Results 71 to 80 of about 3,308,732 (333)
Vision Transformers for Remote Sensing Image Classification
In this paper, we propose a remote-sensing scene-classification method based on vision transformers. These types of networks, which are now recognized as state-of-the-art models in natural language processing, do not rely on convolution layers as in ...
Y. Bazi +4 more
semanticscholar +1 more source
ABSTRACT Mutations in myelin regulatory factor (MYRF) are linked to demyelinating disorders. We report a 38‐year‐old male who developed acute symmetric leukoencephalopathy mimicking a stroke following an influenza A virus infection. While clinical symptoms markedly improved with corticosteroids, MRI revealed persistent white matter lesions, contrasting
Jinghan Hu +5 more
wiley +1 more source
VARIABILITY OF ATMOSPHERIC CO2 OVER INDIA AND SURROUNDING OCEANS AND CONTROL BY SURFACE FLUXES [PDF]
In the present study, seasonal and inter-annual variability of atmospheric CO2 concentration over India and surrounding oceans during 2002–2010 derived from Atmospheric InfrarRed Sounder observation and their relation with the natural flux ...
R. K. Nayak +4 more
doaj +1 more source
Thirty Years of Change in the Land Use and Land Cover of the Ziz Oases (Pre-Sahara of Morocco) Combining Remote Sensing, GIS, and Field Observations [PDF]
Ahmed Karmaoui +6 more
openalex +1 more source
A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges
Water pollution has become one of the most serious issues threatening water environments, water as a resource and human health. The most urgent and effective measures rely on dynamic and accurate water quality monitoring on a large scale.
Haibo Yang +5 more
semanticscholar +1 more source
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
Deep Learning Based Land Use Land Cover Classification On Multi-Sensor Remote Sensing Data [PDF]
Accurate Land Use Land Cover (LULC) classification is critical to monitor urban expansion, resource planning, and environmental planning. This research investigates the combination of multi-modal remote sensing data—optical (Sentinel-2, PRISMA ...
Advaith C A +4 more
doaj +1 more source
ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick +14 more
wiley +1 more source
3DITA – A 3D Benchmark Dataset for Nagara-Style Indian Temple Architecture: India’s First Point Cloud Dataset for Semantic Segmentation [PDF]
The rapid advancement of deep learning (DL) methods for point cloud processing has significantly increased the demand for large, diverse, and annotated datasets to improve model performance across various applications.
M. Sridhar +3 more
doaj +1 more source
Global decline in biodiversity warrants its systematic monitoring in space and time. Remote sensing derived Rao’s Q index has been proposed as a proxy for species diversity yet its scope for seasonal tropical forest is untested.
Divesh Pangtey +4 more
doaj +1 more source

