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Results: 6
Corn Disease Detection Based on an Improved YOLOX-Tiny Network Model
In order to detect corn diseases accurately and quickly and reduce the impact of corn diseases on yield and quality, this paper proposes an improved object detection network named YOLOX-Tiny, which fuses convolutional attention...
Published by: IGI Global
Woher kommt die Hyle? Eine Analyse zur Landgrebeschen Antwort
Ying-Chien Yang
Apr 22, 2021
In der vorliegenden Arbeit befasse ich mich mit der Problematik derEmpfindung, bzw. der Hyle, in Husserls Phänomenologie und derentsprechenden Auslegung von Ludwig Landgrebe. Husserl verwendet denBegriff der Empfindung, bzw. der...
Published by: Memorial University of Newfoundland
An Approach to Convert Conventional Laboratories Into IoT-Enabled Laboratories
Practical learning methodologies have become the need of the hour in the education sector, in particular in engineering education, to achieve technical competencies and skills. Advancements in web-based learning strategies have...
Published by: IGI Global
Time-Aware CF and Temporal Association Rule-Based Personalized Hybrid Recommender System
Most recommender systems usually combine several recommendation methods to enhance the recommendation accuracy. Collaborative filtering (CF) is a best-known personalized recommendation technique. While temporal association...
Published by: IGI Global
Circulating proteins to predict COVID-19 severity
Abstract Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4701 circulating human protein abundances...
Chen-Yang Su, Sirui Zhou, Edgar Gonzalez-Kozlova, Guillaume Butler-Laporte, Elsa Brunet-Ratnasingham, Tomoko Nakanishi, Wonseok Jeon, David R Morrison, Laetitia Laurent, Jonathan Afilalo, Marc Afilalo, Danielle Henry, Yiheng Chen, Julia Carrasco-Zanini, Yossi Farjoun, Maik Pietzner, Nofar Kimchi, Zaman Afrasiabi, Nardin Rezk, Meriem Bouab, Louis Petitjean, Charlotte Guzman, Xiaoqing Xue, Chris Tselios, Branka Vulesevic, Olumide Adeleye, Tala Abdullah, Noor Almamlouk, Yara Moussa, Chantal DeLuca, Naomi Duggan, Erwin Schurr, Nathalie Brassard, Madeleine Durand, Diane Marie Del Valle, Ryan Thompson, Mario A Cedillo, Eric Schadt, Kai Nie, Nicole W Simons, Konstantinos Mouskas, Nicolas Zaki, Manishkumar Patel, Hui Xie, Jocelyn Harris, Robert Marvin, Esther Cheng, Kevin Tuballes, Kimberly Argueta, Ieisha Scott, Celia MT Greenwood, Clare Paterson, Michael A Hinterberg, Claudia Langenberg, Vincenzo Forgetta, Joelle Pineau, Vincent Mooser, Thomas Marron, Noam D Beckmann, Seunghee Kim-schulze, Alexander W Charney, Sacha Gnjatic, Daniel E Kaufmann, Miriam Merad, J Brent Richards
Apr 17, 2023
Overview of the DESI Milky Way Survey
Andrew P. Cooper, Sergey E. Koposov, Carlos Allende Prieto, Christopher J. Manser, Namitha Kizhuprakkat, Adam D. Myers, Arjun Dey, Boris T. Gänsicke, Ting S. Li, Constance Rockosi, Monica Valluri, Joan Najita, Alis Deason, Anand Raichoor, M.-Y. Wang, Y.-S. Ting, Bokyoung Kim, Andreia Carrillo, Wenting Wang, Leandro Beraldo e Silva, Jiwon Jesse Han, Jiani Ding, Miguel Sánchez-Conde, Jessica N. Aguilar, Steven Ahlen, Stephen Bailey, Vasily Belokurov, David Brooks, Katia Cunha, Kyle Dawson, Axel de la Macorra, Peter Doel, Daniel J. Eisenstein, Parker Fagrelius, Kevin Fanning, Andreu Font-Ribera, Jaime E. Forero-Romero, Enrique Gaztañaga, Satya Gontcho A Gontcho, Julien Guy, Klaus Honscheid, Robert Kehoe, Theodore Kisner, Anthony Kremin, Martin Landriau, Michael E. Levi, Paul Martini, Aaron M. Meisner, Ramon Miquel, John Moustakas, Jundan J. D. Nie, Nathalie Palanque-Delabrouille, Will J. Percival, Claire Poppett, Francisco Prada, Nabeel Rehemtulla, Edward Schlafly, David Schlegel, Michael Schubnell, Ray M. Sharples, Gregory Tarlé, Risa H. Wechsler, David H. Weinberg, Zhimin Zhou, Hu Zou
Apr 18, 2023
We describe the Milky Way Survey (MWS) that will be undertaken with the Dark Energy Spectroscopic Instrument (DESI) on the Mayall 4 m telescope at the Kitt Peak National Observatory. Over the next 5 yr DESI MWS will observe...
Published by: The American Astronomical Society