Tiina Vitikainen, Despoina Vokou, Elżbieta Weryszko-Chmielewska, Ari Karppinen

Publikováno v: Scientific Data, Vol 11, Iss 1, Pp 1-19 (2024)

Abstract The dataset presents a 43 year-long reanalysis of pollen seasons for three major allergenic genera of trees in Europe: alder (Alnus), birch (Betula), and olive (Olea). Driven by the meteorological reanalysis ERA5, the atmospheric composition

Externí odkaz: https://doaj.org/article/a2af37d3efa64adba2c4076fd1067b93

A direct proof of existence of weak solutions to fully anisotropic and inhomogeneous elliptic problems

Autor: Chlebicka, Iwona, Karppinen, Arttu, Li, Ying

We provide a direct proof of existence and uniqueness of weak solutions to a broad family of strongly nonlinear elliptic equations with lower order terms. The leading part of the operator satisfies general growth conditions settling the problem in th

Externí odkaz: http://arxiv.org/abs/2303.08570

A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning

Autor: Kowlagi, Narasimharao, Nguyen, Huy Hoang, McSweeney, Terence, Saarakkala, Simo, määttä, Juhani, Karppinen, Jaro, Tiulpin, Aleksei

This paper addresses the challenge of grading visual features in lumbar spine MRI using Deep Learning. Such a method is essential for the automatic quantification of structural changes in the spine, which is valuable for understanding low back pain.

Externí odkaz: http://arxiv.org/abs/2210.14597