Results 41 to 50 of about 69,867 (301)

Consequences of anthropogenic activities and beach dynamics on vertical distribution of microplastics in the mid-intertidal sediments of Donghai Island, China

open access: yesWater Science and Technology, 2022
Microplastic accumulation and resulting degradation are significant threats to the coastal ecosystems around the world. Baseline information on microplastics and their sources is of great importance for a permanent waste management system.
Mayakrishnan Machendiranathan   +8 more
doaj   +1 more source

Probabilistic Modeling for Prediction Errors to Enhance Balancing Market Participation of Photovoltaic Systems: Error Threshold Estimation, Multisite Aggregation, and Overloading Effects

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui   +3 more
wiley   +1 more source

Multilayered feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India

open access: yes, 2006
In the present research, possibility of predicting average summer-monsoon rainfall over India has been analyzed through Artificial Neural Network models.
A.J. Matthews   +40 more
core   +1 more source

Survival of Casuarina cunninghamiana on a recovering sand-bed stream in the Wollombi Valley of coastal New South Wales [PDF]

open access: yes, 2013
The successful management and restoration of riparian corridors in Australia is currently hindered by our poor understanding of the links between hydrology, fluvial geomorphology and plant population dynamics.
Chalmers, Anita   +2 more
core   +1 more source

Real‐Time and Rapid Dynamic Missile Identification Utilizing a TiOx Memristor Array

open access: yesAdvanced Intelligent Systems, EarlyView.
Real‐time missile target identification is demonstrated using an artificial intelligence model based on step‐weighted long–short‐term memory networks and a TiOx memristor array. The approach classifies five projectile types with enhanced early‐stage prediction through data augmentation and custom training strategies. Achieving 94.4% accuracy, the model
Mingyu Kim, Gwanyeong Park, Gunuk Wang
wiley   +1 more source

Statistical Downscaling of Urban-scale Air Temperatures Using an Analog Model Output Statistics Technique

open access: yesAtmosphere, 2019
This study was conducted to evaluate the suitability of an analog model output statistics (MOS) downscaling technique for urban-scale meteorology research and compares this MOS-Analog technique with the sliding window technique.
Yire Shin, Chaeyeon Yi
doaj   +1 more source

Detailed Evolution Characteristics of an Inclined Structure Hailstorm Observed by Polarimetric Radar over the South China Coast

open access: yesAtmosphere, 2022
A hailstorm with an inclined structure occurred in the western part of the South China coast on 27 March 2020. This study investigates the detailed evolution characteristics of this inclined structure using the Doppler radar data assimilation system ...
Honghao Zhang   +9 more
doaj   +1 more source

Development of Artificial Intelligence for Quantitative Assessment of Nasal Inflammatory Cytology in Chronic Rhinitis by Whole‐Slide Images

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different phenotypes. We aimed to establish an artificial intelligence system (quantitative assessment of nasal inflammatory cytology, QANIC) on the basis of whole‐slide images (WSIs) to enable quantitative assessment of nasal inflammatory cells.
Xu Zhang   +9 more
wiley   +1 more source

Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies [PDF]

open access: yes, 2016
Statistical downscaling is a commonly used technique for translating large-scale climate model output to a scale appropriate for assessing impacts. To ensure downscaled meteorology can be used in climate impact studies, downscaling must correct biases in
Ficklin, Darren L.   +2 more
core   +3 more sources

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