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Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis
Published 2017-01-01“…Firstly, the algorithm calculates the information entropy for each characteristic variable in the original dataset based on the information gain algorithm. Secondly, it standardizes every variable’s dimension in the dataset. …”
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PREDICTING STOCK PRICE DIRECTION OF EUROZONE BANKS: CAN DEEP LEARNING TECHNIQUES OUTPERFORM TRADITIONAL MODELS?
Published 2024-12-01“…The underperformance of LSTM and BiLSTM may be attributed to dataset limitations relative to deep learning requirements. …”
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1344
Subspace-Based Anomaly Detection for Large-Scale Campus Network Traffic
Published 2023-01-01“…Under the two test sets of public dataset and collected campus network data information of a university, the detection performance of the proposed anomaly detection method is compared with other anomaly detection algorithm models. …”
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1345
Small-Size Wearable High-Efficiency TAG Antenna for UHF RFID of People
Published 2014-01-01Get full text
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1346
EW-CACTUs-MAML: A Robust Metalearning System for Rapid Classification on a Large Number of Tasks
Published 2022-01-01“…Validation of EW-CACTUs-MAML on a typical dataset (Omniglot) indicates an accuracy of 97.42%, performing better than CACTUs-MAML (validation accuracy = 97.22%). …”
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1347
Komparasi Metode Klasifikasi untuk Deteksi Ekspresi Wajah Dengan Fitur Facial Landmark
Published 2021-10-01“…Penelitian ini membandingkan tiga metode klasifikasi untuk melakukan klasifikasi ekspresi wajah. Dataset ekspresi wajah yang digunakan pada penelitian ini adalah JAFFE dataset dengan total 213 citra wajah yang menunjukkan 7 (tujuh) ekspresi wajah. …”
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Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study
Published 2025-01-01“…This dataset includes 1229 video clips, each lasting 3 seconds. …”
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1349
Perbandingan Pretrained Model Transformer pada Deteksi Ulasan Palsu
Published 2022-06-01“…However, the results obtained by both Transformer and deep learning models perform well to detect spam reviews in the Ott dataset. …”
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Identification of major trauma using the simplified abbreviated injury scale to estimate the injury severity score: a diagnostic accuracy and validation study
Published 2025-01-01“…The Pearson correlation coefficient was 0.93 in the internal validation dataset (95% CI, 0.90–0.95) and 0.82 in the external validation dataset (95% CI, 0.75–0.88). …”
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1351
Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer
Published 2025-01-01“…This leads to highly heterogeneous dataset. Methods. To address this issue, we propose to identify underlying clusters within the dataset and use the cluster labels for segmentation. …”
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Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan)
Published 2022-02-01“…Ulasan palsu bisa secara efektif dibedakan menggunakan machine learning. Namun, banyak dari dataset ulasan palsu ini tidak seimbang (imbalanced dataset) sehingga dapat mempengaruhi hasil klasifikasi. …”
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Machine Reading Comprehension for the Tamil Language With Translated SQuAD
Published 2025-01-01“…This research examines high-performing language models on the Tamil MRC task, detailing the preparation of a Tamil-translated and processed SQuAD dataset to establish a standard dataset for Tamil MRC. …”
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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques
Published 2025-01-01“…The dataset included 130 male and 122 female subjects, with age ranges of 33 - 87 years and 41 - 82 years, respectively. …”
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Detecting the Early Stage of Phaeosphaeria Leaf Spot Infestations in Maize Crop Using In Situ Hyperspectral Data and Guided Regularized Random Forest Algorithm
Published 2017-01-01“…An integration of a newly developed guided regularized random forest (GRRF) and a traditional random forest (RF) was used for feature selection and classification, respectively. The 2013 dataset was used to train the model, while the 2014 dataset was used as independent test dataset. …”
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A Review on Face Mask Recognition
Published 2025-01-01“…A central focus is placed on the role of datasets in driving algorithmic performance, addressing key factors, including dataset diversity, scale, annotation granularity, and modality. …”
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1358
Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy
Published 2012-01-01“…The aim of this study is to investigate the white matter by the diffusion tensor imaging and the Chinese visible human dataset and to provide the 3D anatomical data of the corticospinal tract for the neurosurgical planning by studying the probabilistic maps and the reproducibility of the corticospinal tract. …”
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Daily Weather Data From Central and Eastern King George Island (West Antarctica) for 2018–2023
Published 2025-01-01“…ABSTRACT The dataset presented in the paper contains meteorological data from four automatic weather stations (AWS) located in the central and western parts of King George Island (near Arctowski Station and Cape Lions Rump). …”
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