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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights
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Evaluation of Land Use Changes before and after Iraq and Iran's War (Case Study: Ilam Watershed)
Published 2013-11-01Get full text
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Presenting a Novel Hybrid Approach of Text Mining Sentiment Analysis in Twitter Using CART Decision Tree
Published 2020-03-01Get full text
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124
Identification of the optimal candidates to benefit from surgery and chemotherapy among elderly female breast cancer patients with bone metastases
Published 2025-02-01“…The nomogram’s AUC for forecasting OS at 12, 24, and 36 months was 0.753, 0.748, and 0.745 in the training cohort, and 0.744, 0.723, and 0.723 in the validation cohort. …”
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Diagnosis of Cognitive and Mental Disorders: A New Approach Based on Spectral–Spatiotemporal Analysis and Local Graph Structures of Electroencephalogram Signals
Published 2025-01-01“…Background/Objectives: The classification of psychological disorders has gained significant importance due to recent advancements in signal processing techniques. …”
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Digitalizing an integrated logistics flows of a focus enterprise
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Compressing fully connected layers of deep neural networks using permuted features
Published 2023-07-01“…The authors also showed that the proposed method can be used in the classification stage of the transfer learning networks.…”
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Deep learning for stage prediction in neuroblastoma using gene expression data
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131
Peculiarities of the examination of citrus fruits (mandarins) during the forensic examination
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Data acquisition system for OLED defect detection and augmentation of system data through diffusion model
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Gambaran Tekanan Darah pada Pasien Sindrom Koroner Akut di RS Khusus Jantung Sumatera Barat Tahun 2011-2012
Published 2014-05-01“…Based on the age classification of hypertension, found that 46-55 years were 30%, 66-75 years were 25%, 56-65 years were 24%, > 76 years were 10%, 36-45 years were 0.8%, and < 35 years were 0.2%. based on gender classification of hypertension found that male gender were 74% and women were 26%. …”
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A deep learning based model for diabetic retinopathy grading
Published 2025-01-01“…In our research, we have developed a deep neural network named RSG-Net (Retinopathy Severity Grading) to classify DR into 4 stages (multi-class classification) and 2 stages (binary classification). …”
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
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A Cache Architecture for Counting Bloom Filters: Theory and Application
Published 2011-01-01Get full text
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