Results 1 to 10 of about 54,400 (268)
Outcomes and antimicrobial usage in preterm neonates < 34 weeks gestation with culture-negative neonatal sepsis: a prospective observational study [PDF]
BMC Infectious DiseasesBackground Culture-negative sepsis (CNNS) constitutes a significant proportion of neonates admitted to the NICU. However, the outcomes and factors influencing antimicrobial therapy in this group remain understudied.
J Girisha Rao +5 more
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Segmentation of Brain Images by Optimizing Clustering of Convolution Based Features [PDF]
E3S Web of Conferences, 2021 Brain tumour segmentation aims to separate the various types of tumour tissues like active cells, necrotic core, and edema from normal brain tissues of substantia alba (WM), grey matter (GM), and spinal fluid (CSF). Magnetic Resonance Imaging based brain
Kumar Vikas
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LGN-CNN: A biologically inspired CNN architecture
Neural Networks, 2022 In this paper we introduce a biologically inspired Convolutional Neural Network (CNN) architecture called LGN-CNN that has a first convolutional layer composed by a single filter that mimics the role of the Lateral Geniculate Nucleus (LGN). The first layer of the neural network shows a rotational symmetric pattern justified by the structure of the net ...
Bertoni, Federico +2 more
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Graphitic carbon nitride nanospheres as an adsorbent for effective waste water treatment: Methylene Blue removal from aqueous medium [PDF]
Journal of Water and Environmental Nanotechnology, 2023 Here we report a simple and eco-friendly solvothermal synthesis of graphitic carbon nitride nanospheres (g-CNNS) at 180 oC. The synthesized g-CNNS is characterized by various analytical techniques such as FESEM, PXRD, BET isotherm, Zeta potential, EDX ...
Pingal Sarmah +2 more
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Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet
Connection Science, 2021 Road detection and extraction have gained momentum in recent past years with crucial applications such as urban planning, autonomous driving, automated map update, providing aid to rescue missions, etc. The current methodologies generate the disconnected
Prativa Das, Satish Chand
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Using a Neural Network Method to Solve Image Segmentation Problems
Современные информационные технологии и IT-образование, 2022 Image segmentation plays an important role in detecting various diseases and pathologies through medical image processing. Over the years, a number of traditional approaches such as the binary threshold method (Otsu method), watershed method, and K-means
Moutouama N’dah Bienvenu Mouale
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International Journal of Digital Earth, 2021 The highly dynamic nature of agro-ecosystems in space and time usually leads to high intra-class variance and low inter-class separability in the fine spatial resolution (FSR) remotely sensed imagery.
Huapeng Li +5 more
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Remote Sensing, 2020 Modern elevation-determining remote sensing technologies such as light-detection and ranging (LiDAR) produce a wealth of topographic information that is increasingly being used in a wide range of disciplines, including archaeology and geomorphology ...
Aaron E. Maxwell +2 more
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Evaluation of Cryptocurrency Price Prediction Using LSTM and CNNs Models
JOIV: International Journal on Informatics Visualization, 2023 Cryptocurrencies created by Nakamoto in 2009 have gained significant interest due to their potential for high returns. However, the cryptocurrency market's unpredictability makes it challenging to forecast prices accurately.
Ng Shi Wen, Lew Sook Ling
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GIScience & Remote Sensing, 2020 Rice mapping with remote sensing imagery provides an alternative means for estimating crop-yield and performing land management due to the large geographical coverage and low cost of remotely sensed data.
Shuang Zhao +5 more
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