Results 111 to 120 of about 96,071 (258)

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

On finite nilpotent groups with the same enhanced power graph

3 ...
Mirzargar, M., Sorgun, S., Arani, M. J. Nadjafi   +2 more
openaire   +2 more sources

BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis

CoRR
Graph Neural Networks (GNNs) have been widely used in diverse brain network analysis tasks based on preprocessed functional magnetic resonance imaging (fMRI) data. However, their performances are constrained due to high feature sparsity and inherent limitations of domain knowledge within uni-modal neurographs.
Rui Dong, Zitong Wang, Jiaxing Li, Weihuang Zheng, Youyong Kong   +4 more
openaire   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Neural grid control systems with predictive transient stability enhancement enabling 100 percent renewable integration through distributed intelligence and real time topology reconfiguration

Scientific Reports
The galloping movement toward completely renewable power systems means that new control architectures are needed that can cope with increased variability to date whilst maintaining short-lived stability in low-inertia networks.
Zhiliang Cui, Yuze Liang
doaj   +1 more source

Dynamic Reconfiguration Method of Active Distribution Networks Based on Graph Attention Network Reinforcement Learning

Energies
The quantity of wind and photovoltaic power-based distributed generators (DGs) is continually rising within the distribution network, presenting obstacles to its safe, steady, and cost-effective functioning.
Chen Guo, Changxu Jiang, Chenxi Liu
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Multi Agent Deep Reinforcement Learning for Joint Power Control and Beamforming in mmWave-NOMA HetNets

IEEE Open Journal of the Communications Society
Millimeter-wave (mmWave) heterogeneous networks (HetNets) integrated with non-orthogonal multiple access (NOMA) are a promising solution for meeting the capacity demands of next-generation wireless systems.
Ayman Rabee, Imad Barhumi
doaj   +1 more source

Swelling‐Programmed Topographical Guidance for Dynamic Spheroid Self‐Assembly via a Mechanochemical Hydrogel Niche

Advanced Functional Materials, EarlyView.
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam, Seon Yeong Chae, Young Woo Kwon, Hye Jin Heo, Hye Rin Lee, Ji Hyeok Lee, Dong‐Wook Han, Yun Hak Kim, Suck Won Hong   +8 more
wiley   +1 more source

Enhancing the Prediction of Employee Turnover With Knowledge Graphs and Explainable AI

IEEE Access
Employee turnover poses a critical challenge that affects many organizations globally. Although advanced machine learning algorithms offer promising solutions for predicting turnover, their effectiveness in real-world scenarios is often limited because ...
Mariam Al Akasheh, Omar Hujran, Esraa Faisal Malik, Nazar Zaki   +3 more
doaj   +1 more source