يعرض 241 - 260 نتائج من 638 نتيجة بحث عن '((input processing) OR (image processing))', وقت الاستعلام: 0.09s تنقيح النتائج
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    Multimodal deep learning for liver cancer applications: a scoping review حسب Aisha Siam (17293957)

    منشور في 2023
    "…The multimodal data combines several modalities, such as medical images, clinical parameters, and electronic health record (EHR) reports, from diverse sources to accomplish the diagnosis of liver cancer. …"
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    A fast exact sequential algorithm for the partial digest problem حسب Mostafa M. Abbas (17058093)

    منشور في 2016
    "…<h3>Background</h3><p dir="ltr">Restriction site analysis involves determining the locations of restriction sites after the process of digestion by reconstructing their positions based on the lengths of the cut DNA. …"
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    Small molecule inhibitors of α-synuclein oligomers identified by targeting early dopamine-mediated motor impairment in C. elegans حسب Kevin S. Chen (9201767)

    منشور في 2021
    "…Next, we devised a method for semi-automated and blinded quantification of motor impairment for a population of simultaneously recorded animals with multi-worm tracking and custom image processing. We then used genetic and pharmacological methods to define the features of early motor dysfunction of α-synuclein-expressing C. elegans. …"
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    New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications حسب Mohieddine Benammar (18103039)

    منشور في 2019
    "…The new algorithm exploits the pseudo-linear region around the tangent function zero point to estimate a reduced input arctangent through a modified rational approximation before referring this estimate to its original value using miniature LUTs. …"
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    Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data حسب Rajesh Kumar Dhanaraj (19646269)

    منشور في 2021
    "…Then, for each pattern, various weak clusters are constructed via X‐means clustering and are utilized as the weak learner (clusters). During this process, the input patterns are categorized into different clusters. …"
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    Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? حسب Ahmed Soliman (4591621)

    منشور في 2024
    "…These findings suggest that proposed complex architectures may be task-specific and simpler models with appropriate pre-/post-processing pipeline can be equally or more effective in generalization across different tasks in medical image segmentation.…"
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    Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge حسب Adnan Qayyum (16875936)

    منشور في 2022
    "…In this paper, we leverage the capabilities of edge computing in medicine by evaluating the potential of intelligent processing of clinical data at the edge. We utilized the emerging concept of clustered federated learning (CFL) for an automatic COVID-19 diagnosis. …"
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    An insight into tetracycline photocatalytic degradation by MOFs using the artificial intelligence technique حسب Majedeh Gheytanzadeh (17541927)

    منشور في 2022
    "…Up to now, several attempts have been made to reduce TC amounts in the wastewater, among which photocatalysis, an advanced oxidation process, is known as an eco-friendly and efficient technology. …"
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    Curriculum Appropriation: Bridging ESL Learners’ Needs, Attitudes and Innovations in the Field حسب Irum Naz (17948078)

    منشور في 2018
    "…<p dir="ltr">This paper presents the findings of a study that focused on the process of language comprehension leading to language performance of undergraduate learners. …"
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    Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces حسب Uzair Sajjad (19646296)

    منشور في 2021
    "…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …"
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    MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography حسب Mohammed Yaqoob (344668)

    منشور في 2025
    "…To train and test the classifier, we utilized 48 SEM images of diverse carbonate microtextures composed of Low-Mg calcite from studies performed worldwide. …"