Results 61 to 70 of about 495,055 (365)
CACLENS: A Multitask Deep Learning System for Enzyme Discovery
Advanced Science, EarlyView.CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi +5 more
wiley +1 more source
International Review of Research in Open and Distributed Learning, 2015 Mining social web data is a challenging task and finding user interest for personalized and non-personalized recommendation systems is another important task.
Javubar Sathick, Jaya Venkat
doaj +3 more sources
Folks in Folksonomies: Social Link Prediction from Shared Metadata [PDF]
, 2010 Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create light-weight semantic scaffolding to organize and share content. To date, the interplay of the social and semantic components of
Barrat, Alain +4 more
core +3 more sources
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
PENCARIAN BUDAYA MENGGUNAKAN ONTOLOGI DAN ATURAN BERBASIS SEMANTIC WEB UNTUK SISWA SD
Multitek Indonesia, 2016 Internet users every year have increased rapidly. One function of the Internet is that it is used as a source of information. Keywords used in search engine will help to find information. Semantic Web technologies can be used to help make the search more
Rendra Husni Thamrin
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Diffusion of Latent Semantic Analysis as a Research Tool: A Social Network Analysis Approach [PDF]
, 2010 Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from information retrieval to machine learning and so on. In this paper, we chart
Darvish, Hamid R., Tonta, Yaşar
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Semantic Network Analysis of Ontologies [PDF]
, 2011 A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, current ontology engineering tools provide only basic functionalities for analyzing ontologies.
Hoser, Bettina +4 more
core
The live social semantics application: A platform for integrating face-to-face presence with on-line social networking [PDF]
, 2010 We describe a novel application that integrates real-world data on the face-to-face proximity of individuals with their identities and contacts in on-line social networks.
Alani, Harith +5 more
core +3 more sources