Results 41 to 50 of about 10,542,712 (237)
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Detection Of phishing URLs using a Term Frequency Inverse Document Frequency (TF-IDF).
Phishing attacks continue to pose a threat to online security as hackers employ more sophisticated tactics to trick users into revealing sensitive information. One common method is creating fake login URLs that mimic legitimate websites, making it challenging for users to distinguish between safe and dangerous links.
Sibhathallah M -, Sathya Srinivas D -
openaire +1 more source
Penelitian ini bertujuan untuk meningkatkan dan mengimplementasikan Metode Term Frequency Inverse Document Frequency dengan metode Class Frequency pada peringkasan berita online.
Juhar
core
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
Abstract This paper proposes an improved Latent Semantic Indexing (LSI) with Term Frequency-Inverse Document Frequency (TFIDF) variant for software traceability. The main advantage of the method is the simplicity and accuracy of the algorithm such that it can produce high precision and recall.
R Tumeng, D N A Jawawi, M A Isa
openaire +1 more source
Algoritma Term Frequency – Inverse Document Frequency (TF-IDF) dan K-Means Clustering Untuk Menentukan Kategori Dokumen [PDF]
The development of technology is speedy; one of the results is developing documents in research articles. Searching for documents in a repository will take a long time if they are not stored grouped by document category.
Arifin, Rizal +4 more
core
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 +6 more
wiley +1 more source
Penelitian ini bertujuan untuk mendeteksi dan meningkatkan akurasi pembobotan metode Ter Frequency-Inverse Document Frequency pada dokumen skripsi berdasarkan latar belakang dengan menggunakan pengukuran Cosine Similarity.Data ini diperoleh dari hasil (1)
Nur Aeni Firman
core
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source

