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661
DRCCT: Enhancing Diabetic Retinopathy Classification with a Compact Convolutional Transformer
Published 2025-01-01Subjects: Get full text
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662
Machine Learning-Based Classification of Turkish Music for Mood-Driven Selection
Published 2024-06-01Subjects: “…classification…”
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663
End-to-End Semantic Leaf Segmentation Framework for Plants Disease Classification
Published 2022-01-01“…Plant disease detection and classification is a much-developed research area due to enormous development in machine learning (ML). …”
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664
Method of Depression Classification Based on Behavioral and Physiological Signals of Eye Movement
Published 2020-01-01“…The results show that, on the one hand, the classification performance based on the fusion features of eye movement behavior and physiological signals is better than using a single behavior feature and a single physiological feature; on the other hand, compared with previous methods, the proposed method for depression recognition achieves better classification results. …”
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665
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification
Published 2012-01-01“…The proposed analysis methodology of clinical oncological PET data has shown promising results and can successfully classify and quantify malignant lesions.…”
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666
Classifications of triple-negative breast cancer: insights and current therapeutic approaches
Published 2025-02-01Subjects: Get full text
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667
Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks
Published 2023-06-01Subjects: “…classification…”
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668
Classical and Impulse Stochastic Control on the Optimization of Dividends with Residual Capital at Bankruptcy
Published 2017-01-01“…Maximization of both expected total discounted dividends before bankruptcy and expected discounted returned money at the state of terminal bankruptcy becomes a mixed classical-impulse stochastic control problem. In order to solve this problem, we reduce it to quasi-variational inequalities with a nonzero boundary condition. …”
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669
Alzheimer's disease image classification based on enhanced residual attention network.
Published 2025-01-01“…To address these issues, this study proposes a deep learning model to detect Alzheimer's disease; it is called Enhanced Residual Attention Network (ERAN) that can classify medical images. By combining residual learning, attention mechanism, and soft thresholding, the feature representation ability and classification accuracy of the model have been improved. …”
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670
SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs
Published 2024-09-01Subjects: Get full text
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671
Peculiarities of the classification of raw-smoked sausages during forensic commodity examination
Published 2024-03-01Subjects: “…classification of raw-smoked sausages…”
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672
Toward a Classification of Mixed-State Topological Orders in Two Dimensions
Published 2025-01-01“…The classification and characterization of topological phases of matter is well understood for ground states of gapped Hamiltonians that are well isolated from the environment. …”
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673
Classification and determination of the tobacco raw materials authenticity during the forensic examination
Published 2024-12-01Subjects: Get full text
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674
Rare classification of a lower eyelid lesion as tubular apocrine adenoma
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675
An Improved ConvNeXt With Multimodal Transformer for Physiological Signal Classification
Published 2024-01-01Subjects: “…coronary heart disease classification…”
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676
A Semi-supervised Deep Learning Method for Cervical Cell Classification
Published 2022-01-01“…Training a deep neural network-based classification model requires a large amount of data. …”
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677
Chronic active lesions in multiple sclerosis: classification, terminology, and clinical significance
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678
Data Clustering Improves Siamese Neural Networks Classification of Parkinson’s Disease
Published 2021-01-01“…Moreover, clustering a dataset before applying classification enhances the distribution of similar samples among groups. …”
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679
A novel feature selection technique: Detection and classification of Android malware
Published 2025-03-01“…The research employs extensive experiments on the Kronodroid dataset, a comprehensive and large-scale dataset, to gauge how well the proposed technique identifies and classifies malicious Android applications. Experimental results using machine learning algorithms demonstrate that the technique proposed in this research effectively integrates the advantages of individual feature selection techniques and exhibits the potential to identify a brief set of pivotal features for detecting Android malware. …”
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680
CLASSIFICATION OF PROFESSIONAL EDUCATIONAL PROGRAMS IN THE RUSSIAN FEDERAITION: PROBLEMS AND POSSIBLE DECISIONS
Published 2017-12-01Subjects: “…classification system…”
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