Results 61 to 70 of about 43,882,578 (207)

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik   +6 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced 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

RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns

open access: yes
Detecting content generated by large language models (LLMs) is crucial for preventing misuse and building trustworthy AI systems. Although existing detection methods perform well, their robustness in out-of-distribution (OOD) scenarios is still lacking ...
Chen, Xin   +9 more
core   +1 more source

A new heart to know the lord : rhetorical analysis of Jeremiah 21-24 [PDF]

open access: yes
The purpose of the present study is an application of rhetorical analysis to the interpretation of Jeremiah 21-24. Chapter 1 reviews previous studies of the book of Jeremiah in modern scholarship.
Choi, Soon Jin
core   +3 more sources

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Journal of the Pali Text Society.

open access: yes, 1882
Mode of access: Internet.1882-1927.
Pali Text Society (London, England)
core  

Text+ goes BiblioCon – das Resümee

open access: yes
Autor:innen: Susanne Al-Eryani, José Calvo Tello, Barbara Fischer, Philippe Genêt Das wohl meistfotografierte Motiv der BiblioCon: Die  Lichtinstallation an der Decke in Saal 3 des CCH.
Text+ Mitglied
core   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science

open access: yesAdvanced Intelligent Systems, EarlyView.
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska   +7 more
wiley   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian   +10 more
wiley   +1 more source

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