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781
Validation of a semi-automated method to quantify lesion volume changes in multiple sclerosis on 2D proton-density-weighted scans based on image subtraction
Published 2024-03-01“…Existing automatic tools predominantly require FLAIR images as input which are not always available, or only focus on new/enlarging activity. …”
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782
Adaptive Integral Sliding Mode Control for Flexible Joint Space Manipulators
Published 2025-01-01“…For a more comprehensive comparison of control performance, quantitative evaluations of regulation time, root mean square error (RMSE), and steady-state tracking error are conducted. …”
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783
Interventions for Improving Informal Social Support for Victim‐Survivors of Domestic Violence and Abuse: An Evidence and Gap Map
Published 2025-06-01“…All study designs were included, reporting qualitative or quantitative data for samples or victim‐survivors (adults who were/had been experiencing abuse in an intimate relationship) or informal supporters. …”
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784
Harnessing community knowledge and actions to strengthen rabies control programs in East Nusa Tenggara, Indonesia
Published 2025-05-01“…Qualitative data, obtained through in-depth interviews and focus group discussions, were thematically analyzed using the context, input, process, and product evaluation model to explore stakeholder coordination, community engagement, and systemic challenges. …”
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785
Compression of 3D Optical Encryption Using Singular Value Decomposition
Published 2025-08-01“…Since the encrypted data in DRPE have the same size as the input data and consists of complex values, a compression technique is required to improve data efficiency. …”
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786
Development of the Optuna-NGBoost-SHAP model for estimating ground settlement during tunnel excavation
Published 2025-10-01“…SHAP value analysis quantitatively evaluated the contributions of input features to the model’s estimations, identifying geometric factors (distance from the shield machine to the monitoring section and cover depth) as the most important features. …”
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787
FAULT DIAGNOSIS OF ROLLING BEARING BASED ON LEARNING SAMPLE SELECTION VIA CORRELATION ENERGY FLUCTUATION EVALUATION AND DEEP BELIEF NEURAL NETWORK (MT)
Published 2023-01-01“…Finally, the obtained samples are used as the input of the deep belief network, and the fault identification model of the rolling bearing is constructed accordingly. …”
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788
The Effect of Green Areas on Urban Microclimate: A University Campus Model Case
Published 2025-04-01“…These formulated models enable the estimation of the temperature reduction provided by these four plant types based on different input parameters, achieving an accuracy of approximately 92% or higher without requiring direct measurements. …”
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789
Safety Risk Prediction Model of High-Rise Building Construction Based on Key Physiological Index
Published 2024-11-01“…On this basis, the key physiological index parameters are analyzed and screened, which are taken as input parameters, and the construction risk prediction results are taken as output. …”
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790
Mutations de la centralité dans une ville secondaire d’Algérie.
Published 2019-09-01“…On the basis of the quantitative analysis of our field surveys, and the qualitative inputs of interviews carried out in 2016-2017, this paper mainly discusses the impact of trade accumulation on the spatial structuring.…”
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791
Supply chain management and optimization in transportation logistics
Published 2022-12-01“…</em></p><p>Generally, the inputs and outputs (after optimization) are to be specified in order to well express the needs and the calibration of an optimization problem. …”
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792
Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction
Published 2025-02-01“…Generated images are inputted into the u-net discriminator, extracting details from both overall and specific perspectives to enhance the quality of the generated F-PET images. …”
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793
Measured dynamic load distribution within the in situ axlebox bearing of high-speed trains under polygonal wheel–rail excitation
Published 2024-07-01“…The fatigue life of the four bearing rows under polygonal wheel–rail excitation was quantitatively predicted by compiling the measured roller–raceway contact load spectra of the most loaded position and considering the load spectra as input.…”
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794
Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study
Published 2025-04-01“…Using these reports, we created zero-shot, one-shot, and three-shot prompts with or without complete example reports as inputs to generate impressions. We used both automatic quantitative evaluation metrics and five human evaluation metrics (completeness, correctness, conciseness, verisimilitude, and replaceability) to assess the generated impressions. …”
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795
A Machine Learning Algorithm Using Texture Features for Nighttime Cloud Detection from FY-3D MERSI L1 Imagery
Published 2025-03-01“…Accurate cloud detection is critical for quantitative applications of satellite-based advanced imager observations, yet nighttime cloud detection presents challenges due to the lack of visible and near-infrared spectral information. …”
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796
Agricultural investment in Iraq ( Reality and determinats ) for the period (1995-2015)
Published 2019-06-01“…The research relied on the method of linking two directions, The descriptive approach, which relied on previous studies on the same subject, quantitive, which based on the methods and styles of the standard economy, where the ordinaryleastsquareswasusedand explanation of quantitive style results for the evaluation of the technical phase of study. …”
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797
Ship Classification with High Resolution TerraSAR-X Imagery Based on Analytic Hierarchy Process
Published 2013-01-01“…., discriminability, stability, and information measure) and provides objective criteria to make comprehensive decisions for their combinations quantitatively. On the other hand, we take the selected feature sets as the input of KNN classifiers and fuse the multiple classification results based on AHP, in which the feature sets’ confidence is taken into account when the AHP based classification decision is made. …”
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798
Land Use Change Forcing Data Undermine the Modeling of China's Greening Efforts
Published 2025-03-01“…By developing a high‐resolution forest cover change data set, we found that LUH2‐GCB, the common land use input for DGVMs, causes models to underestimate afforestation. …”
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799
Thermal comfort and energy related occupancy behavior in Dutch residential dwellings
Published 2018-10-01“…These data were time coupled real time with the quantitative data that were gathered by the sensor system. …”
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800
Unified bursting strategies in ectopic and endogenous even-skipped expression patterns
Published 2024-12-01Get full text
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