Suchergebnisse - "LDA"

Predictive modeling on the mechanical properties of marine coral sand-clay mixtures based on machine learning algorithms and triaxial shear tests

Autoren: Yang, Bowen Xu, Kaiwei Liu, Yanqi et al.

Quelle: Frontiers in Marine Science. 12

Schlagwörter: empirical formula, LDA-BPNN model, machine learning, marine coral sand-clay mixture, strength prediction

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-245378
https://doi.org/10.3389/fmars.2025.1630481

Estimating shear strength of dredged soils for marine engineering: experimental investigation and machine learning modeling

Autoren: Yao, Zheng Xu, Kaiwei Wang, Zejin et al.

Quelle: Frontiers in Earth Science. 13

Schlagwörter: dredged soil, empirical formula, LDA-BA-ANN model, machine learning, shear strength

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-243085
https://doi.org/10.3389/feart.2025.1645393

Evaluating service quality of express logistics service based on online reviews using LDA-LSTM

Autoren: Hou, Jiahe Liu, Weihua Cao, Yuenan et al.

Quelle: JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING. 9(3):308-327

Schlagwörter: Scraping of reviews, LDA model and service elements, Sentiment analysis, Excellent rating, Logistics service

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-206270
https://liu.diva-portal.org/smash/get/diva2:1888971/FULLTEXT01.pdf

Time Period Categorization in Fiction: A Comparative Analysis of Machine Learning Techniques

Autoren: Westin, Fereshta

Quelle: Cataloging & Classification Quarterly. :1-30

Schlagwörter: Cataloging for digital resources, fiction, LDA, machine learning, SBERT, text analysis, TF-IDF, time period categorization, Library and Information Science, Biblioteks- och informationsvetenskap

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-31755
https://doi.org/10.1080/01639374.2024.2315548

Exploring Monacha species from the island of Corfu (NW Greece) by an integrative approach: new insights on M. claustralis (Rossmässler, 1834), M. parumcincta (Rossmässler, 1834) and allied species (Gastropoda, Eupulmonata, Hygromiidae)

Autoren: Manganelli, Giuseppe Pieńkowska, Joanna R. Barbato, Debora et al.

Weitere Verfasser: Manganelli, Giuseppe Pieńkowska, Joanna R. Barbato, Debora et al.

Quelle: 1250:201-242

Schlagwörter: allometry, genitalia, LDA ratio extractor, morphometry, nucleotide sequences, PCA ratio spectrum, phylogeography, shell

Zugangs-URL: https://www.biodiversitylibrary.org/part/433136

A three-dimensional integrated evaluation system for product competitiveness under complex demands: An LDA and PSO-FAHP based hybrid optimization approach

Autoren: Kun Wang Kexiang Li Xueqian Jiang et al.

Quelle: Alexandria Engineering Journal, Vol 128, Iss, Pp 394-412 (2025)

Schlagwörter: Product Evaluation System, Particle Swarm Optimization (PSO), Latent Dirichlet Allocation (LDA), Fuzzy Analytic Hierarchy Process (FAHP), TA1-2040, Engineering (General). Civil engineering (General)

Zugangs-URL: https://doaj.org/article/3a659d97d98b4e8e89038293febf0202

Exploring Monacha species from the island of Corfu (NW Greece) by an integrative approach: new insights on M. claustralis (Rossmässler, 1834), M. parumcincta (Rossmässler, 1834) and allied species (Gastropoda, Eupulmonata, Hygromiidae)

Autoren: Giuseppe Manganelli Joanna R. Pieńkowska Debora Barbato et al.

Quelle: ZooKeys. 1250:201-242

Schlagwörter: Allometry, LDA Ratio Extractor, PCA Ratio Spectrum, genitalia, morphometry, nucleotide sequences, phylogeography, shell

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11365/1299294
https://zookeys.pensoft.net/article/159585/list/8/
https://doi.org/10.3897/zookeys.1250.159585

Science, technology and society in chemistry education through the lens of topic modeling

Autoren: Rodrigues, Flávio Leite de Sousa, Galileu Batista Lima Maia, Marcelo de Andrade

Quelle: International Journal of Science and Research Archive. 16:2122-2129

Schlagwörter: Sustainability in education, Bibliometric analysis, LDA, Educational trends, Gender authorship, Chemistry education, Science teaching, CTS, Topic modeling

AI-Powered Athlete Identification System for Real-Time Cricket Analytics

Autoren: B. Jyothi Chandra R. R. Shantha Spandana K. Bhaskar et al.

Quelle: International Journal of Applied Engineering and Management Letters. :132-140

Schlagwörter: cricket, LDA, Facerecognition, Deep learning, player detection, CNN

Recurrent Neural Network Optimized by Grasshopper for Accurate Audio Data-Based Diagnosis of Parkinson's Disease

Autoren: Saif Wali Ali Alsudani Ghassan Khudair Saud

Quelle: Wasit Journal for Pure Sciences, Vol 4, Iss 2 (2025)

Schlagwörter: Linear Discriminant Analysis (LDA), feature extraction, Science, Parkinson's disease, Long Short-Term Memory (LSTM), speech signal analysis, Grasshopper Optimization Algorithm (GOA)

Zugangs-URL: https://doaj.org/article/af74d88520f34dcc91d1bba8676bbe35

New Generation Working Models With Text Mining And Topic Modeling

Autoren: Deniz Yıldız Hüseyin Koçak

Quelle: Volume: 5, Issue: 11-16
Fenerbahçe Üniversitesi Sosyal Bilimler Dergisi

Schlagwörter: New Generation Working Models, Text Mining, Topic Modeling, LDA, Policy and Administration (Other), Politika ve Yönetim (Diğer), Strateji, Yönetim ve Örgütsel Davranış (Diğer), Strategy, Management and Organisational Behaviour (Other), Yeni Nesil Çalışma Modelleri, Metin Madenciliği, Konu Modelleme

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/fbujoss/issue/93167/1652981

Exploring Public Sentiment Towards Agile and Digital Transformation: A Refined Methodological Approach Through Twitter Sentiment Analysis and Topic Modeling

Autoren: Hidri Florenc Çaushi Blerta Abazi Tigno Gladiola

Quelle: SEEU Review, Vol 20, Iss 1, Pp 16-30 (2025)

Schlagwörter: agile methodologies, Political science (General), latent dirichlet allocation (lda), sentiment analysis, topic modeling, public opinion, digital transformation, twitter data, Law, JA1-92, vader sentiment tool

Zugangs-URL: https://doaj.org/article/bf42708f439c481980c7d2b9b48fdc85

Diversity of Stomylotrema spp. in the Mexican tropical lowlands: the case of Stomylotrema bijugum and Stomylotrema vicarium (Digenea: Stomylotrematidae), parasites of aquatic and passerine birds

Autoren: Marcelo Tonatiuh González-García Valerie Pérez-Mancilla César A. Ríos-Muñoz et al.

Quelle: Parasitology, Pp 1-16

Schlagwörter: PCA, LDA, new records, QD415-436, Infectious and parasitic diseases, RC109-216, haplotype network, phylogeny, Biochemistry, Microbiology, QR1-502, birds, Mexico, Stomylotrema

Zugangs-URL: https://doaj.org/article/3d3600e122694359833cba9dd285a609

Understanding the dynamics of urban just transitions: An interdisciplinary analysis with latent dirichlet allocation (LDA)

Autoren: Yuhang Sun Ye Luo Xuepeng Qian et al.

Quelle: Journal of Urban Management, Vol 14, Iss 2, Pp 485-499 (2025)

Schlagwörter: Urbanization. City and country, Sustainable development, JF20-2112, Socio-ecological justice, Latent dirichlet allocation (LDA), HT361-384, Political institutions and public administration (General), Urban just transitions, Socio-ecological-technological system (SETS)

Zugangs-URL: https://doaj.org/article/1e8d5b990c794b13a8c06a29b3d35bbf

What is forensic chemistry research in Brazil made of? A descriptive and topic modeling analysis of CAPES theses and dissertations

Autoren: Rodrigues, Flávio Leite de Sousa, Galileu Batista Lima Maia, Marcelo de Andrade

Quelle: International Journal of Science and Research Archive. 15:695-705

Schlagwörter: Topic Modeling, LDA, Text Mining, FOS: Other medical sciences, Scientific Mapping, Electrochemistry, CAPES, Graduate Education, Chemometrics, Forensic Chemistry, Brazil

A machine learning based regulatory risk index for cryptocurrencies

Autoren: Xinwen Ni Taojun Xie Wolfgang Karl Härdle et al.

Quelle: Computational Statistics. 40:3563-3583

Schlagwörter: ddc:004, ddc:510, Cryptocurrency, Regulatory risk, LDA, News classification, 510 Mathematik, 004 Informatik, Index

Dateibeschreibung: application/pdf

Zugangs-URL: http://edoc.hu-berlin.de/18452/34813
https://doi.org/10.18452/34180

Enotourist satisfaction: A multidimensional approach

Autoren: Ricardo Sellers-Rubio Juan L Nicolau-Gonzálbez Fernando Campayo-Sánchez et al.

Weitere Verfasser: Ricardo Sellers-Rubio Juan L Nicolau-Gonzálbez Fernando Campayo-Sánchez et al.

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

Schlagwörter: Experience, Ordinal logistic regression, experience, ordinal logistic regression, LDA, Wine tourism, Enotourism, enotourism

Dateibeschreibung: 21 page(s); application/pdf

Zugangs-URL: http://hdl.handle.net/10045/153676

The influence of AI on price forecasting. The view of the academic community

Autoren: Alexandra-Cristina-Daniela Ciuverca Simona‑Vasilica Oprea

Quelle: Journal of Business Economics and Management, Vol 26, Iss 1 (2025)

Schlagwörter: HF5001-6182, AI, LDA, sentiment analysis, volatility, Business, price prediction, research publication

Zugangs-URL: https://doaj.org/article/da3dd065e404433fabddecc287c22e31

Current status and research progress in architectural programming: A comparative analysis between China and other countries

Autoren: Shitao Jin Huijun Tu

Quelle: Frontiers of Architectural Research, Vol 14, Iss 2, Pp 487-509 (2025)

Schlagwörter: Project management, Bibliometric review, Architecture, Systematic review, LDA topic modeling, Construction industry, NA1-9428, Architectural programming

Zugangs-URL: https://doaj.org/article/b79f902999bb4813833934d8ba350557

Flight testing of laser-optical techniques for future optical air data sensors

Autoren: Kliebisch, Oliver Lorbeer, Raoul-Amadeus Mahnke, Peter et al.

Quelle: CEAS Aeronautical Journal. 16:231-242

Schlagwörter: Lidar, Sensors, LDA, Lasers, Avionics, 0207 environmental engineering, TDLAS, 02 engineering and technology, Optical air data Sensors Avionics Lasers Lidar Spectroscopy LDA TDLAS, 01 natural sciences, Optical Air Data, Spectroscopy, 0105 earth and related environmental sciences

Zugangs-URL: https://elib.dlr.de/209120/
https://doi.org/10.1007/s13272-024-00792-0
https://elib.dlr.de/199345/