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Deep Learning and Wavelet Transform Combined With Multichannel Satellite Images for Tropical Cyclone Intensity Estimation
Published 2025-01-01“…To validate the performance of our model, we conducted extensive experiments on the TCIR dataset. The experimental results show that the proposed model has MAE and RMSE of 3.76 m/s and 4.62 m/s for TC intensity estimation, which are 15.70% and 20.07% lower than advanced Dvorak technology, respectively. …”
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Enhancing prostate cancer segmentation in bpMRI: Integrating zonal awareness into attention-guided U-Net
Published 2025-01-01“…Our approach exhibits exceptional performance in the accurate segmentation of bpMRI images compared to current techniques, as evidenced by thorough validation of a diverse dataset. This research not only enhances the field of medical imaging for oncology but also underscores the potential of deep learning models to progress PCa diagnosis and personalized patient care.…”
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How accounting for investment subsidies influences financial performance: an empirical analysis of IAS 20 and Czech accounting legislation
Published 2024-12-01“…The essence of our article is to evaluate to what extent the alternative accounting of investment subsidies using accruals would be reflected in the financial ratios. The dataset consists of 277 enterprises that received an investment subsidy. …”
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LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment
Published 2025-01-01“…Machine learning models, trained on an expert-annotated in-house dataset, were employed to detect MCI status from driving performance. …”
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An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine
Published 2013-01-01“…In the experimental procedure, we created a 90 images dataset brain downloaded from Harvard Medical School website. …”
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Individual Baseline Balance Assessments in a Large Sample of Incoming NCAA Division I Athletes Using a Force Plate System
Published 2021-02-01“… # PURPOSE This study sought to validate a normative dataset from the force-plate manufacturer and examine the magnitude and nature of sample variability…”
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Quantitative impact of immunomodulation versus oncolysis with cytokine-expressing virus therapeutics
Published 2015-03-01Get full text
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The Right to the Night City: Exploring the Temporal Variability of the 15-min City in Milan and Its Implications for Nocturnal Communities
Published 2025-01-01“…Proprietary Point-Of-Interest (POI) data that were retrieved, sorted and filtered from the Google Places API are used to simulate time-variant walkability maps based on opening hour information contained in the dataset. The research reveals significant differences in walkability potential, both in spatial and temporal terms, and highlights gaps in nighttime service availability. …”
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Government Responses to COVID-19: A Comparative Analysis of Visegrad Countries
Published 2022-05-01“…The data used in the study were collected from ourworldindata.org, OECD, WHO, World Bank, Eurostat databases, CoronaNET dataset and Covid-19 Government Response Tracker. …”
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Physical drivers of bio-optical properties in the Guangdong-Hong Kong-Macao Greater Bay Area during the winter dry season
Published 2025-01-01“…This study investigated the vertical distribution of bio-optical properties and their potential driving forces in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) using a bio-optical dataset collected during the winter dry season. The hydrographic and biogeochemical properties observed across the GBA exhibited significant spatial variability, allowing the classification of the waters into three distinct regions: estuarine diluted water (EDW), Guangdong coastal current water (GCCW), and dense shelf water (DSW). …”
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A power extraction approach with load state modification for energy disaggregation
Published 2025-01-01“…We conducted extensive experiments on a public dataset, demonstrating that the proposed method can significantly improve the accuracy of state-of-the-art solution. …”
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Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance
Published 2022-01-01“…Second, density peak clustering improved by kernel Mahalanobis distance (KMDDPC) is applied to classify the dataset into multiple clusters, including forecasting error and meteorological factors. …”
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Integrated Analysis Identifies Four Genes as Novel Diagnostic Biomarkers Which Correlate with Immune Infiltration in Preeclampsia
Published 2022-01-01“…The expressions and diagnostic values of genes in preeclampsia were further demonstrated in the GSE44711 dataset (8 control samples and 8 preeclampsia samples). …”
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RATIONAL DRUG DESIGN OF POTENT V600E-BRAF KINASE INHIBITORS THROUGH MOLECULAR DOCKING SIMULATION
Published 2019-12-01“…11.7 kcalmol-1) best inhibit V600E-BRAF when compared with other QAP analogous within the dataset and was found to be better than the standard V600E-BRAF inhibitor vemurafenib (-11.3 kcalmol-1). …”
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Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Published 2025-01-01“…Through extensive experiments on three benchmark datasets with two network architectures in both single-step (Noise-Fast Gradient Sign Method, N-FGSM) and multi-step (Projected Gradient Descent, PGD) scenarios, models trained within the BB framework consistently demonstrate superior adversarial accuracy across various adversarial settings, notably achieving an improvement of more than 13% on the SVHN dataset with an attack radius of 8/255 compared to N-FGSM. …”
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