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Standards
| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
|---|---|---|---|
| 1 |
Material Type: Standards
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Classification and Forecasting of Water Stress in Tomato Plants Using Bioristor DataAccess, IEEE, 2023, Vol.11, p.34795-348072013 IEEE ;DOI: 10.1109/ACCESS.2023.3265597Full text available |
| 2 |
Material Type: Standards
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Generation and Frame Characteristics of Predefined Evenly-Distributed Class Centroids for Pattern ClassificationAccess, IEEE, 2021, Vol.9, p.113683-1136912013 IEEE ;DOI: 10.1109/ACCESS.2021.3083764Full text available |
| 3 |
Material Type: Standards
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Automatic Recommendation Method for Classifier Ensemble Structure Using Meta-LearningAccess, IEEE, 2021, Vol.9, p.106254-1062682013 IEEE ;DOI: 10.1109/ACCESS.2021.3099689Full text available |
| 4 |
Material Type: Standards
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Experimental Validation of Artificial Neural Network Based Road Condition Classifier and its ComplementationAccess, IEEE, 2023, Vol.11, p.82696-827082013 IEEE ;DOI: 10.1109/ACCESS.2023.3301851Full text available |
| 5 |
Material Type: Standards
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Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking ClassifierAccess, IEEE, 2023, Vol.11, p.80030-800552013 IEEE ;DOI: 10.1109/ACCESS.2023.3299332Full text available |
| 6 |
Material Type: Standards
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Spatiotemporal Sequence-to-Sequence Clustering for Electric Load ForecastingAccess, IEEE, 2023, Vol.11, p.5850-58632013 IEEE ;DOI: 10.1109/ACCESS.2023.3235724Full text available |
| 7 |
Material Type: Standards
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Noise-Robust Fuzzy Classifier Designed With the Aid of Type-2 Fuzzy Clustering and Enhanced LearningAccess, IEEE, 2023, Vol.11, p.8108-81182013 IEEE ;DOI: 10.1109/ACCESS.2023.3238798Full text available |
| 8 |
Material Type: Standards
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Point Cloud Instance Segmentation of Indoor Scenes Using Learned Pairwise Patch RelationsAccess, IEEE, 2021, Vol.9, p.15891-159012013 IEEE ;DOI: 10.1109/ACCESS.2021.3051618Full text available |
| 9 |
Material Type: Standards
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Human Motion Target Posture Detection Algorithm Using Semi-Supervised Learning in Internet of ThingsAccess, IEEE, 2021, Vol.9, p.90529-905382013 IEEE ;DOI: 10.1109/ACCESS.2021.3091430Full text available |
| 10 |
Material Type: Standards
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Neural Networks Regularization With Graph-Based Local ResamplingAccess, IEEE, 2021, Vol.9, p.50727-507372013 IEEE ;DOI: 10.1109/ACCESS.2021.3068127Full text available |
| 11 |
Material Type: Standards
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CE-Net: A Coordinate Embedding Network for Mismatching RemovalAccess, IEEE, 2021, Vol.9, p.147634-1476482013 IEEE ;DOI: 10.1109/ACCESS.2021.3123942Full text available |
| 12 |
Material Type: Standards
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An Approach for Optimizing Ensemble Intrusion Detection SystemsAccess, IEEE, 2021, Vol.9, p.6930-69472013 IEEE ;DOI: 10.1109/ACCESS.2020.3046246Full text available |
| 13 |
Material Type: Standards
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DDES: A Distribution-Based Dynamic Ensemble Selection FrameworkAccess, IEEE, 2021, Vol.9, p.40743-407542013 IEEE ;DOI: 10.1109/ACCESS.2021.3063254Full text available |
| 14 |
Material Type: Standards
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Conditional Activation GAN: Improved Auxiliary Classifier GANAccess, IEEE, 2020, Vol.8, p.216729-2167402013 IEEE ;DOI: 10.1109/ACCESS.2020.3041480Full text available |
| 15 |
Material Type: Standards
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VCOS: A Novel Synergistic Oversampling Algorithm in Binary Imbalance ClassificationAccess, IEEE, 2019, Vol.7, p.145435-1454432013 IEEE ;DOI: 10.1109/ACCESS.2019.2945034Full text available |
| 16 |
Material Type: Standards
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A Greedy Method for Constructing Minimal MulticonlitronAccess, IEEE, 2019, Vol.7, p.174662-1746722013 IEEE ;DOI: 10.1109/ACCESS.2019.2957516Full text available |
| 17 |
Material Type: Standards
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Predicting <inline-formula> <tex-math notation="LaTeX">$Gamaka$ </tex-math></inline-formula>s-The Essential Embellishments in Karnatic MusicAccess, IEEE, 2019, Vol.7, p.175386-1753952013 IEEE ;DOI: 10.1109/ACCESS.2019.2957236Full text available |
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