One-Shot Segmentation of Battery Cells with Gradual Learning by Johann Christopher Engster, Nele Blum, Laura Hellwege, Thorsten M. Buzug, Maik Stille

“…However, in most settings, generating labeled data needed to train these tools is expensive. …”
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Image experience prediction for historic districts using a CNN-transformer fusion model by Youping Teng, Weijia Wang

“…An attention mechanism and transfer learning strategy enhanced model accuracy in label recognition and classification. Applying this system to Jiangnan Historic District, we demonstrated how understanding and applying emotional value can enhance district appeal. …”
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Sports Big Data: Management, Analysis, Applications, and Challenges by Zhongbo Bai, Xiaomei Bai

“…Secondly, we review sports big data management such as sports big data acquisition, sports big data labeling, and improvement of existing data. Thirdly, we show sports data analysis methods, including statistical analysis, sports social network analysis, and sports big data analysis service platform. …”
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Study on video action recognition based on augment negative example multi-granularity discrimination model by LIU Liangzhen, YANG Yang, XIA Yingjie, KUANG Li

“…Experimental results demonstrate that the augment negative set improves the model’s recognition ability on fine-grained class labels, and the multi-granularity discrimination model outperforms current state-of-the-art methods on the Kinetics-400, HMDB51 and UCF101 datasets.…”
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Exploring the Role of AI-Based Conversational Agents for Collaborative Learning of English as a Foreign Language by Ebru Pınar Elmacı Er, Armin Weinberger

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Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis by Jun He, Xiang Li, Yong Chen, Danfeng Chen, Jing Guo, Yan Zhou

“…In mechanical fault diagnosis, it is impossible to collect massive labeled samples with the same distribution in real industry. …”
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Automatic detection of fake reviews at marketplaces using expert-based features and consumers’ reactions by A. N. Borodulina, E. V. Mikhalkova

“…The paper presents the results of automatic classification of reviews from Russian marketplaces into potentially fake and honest ones using modelling of features that experts call labels of a fake review (presence of template words, exclamation marks, emoji, positive sentiment), and machine learning algorithms. …”
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Visual Impairment Spatial Awareness System for Indoor Navigation and Daily Activities by Xinrui Yu, Jafar Saniie

“…Our experimental results confirm that the VISA system efficiently assists visually impaired users in indoor navigation, object detection and localization, and label and text recognition, thereby significantly enhancing their spatial awareness and independence.…”
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Hybrid Time Series Method for Long-Time Temperature Series Analysis by Guangdong Huang, Jiahong Li

“…In the end, we regard the calculations of 10 DWT-ARMA (DA) algorithms and the observed data as the labels and target of the XGBoost algorithm, respectively. …”
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Performance Prediction for Higher Education Students Using Deep Learning by Shuping Li, Taotang Liu

“…The training mode is used to train the system with labeled data from dataset and the testing mode is used for evaluating the system. …”
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Social goals under a neoliberal agenda: measures to promote equality in European higher education read through a Foucauldian lens by Elena-Loreni Baciu, Theofild-Andrei Lazăr, Raluca Iunia Totan

“…Using a qualitative case study design, we selected 17 public universities situated in 13 European countries, from which we collected information about (1) the way these institutions problematize inequality in reference to participation in higher education, by labeling and categorizing vulnerable students and (2) the modes of governing and power tools (designed as support measures) they employ to address inequality. …”
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From information to knowledge: charting and measuring changes in students' knowledge of a curriculum topic by Ross J Todd

“…The instruments sought to measure changes in knowledge, specifically in relation to substance of knowledge, structure of knowledge, amount of knowledge, estimate of extent of knowledge, and label of knowledge. <br><b>Results.</b> It was possible to operationalise knowledge change in terms of substance, amount and structure of knowledge, and user-centreed perceptions of knowledge growth. …”
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MALABSORPTION; ACASE OF MICROCYTIC ANEMIA IN PAKISTAN by Muhammad Usman et al

“…Individuals showing no elevation in serum iron levels after FeSO4 administration were labelled as patients suffering from malabsorption. …”
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Psychometric Properties of the Persian Version of the Short Beck Depression Inventory with Iranian Psychiatric Outpatients by Mahboubeh Dadfar, Zornitsa Kalibatseva

“…Using a Principal Component Analysis and Varimax Rotation with Kaiser Normalization, three factors were identified and labeled Affective (F1), Somatic/Vegetative (F2), and Cognitive/Loss of Functioning (F3). …”
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Microwave Assisted Extraction of Defatted Roselle (Hibiscus sabdariffa L.) Seed at Subcritical Conditions with Statistical Analysis by N. I. Yusoff, C. P. Leo

“…Roselle seeds are the waste product of roselle processing, but they are now labeled as a polyphenol source with great herbal quality. …”
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Multialgorithmic Frameworks for Human Face Recognition by Radhey Shyam, Yogendra Narain Singh

“…The robustness of proposed multialgorithmic frameworks of face recognition system is tested on publicly available databases, for example, AT & T (ORL) and Labeled Faces in the Wild (LFW). The experimental results show a significant improvement in recognition accuracies of the proposed frameworks of face recognition system in comparison to their individual methods. …”
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Methamphetamine Use: A Narrative Review of Adverse Effects and Related Toxicities by Amber N. Edinoff, Sarah E. Kaufman, Keionne M. Green, Daniel A. Provenzano, Jesse Lawson, Elyse M. Cornett, Kevin S. Murnane, Adam M. Kaye, Alan D. Kaye

“…Methamphetamine has been labeled "America's most dangerous drug" and has received significant public health attention. …”
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Pedagogical Strategies to Diminish Concepts of Language Privileging Among Pre-service Teachers by Anna Burnley

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Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift by M. V. Carriegos, N. DeCastro-García, D. Escudero

“…Also, the relation between the IP address and its label of maliciousness can be modified if we test the address several times. …”
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The Experience of Trinitarian Compassion According to St. Francis of Assisi by Krzysztof Juzba

“…This love forms the basis of the compassion for man. St. Francis labels such comprehended One God in Three Person: Goodness and Source of all Goodness and Love. …”
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