Results 41 to 50 of about 27,949,810 (210)

NISAR complementary interferometric phase fusion of S & L band

Discover Geoscience
NASA and the Indian Space Research Organization (ISRO) are collaborating on the Synthetic Aperture Radar (SAR) mission known as NISAR, which was launched on 30 July 2025. It will undergo a 90-day initial phase operation.
Nidhi Chaubey, Sumit Pandey, Swati Upadhyay, B. Asha Rani, Neeraj Mishra, R. Chandrakanth   +5 more
doaj   +1 more source

Heterogeneous Distance Learning Based on Kernel Analysis-Synthesis Dictionary for Semi-Supervised Image to Video Person Re-Identification

IEEE Access, 2020
Image to video person re-identification (IVPR), i.e., matching between pedestrian video and image, is an important task in practice. Although several methods have been presented for IVPR, most of these methods investigate the IVPR problem under the ...
Xiaoke Zhu, Pengfei Ye, Xiao-Yuan Jing, Xinyu Zhang, Xiang Cui, Xiaopan Chen, Fan Zhang   +6 more
doaj   +1 more source

A Framework for Agent-based Human Interaction Support [PDF]

Journal of Systemics, Cybernetics and Informatics, 2008
In this paper we describe an agent-based infrastructure for multimodal perceptual systems which aims at developing and realizing computer services that are delivered to humans in an implicit and unobtrusive way.
Axel Bürkle, Wilmuth Müller, Uwe Pfirrmann, Manfred Schenk   +3 more
doaj  

PERFORMANCE ASSESSMENT AND GEOMETRIC CALIBRATION OF RESOURCESAT-2 [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Resourcesat-2 (RS-2) has successfully completed five years of operations in its orbit. This satellite has multi-resolution and multi-spectral capabilities in a single platform.
P. V. Radhadevi, S. S. Solanki, A. Akilan, M. V. Jyothi, V. Nagasubramanian   +4 more
doaj   +1 more source

IZA/IAB Linked Evaluation Dataset

, 2023
The IZA/IAB Linked Evaluation Dataset 1993-2010 was created in the context of the research project trying to obtain reliable estimates for the impact of active labor market policies (ALMP) and understand why and how programs work or not.In cooperation ...
Schmucker, Alexandra, Eberle, Johanna, Mahlstedt, Robert   +2 more
core   +1 more source

BFEA: A SAR Ship Detection Model Based on Attention Mechanism and Multiscale Feature Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the advancements in deep learning and synthetic aperture radar (SAR) technology, an increasing number of individuals are utilizing deep-learning techniques to detect ships in SAR images.
Liming Zhou, Ziye Wan, Shuai Zhao, Hongyu Han, Yang Liu   +4 more
doaj   +1 more source

SWDet: Anchor-Based Object Detector for Solid Waste Detection in Aerial Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
As we all know, waste pollution is one of the most serious environmental issues in the world. Efficient detection of solid waste (SW) in aerial images can improve subsequent waste classification and automatic sorting on the ground.
Liming Zhou, Xiaohan Rao, Yahui Li, Xianyu Zuo, Yang Liu, Yinghao Lin, Yong Yang   +6 more
doaj   +1 more source

Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities

Remote Sensing
Addressing global warming and adapting to the impacts of climate change is a primary focus of climate change adaptation strategies at both European and national levels.
Katja Kustura, David Conti, Matthias Sammer, Michael Riffler   +3 more
doaj   +1 more source

Cloud-SPAN/genomics05-data-processing-analysis:

, 2021
Data Processing ...
Gregg TeHennepe, Vasilis Lenis, Karen Cranston, Erin Alison Becker, Winni Kretzschmar, Kevin Weitemier, Fotis Psomopoulos, Tracy Teal, François Michonneau, Gaius Augustus, Rayna Michelle Harris, Lex Nederbragt, Anita Schürch, Jessica Elizabeth Mizzi, Kari L Jordan, Ahmed R. Hasan, Luis Avila, Kate Crosby, Taylor Reiter, Aniello Infante, dbmarchant, Tessa Pierce, Jason Williams, Adam Thomas, Sheldon John McKay, Ryan Peek, Toby Hodges, Peter R. Hoyt, Dev Paudel, Sheldon McKay   +29 more
core   +1 more source

Effective data pre-processing for AutoML [PDF]

, 2021
Data pre-processing plays a key role in a data analytics process (e.g., supervised learning). It encompasses a broad range of activities that span from correcting errors to selecting the most relevant features for the analysis phase.
Giovanelli, Joseph, Giovanelli J., Abelló Gamazo, Alberto, Bilalli B., Bilalli, Besim, Abello A.   +5 more
core   +1 more source