Results 201 to 210 of about 10,131,558 (253)
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
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Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
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A novel object recognition method for photovoltaic (PV) panel occlusion based on deep learning
J. Comput. Methods Sci. Eng., 2023During the long-term operation of the photovoltaic (PV) system, occlusion will reduce the solar radiation energy received by the PV module, as well as the photoelectric conversion efficiency and economy.
Jing Yu +3 more
semanticscholar +1 more source
Refined single-stage object detection deep-learning technique for chilli leaf disease detection
J. Electronic Imaging, 2023. Agriculture is a crucial sector for every country’s economy, as it provides livestock and crops that are essential for farmers and their families’ survival.
B. N. Naik +2 more
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2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP), 2023
The Indian economy is highly dependent on agricultural yield. Although due to plant diseases losses arise in terms of quality as well as quantity of agricultural products.
N. Shah, Ashutosh Gupta, Arun Kumar
semanticscholar +1 more source
The Indian economy is highly dependent on agricultural yield. Although due to plant diseases losses arise in terms of quality as well as quantity of agricultural products.
N. Shah, Ashutosh Gupta, Arun Kumar
semanticscholar +1 more source
Object vs Pixel-based Flood/Drought Detection in Paddy Fields using Deep Learning
IIAI International Conference on Advanced Applied Informatics, 2022Disasters like flood and drought in paddy fields create unprecedented issues for farmers and a country’s economy. Some countries compensate these farmers based on the validation to the victim’s claims.
Aakash Thapa, B. Neupane, T. Horanont
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New Pedagogies and Re-Usable Learning Objects: Toward a New Economy in Education
Journal of Educational Technology Systems, 2001While the idea of reusing objects in digital learning environments is not new, continual strides are being made toward improving the prospects of reusability. However, three of the main steps in reusability—finding a pedagogy in which both contribution and reusability are regular aspects, having a convenient technology for all stages of contribution ...
Collis, Betty, Strijker, A.
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