Results 121 to 130 of about 323,393 (284)

Federated Learning FedLTailor: A Dynamic Weight Adjustment and Personalized Fusion Approach

IEEE Access
In this study, we primarily address the issue of uneven quality of client embeddings in existing federated learning frameworks for knowledge graph completion.
Hong Zheng, Shanqin Li
doaj   +1 more source

High‐Spatiotemporal‐Resolution Transparent Thermoelectric Temperature Sensor Arrays Reveal Temperature‐Dependent Windows for Reversible Photothermal Neuromodulation

Advanced Functional Materials, EarlyView.
Thermoelectric temperature sensors are developed that directly measure heat changes during optical‐based neural stimulation with millisecond precision. The sensors reveal the temperature windows for safe reversible neural modulation: 1.4–4.5 °C enables reversible neural inhibition, while temperatures above 6.1 °C cause permanent thermal damage.
Junhee Lee, Dongjo Yoon, Jungha Lee, Duhee Kim, Eunui Kim, Jong‐Hyeok Yoon, Hyuk‐Jun Kwon, Seungjun Chung, Yoonkey Nam, Hongki Kang   +9 more
wiley   +1 more source

3D Digital Light Processing of Redox‐Active Polymers for Electrochemical Applications

Advanced Functional Materials, EarlyView.
3D printing of electrochemically switchable conducting polymers is achieved by Digital Light Processing of redox‐active carbazole‐based polymer materials. Complex 2D and 3D architectures including dot arrays and pyramids clearly show the potential for novel 3D switchable electrochemical devices for sensors, electrochromic displays as well as 3D printed
Christian Delavier, Svenja Bechtold, Marcus H. Dodds, Eva Blasco, Sabine Ludwigs   +4 more
wiley   +1 more source

A multimodal vision knowledge graph of cardiovascular disease. [PDF]

Nat Cardiovasc Res
Rjoob K, McGurk KA, Zheng SL, Curran L, Ibrahim M, Zeng L, Kim V, Tahasildar S, Kalaie S, Senevirathne DS, Gifani P, Losev V, Zheng J, Bai W, de Marvao A, Ware JS, Bender C, O'Regan DP.   +17 more
europepmc   +2 more sources

A Knowledge-based Approach for the Automatic Construction of Skill Graphs for Online Monitoring [PDF]

, 2021
Inga Jatzkowski, Till Menzel, Markus Maurer, Markus Maurer   +3 more
openalex   +1 more source

Metalexicography as Knowledge Graph

, 2019
This short paper presents preliminary considerations regarding LexBib, a corpus, bibliography, and domain ontology of Lexicography and Dictionary Research, which is currently being developed at University of Hildesheim. The LexBib project is intended to provide a bibliographic metadata collection made available through an online reference platform. The
Lindemann, David, Klaes, Christiane, Zumstein, Philipp   +2 more
openaire   +3 more sources

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Conceptual Diagnostics for Knowledge Graphs and Large Language Models [PDF]

Ricardo Sosa, Maria Chang, Karthikeyan Natesan Ramamurthy, Moninder Singh   +3 more
openalex   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source