Results 31 to 40 of about 118,357 (248)
Digital Soil Mapping of Soil Organic Matter with Deep Learning Algorithms
ISPRS International Journal of Geo-Information, 2022 Digital soil mapping has emerged as a new method to describe the spatial distribution of soils economically and efficiently. In this study, a lightweight soil organic matter (SOM) mapping method based on a deep residual network, which we call LSM-ResNet,
Pengyuan Zeng +4 more
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Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
IEEE Access, 2023 The neurodevelopmental Autism Spectrum Disorder (ASD) causes problems in social communication. Earlier diagnosis of ASD from brain image is necessary for reducing the effect of disorder.
Sweta Jain +5 more
semanticscholar +1 more source
Brain tumor classification in MRI image using convolutional neural network
Mathematical Biosciences and Engineering, 2020 Brain tumor is a severe cancer disease caused by uncontrollable and abnormal partitioning of cells. Recent progress in the field of deep learning has helped the health industry in Medical Imaging for Medical Diagnostic of many diseases.
Hassan Ali Khan +3 more
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Acta Informatica Pragensia, 2023 Osteosarcoma is a high-grade malignant bone tumour for which neoadjuvant chemotherapy is a vital component of the treatment plan. Chemotherapy brings about the death of tumour tissues, and the rate of their death is an essential factor in deciding on ...
T. S. Saleena +3 more
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Deep learning system for assessing diabetic retinopathy prevalence and risk level estimation [PDF]
E3S Web of Conferences, 2023 Diabetic retinopathy, one of the foremost problems brought on by Diabetes Mellitus has seen an exponential rise in incidence due to the exponential growth of diabetics worldwide and causes visual issues and sightlessness owing to deformity of individual ...
Biswas Ankur, Banik Rita
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Biomedicines, 2022 The impact analysis of deep learning models for COVID-19-infected X-ray images is an extremely challenging task. Every model has unique capabilities that can provide suitable solutions for some given problem.
Musiri Kailasanathan Nallakaruppan +3 more
doaj +1 more source
Remote Sensing, 2020 This paper proposes a framework for unmixing of hyperspectral data that is based on utilizing the scattering transform to extract deep features that are then used within a neural network.
Yiliang Zeng +3 more
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Neural Models for Target-Based Computer-Assisted Musical Orchestration: A Preliminary Study
Journal of Creative Music Systems, 2022 In this paper we will perform a preliminary exploration on how neural networks can be used for the task of target-based computer-assisted musical orchestration.
Carmine Emanuele Cella +4 more
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Cross-View Gait Recognition Method Based on Multi-Teacher Joint Knowledge Distillation
Sensors, 2023 Aiming at challenges such as the high complexity of the network model, the large number of parameters, and the slow speed of training and testing in cross-view gait recognition, this paper proposes a solution: Multi-teacher Joint Knowledge Distillation ...
Ruoyu Li +4 more
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