Search Results - "scale data"

Learning of meaningful visual representations for continuous lip-reading

Authors: Fernández López, Adriana

Contributors: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Sukno, Federico Mateo

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Automatic lip-reading, Visual speech recognition, Small-scale data, Sequence-to-sequence models, Audio-visual data, Lectura labial automàtica, Reconeixement de veu visual, Dades a petita escala, Models seqüència a seqüència, Dades audiovisuals

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/671206

Integration of Multi-Scale Data for Search and Exploration of Oil and Gas Fields

Authors: A. V. Stoupakova R. S. Sautkin G. A. Kalmykov et al.

Source: Georesursy, Vol 27, Iss 2 (2025)

Subject Terms: multi-scale data, QE1-996.5, geological exploration, integration, Geology

Access URL: https://doaj.org/article/9b3b2f74884a43008f311cb6f7d16e07

Generalized linear models for ordered categorical data

Authors: Holm, Sture, 1936

Source: Communications in Statistics - Theory and Methods. 52(3):670-683

Subject Terms: Generalized linear model, scale data, rank methods

File Description: electronic

Access URL: https://research.chalmers.se/publication/524119
https://research.chalmers.se/publication/524119/file/524119_Fulltext.pdf

TCAD-Net: Integrating Transformer and Convolution for Weakly Supervised Anomaly Data Discovery

Authors: Hongping Gan Hejie Zheng J. Nescolarde Selva et al.

Contributors: Hongping Gan Hejie Zheng J. Nescolarde Selva et al.

Source: RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

Subject Terms: Transformer, Large-scale data, Consumer electronics, Anomaly data discovery, Imbalanced samples

Access URL: http://hdl.handle.net/10045/152229

Veri Madenciliğinde Karar Ağaçları İndükleyicilerinin Likert Ölçekli Verilerde Sınıflandırma Performansı

Authors: Ozer Ozdemir Ferdi Karakütük Aslı Kaya Karakütük

Source: Volume: 29, Issue: 172-83
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Süleyman Demirel University Journal of Natural and Applied Sciences

Subject Terms: İstatistik (Diğer), Statistical Analysis, İstatistiksel Analiz, Data mining, Decision trees, Likert scale data, Family structure survey in Turkey, Applied Statistics, Uygulamalı İstatistik, Veri madenciliği, Karar ağaçları, Likert ölçekli veri, Türkiye aile yapısı araştırması, Statistical Data Science, Statistics (Other), İstatistiksel Veri Bilimi, Computational Statistics, Hesaplamalı İstatistik

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/sdufenbed/issue/91374/1596624

Computationally efficient multi-sample flow cytometry data analysis using Gaussian mixture models

Authors: Philip Rutten Tim R. Mocking Jacqueline Cloos et al.

Source: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-18 (2025)

Subject Terms: Gaussian mixture models, EM algorithm, Flow cytometry, Large-scale data, Clustering, Classification, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2105

Access URL: https://doaj.org/article/9d9f2cf19adf4fea8f9bd7001c32c16d

Equivalence classes and conditional hardness in massively parallel computations

Authors: Na Nongkai, Danupon Scquizzato, M.

Source: Distributed computing. 35(2):165-183

Subject Terms: Conditional hardness, Fine-grained complexity, Massively Parallel Computation, Complex networks, Computational complexity, Data handling, Graph theory, Complexity class, Fine grained, Large-scale data processing, Low bound, Massively parallels, Parallel Computation, Parallel computation model, Equivalence classes

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-319607
https://doi.org/10.1007/s00446-021-00418-2

Grid-based spatiotemporal data association analysis

Authors: LIU Xubo, LIU Jingshu, JIA Li

Source: Zhihui kongzhi yu fangzhen, Vol 47, Iss 5, Pp 58-63 (2025)

Subject Terms: spatio-temporal grid, cross-scale data sharing, dynamic correlation association, Military Science

File Description: electronic resource

Relation: https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1759195877821-1696193519.pdf; https://doaj.org/toc/1673-3819

Access URL: https://doaj.org/article/232f00df7f484d66bb1b8a3bd4da43c1

Weak ties, strong facts: how influencers amplify public health communication on X (formerly Twitter)

Authors: Wu Yanfang

Source: Online Media and Global Communication, Vol 4, Iss 3, Pp 487-522 (2025)

Subject Terms: large-scale data, x/twitter, informational social influence, normative social influence, social conformity, public health communication, Communication. Mass media, P87-96

File Description: electronic resource

Relation: https://doaj.org/toc/2749-9049

Access URL: https://doaj.org/article/1417cca9826b43dcb5a2ae5cf1c636f4

Scale‐Aware Evaluation of Complex Mountain Boundary Layer Flow From Observations and Simulations

Authors: Karl Lapo Anurag Dipankar Brigitta Goger

Source: Geophysical Research Letters. 52

Subject Terms: model evaluation, complex boundary layer flow, Mesoscale modeling, Mountain meteorology, coherent spatiotemporal structures, multi-scale data diagnostics

Confronting the data deluge: How artificial intelligence can be used in the study of plant stress

Authors: Eugene Koh Rohan Shawn Sunil Hilbert Yuen In Lam et al.

Source: Comput Struct Biotechnol J
Computational and Structural Biotechnology Journal, Vol 23, Iss, Pp 3454-3466 (2024)

Subject Terms: 0301 basic medicine, Artificial intelligence, 0303 health sciences, 03 medical and health sciences, Large-scale data, Plant stress resilience, Review Article, Large language models, TP248.13-248.65, Biotechnology

Access URL: https://pubmed.ncbi.nlm.nih.gov/39415960
https://doaj.org/article/8e70c6c34ee94438a589ed80497944c7

On the Unequal Burden of Obesity: Obesity’s Adverse Consequences Are Contingent on Regional Obesity Prevalence

Authors: Jana B. Berkessel Tobias Ebert Jochen E. Gebauer et al.

Contributors: Jana B. Berkessel Tobias Ebert Jochen E. Gebauer et al.

Source: Berkessel, J B, Ebert, T, Gebauer, J E & Rentfrow, P J 2024, ' On the Unequal Burden of Obesity : Obesity’s Adverse Consequences Are Contingent on Regional Obesity Prevalence ', Psychological Science, vol. 35, no. 11, pp. 1260-1277 . https://doi.org/10.1177/09567976241265037

Subject Terms: large-scale data, Adult, Male, obesity, open data, Health Status Disparities, Middle Aged, weight bias, United States, United Kingdom, person-culture match, Socioeconomic Factors, Weight Prejudice, Prevalence, regions, Humans, Female, Obesity

File Description: application/pdf; text/xml

Access URL: https://pubmed.ncbi.nlm.nih.gov/39356556
https://madoc.bib.uni-mannheim.de/68174/
https://doi.org/10.1177/09567976241265037
https://curis.ku.dk/ws/files/416349992/berkessel_et_al_2024_on_the_unequal_burden_of_obesity_obesity_s_adverse_consequences_are_contingent_on_regional_obesity_1.pdf
https://www.repository.cam.ac.uk/handle/1810/376350
https://doi.org/10.1177/09567976241265037

Pipeline for Semantic Segmentation of Large Railway Point Clouds

Authors: Gabrielidis, Hugo Gatti, Filippo Vialle, Stephane et al.

Contributors: Gabrielidis, Hugo Gatti, Filippo Vialle, Stephane et al.

Source: Lecture Notes in Computer Science ISBN: 9783031777301

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Deep Learning, 3D Point Cloud Deep Learning Semantic Segmentation Large Scale data, 3D Point Cloud, Semantic Segmentation, Large Scale data

Access URL: https://hal.science/hal-04811058v1
https://doi.org/10.1007/978-3-031-77731-8_16

Application and adaptation of a scale-up framework for life cycle assessment to resource recovery for waste systems

Authors: Elginoz, Nilay Owusu-Agyeman, Isaac Finnveden, Göran et al.

Source: Journal of Cleaner Production.

Subject Terms: Conceptual design, Environmental sustainability, Full-scale data, Laboratory-scale data: pilot-scale data, Life cycle inventory generation, Upscaling

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-313489
https://doi.org/10.1016/j.jclepro.2022.131720

An automated parallel genetic algorithm with parametric adaptation for distributed data analysis

Authors: Laila Al-Terkawi Matteo Migliavacca

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Subject Terms: Genetic algorithms (GAs), GAs parameter control, Classification, Large-scale data processing, Spark, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/5cd225c356bf47a0b1afd822f1560cde

Integrated single-cell and bulk transcriptomic analysis identifies a novel macrophage subtype associated with poor prognosis in breast cancer

Authors: Qing Wang Yushuai Yu Liqiong Ruan et al.

Source: Cancer Cell International, Vol 25, Iss 1, Pp 1-14 (2025)

Subject Terms: Macrophages, Large-scale data analysis, Tumor microenvironment, Prognosis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Cytology, QH573-671

File Description: electronic resource

Relation: https://doaj.org/toc/1475-2867

Access URL: https://doaj.org/article/ac3599c985c54ab9b01fd55169c2d966

An Efficient and Scalable Approach to Build Co-occurrence Matrix for DNN's Embedding Layer

Authors: Petit, Quentin Li, Chong Emad, Nahid et al.

Contributors: Petit, Quentin Li, Chong Emad, Nahid et al.

Source: Proceedings of the 38th ACM International Conference on Supercomputing. :286-297

Subject Terms: [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-DC]Computer Science [cs]/Distributed, Information extraction, Natural language processing, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Parallel, Distributed computing, Sparse matrix, Computing methodologies → Massively parallel algorithms, and Cluster Computing [cs.DC], Large-scale data analytics, Control methods Deep Learning, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC], Co-occurrence matrix, Computing methodologies → Massively parallel algorithms Natural language processing Information extraction Control methods Deep Learning, Embedding

File Description: application/pdf

Access URL: https://hal.science/hal-04719623v1
https://hal.science/hal-04719623v1/document
https://doi.org/10.1145/3650200.3656629

Optimizing ETL Processes for Big Data Applications

Authors: Kola, Harish Goud¹

Source: International Journal of Engineering and Management Research 14(5):148-161. 2024

THEORETICAL ASPECTS OF MACHINE LEARNING IN STATISTICAL DATA PROCESSING

Authors: M.Mukhitdinova

Subject Terms: Abstract: Machine learning (ML) has emerged as a powerful tool in the field of statistical data processing, enabling the analysis and extraction of insights from complex datasets. This theoretical study explores the fundamental concepts of machine learning in the context of statistical data processing, highlighting its application in various domains such as data mining, predictive analytics, and pattern recognition. Key principles of ML, including supervised and unsupervised learning, model selection, overfitting, and validation techniques, are discussed in relation to statistical methods. The integration of machine learning algorithms with statistical models provides a robust framework for analyzing large-scale data, enhancing predictive accuracy and decision-making processes. Furthermore, the paper examines challenges associated with the implementation of ML in statistical data processing, such as data quality, computational complexity, and interpretability of results. Theoretical advancements in ML, such as deep learning and ensemble methods, are also reviewed for their impact on improving statistical models. The study concludes by emphasizing the growing importance of machine learning in modern statistical analysis and its potential to revolutionize data-driven decision-making. Keywords: machine learning, statistical learning, supervised learning, unsupervised learning, reinforcement learning, risk minimization, regularization, optimization, probabilistic models, deep learning

Fast agglomerative clustering using approximate traveling salesman solutions

Authors: Fränti Pasi Antero Sieranoja Sami Juhani

Source: Journal of Big Data, Vol 12, Iss 1, Pp 1-18 (2025)

Subject Terms: TK7885-7895, Computer engineering. Computer hardware, Travelling salesman problem, Large-scale data, Electronic computers. Computer science, Information technology, QA75.5-76.95, Data clustering, T58.5-58.64

Access URL: https://doaj.org/article/3cc7e404b8f04c0b81d61102f4bcf078