Results 91 to 100 of about 6,268 (249)

PERINGKASAN TEKS OTOMATIS PADA JURNAL BERBAHASA INDONESIA DENGAN METODE TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) [PDF]

, 2021
Perkembangan teknologi internet menyebabkan perkembangan jumlah dokumen digital di internet semakin meningkat. Tetapi dengan keterbatasan manusia untuk memproses informasi baik dari sumber buku, jurnal atau sumber informasi yang lain, maka pembaca ...
Saputra, M. Fauzi Adi
core  

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han, Julian M. Rosalie, Jan Radners, Mauro Madia, Philipp von Hartrott, Birgit Skrotzki   +5 more
wiley   +1 more source

Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques

Journal of Information and Organizational Sciences
The proliferation of malicious webpages presents a growing threat to online security, necessitating advanced detection methods to mitigate risks. This paper proposes a novel approach that integrates Natural Language Processing (NLP) techniques with an ...
Althaf Ali A, Rama Devi K, Syed Siraj Ahmed N, Ramchandran P, Parvathi S   +4 more
doaj   +1 more source

Stock market prediction based on term frequency-inverse document frequency

, 2015
This paper presents a new method to predicting the change of stock prices by utilizing text mining news of the stock market. Term Frequency Inverse Document Frequency (TF- IDF) is one of the most useful and widely used concepts in information retrieval ...
Salim, Naomie, Jarrah, Mu’tasem
core  

In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy

Advanced Engineering Materials, EarlyView.
A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal, Tae‐Hyeok Kang, Pyuck‐Pa Choi, Subin Lee, Christoph Kirchlechner   +4 more
wiley   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Document vectorization method using network information of words.

PLoS ONE, 2019
We propose a new method for vectorizing a document using the relational characteristics of the words in the document. For the relational characteristics, we use two types of relational information of a word: 1) the centrality measures of the word and 2 ...
Sang Yup Lee
doaj   +1 more source

Personalized Allocation of English Teaching Resources through Weight Calculation Based on Term Frequency-Inverse Document Frequency

International Journal of Emerging Technologies in Learning (iJET), 2020
Yuxin Tian (1988.2) Female, was born in Shaanxi Xi'an. She graduated from New York University, M.A. in TESOL. Now, she works at School of International Education, Northwest University. Her main research interests include Second Language Acquisition, Second Language Teaching and Technology, Intercultural Communication.
openaire   +2 more sources

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Probabilistic retrieval models - relationships, context-specific application, selection and implementation

, 2011
PhDRetrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes.
Wang, Jun
core