يعرض 221 - 240 نتائج من 638 نتيجة بحث عن '((input processing) OR (image processing))', وقت الاستعلام: 0.09s تنقيح النتائج
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    Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-Based Approach حسب Baskharon, Fadi

    منشور في 2020
    "…Predicting the remaining cycle time of running cases is one important use case of predictive process monitoring. Different approaches that learn from event logs, e.g., relying on an existing representation of the process or leveraging machine learning approaches, have been pro posed in literature to tackle this problem. …"
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  4. 224

    A Deep Neural Network Chatbot for the Gulf Arabic Dialect: A Hybrid BiLSTM-Transformer Approach حسب ALAZZAM, BAYAN AHMAD

    منشور في 2023
    "…The Transformer model was developed to handle MSA and GAD inputs in mixed-language environments. Three models were developed: BiLSTM, BiLSTM with Farasa Segmentation, and Hybrid BiLSTM-Transformer. …"
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  5. 225

    Impact of Sampling Technique on the Performance of Surrogate Models Generated with Artificial Neural Network (ANN): A Case Study for a Natural Gas Stabilization Unit حسب Mohamed Ibrahim (3465677)

    منشور في 2019
    "…<div><p>Data-driven models are essential tools for the development of surrogate models that can be used for the design, operation, and optimization of industrial processes. One approach of developing surrogate models is through the use of input–output data obtained from a process simulator. …"
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    A Graph Heuristic Approach for the Data Path Allocation Problem حسب Makhoul, Racha

    منشور في 2022
    "…More speci cally, this automation process known as high-level synthesis (HLS), targets the datapath allocation problem in VLSI design. …"
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    masterThesis
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    Biomechanically Regularized Deep Deformable Registration for CT and US Fusion حسب Snigdha Mohanty (16904919)

    منشور في 2025
    "…Our approach leverages deep learning to model complex deformation fields while incorporating biomechanical priors derived from liver anatomy and tissue properties to enhance the physical plausibility and robustness of the registration process. We utilize a convolutional neural network to predict the deformation field between the CT and US images, guided by a biomechanical regularization term that penalizes unrealistic deformations. …"
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    A multi-pretraining U-Net architecture for semantic segmentation حسب Cagla Copurkaya (22502042)

    منشور في 2025
    "…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …"
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    MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss حسب Najmath Ottakath (17430912)

    منشور في 2025
    "…There is an inherent requirement to identify the risk before its onset through techniques such as ultrasound imaging. The carotid artery intima-media thickness, a marker for stenosis, can be identified, marked, and assessed. …"
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    Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review حسب Rizwan Qureshi (15279193)

    منشور في 2023
    "…Advances in computational hardware, such as cloud computing, graphical processing units (GPUs), Field-programmable gate arrays (FPGAs) and tensor processing units (TPUs), provide the means to utilize these data. …"
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    Deep learning and vision transformers-based framework for breast cancer and subtype identification حسب Ishrat Jahan (5782163)

    منشور في 2025
    "…The framework comprises three key components: detecting cancerous patches, identifying cancer subtypes (ductal and lobular carcinoma), and predicting patient-level outcomes from whole slide images (WSI). The validation process includes visualization using Score-CAM to highlight cancer-affected areas prominently. …"
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    Anatomy and Neural Pathways Modulating Distinct Locomotor Behaviors in Drosophila Larva حسب Swetha B. M. Gowda (16442142)

    منشور في 2021
    "…How behavioral responses to various sensory inputs are processed and integrated by the downstream neural network to produce flexible and adaptive behaviors remains an intense area of investigation in many laboratories. …"
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    Correcting Susceptibility Artifacts of MRI Sensors in Brain Scanning: A 3D Anatomy-Guided Deep Learning Approach حسب Soan T. M. Duong (18460599)

    منشور في 2021
    "…The fast inference speed (less than a second) of TS-Net makes real-time SAC during EPI image acquisition feasible and accelerates the medical image-processing pipelines.…"
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    Machine Learning-Based Estimation of PM<sub>2.5</sub> Concentration Using Ground Surface DoFP Polarimeters حسب Maen Takruri (10873368)

    منشور في 2022
    "…Furthermore, acquisition of the polarimetric images is done near the ground surface with a horizontal field of view aiming at standard targets which enables higher accuracy at the surface level. …"
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