Results 121 to 130 of about 31,626,034 (311)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Blind Image Quality Assessment Using Visual Neuron Model and Visual Attention Mechanism

International Journal of Digital Multimedia Broadcasting
In this paper, a blind image quality assessment (BIQA) method is proposed, which leverages both a visual neuron model and visual attention mechanism. The research of BIQA is aimed at evaluating the perceptual quality of images without access to reference
Hua-Wen Chang, Ya-Chong Lu, Rui-Jie Sha, Hua Yang   +3 more
doaj   +1 more source

Non‐Additive Criteria Assessment in Sustainability Evaluation of High Entropy Alloys: A Toxicity‐Weighted Framework

Advanced Engineering Materials, EarlyView.
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic, Oladele A. Ogunseitan, Julie M. Schoenung   +2 more
wiley   +1 more source

Artificial Intelligence and Computational Science

, 2022
Repin, Sergey, Neittaanmäki, Pekka
openaire   +1 more source

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

Advanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw, Zhanhong Yang, Anne Ladegaard Skov, Magdalena Skowyra   +3 more
wiley   +1 more source

High‐Entropy Alloy Interlayers Toward Advanced Joining for High‐Performance Structural Applications: Current Progress and Emerging Challenges

Advanced Engineering Materials, EarlyView.
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan, Jiafen Song, Jinglong Li, Jiangtao Xiong, Tao Yang   +4 more
wiley   +1 more source

Impact of Hydrogen Incorporation on Electronic and Magnetic Structure of X2CrNi18‐9 Stainless Steel

Advanced Engineering Materials, EarlyView.
Hydrogen uptake in austenitic stainless steel alters both its electronic and magnetic structure. Seebeck measurements reveal hydrogen‐induced shifts in the electronic density of states, while neutron scattering uncovers nanoscale inhomogeneities that grow upon hydrogen incorporation, with the most pronounced effect observed in the PBF as‐built state ...
Torben Tappe, Louis Becker, Gaurav Kanu, Thomas F. Headen, Dirk Honecker, Gabi Schierning, Santiago Benito, Sebastian Weber, Klara Lünser, Sabrina Disch   +9 more
wiley   +1 more source

Bootstrapping Monte Carlo tree search with an imperfect heuristic

, 2012
10.1007/978-3-642-33486-3_11Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)7524 LNAIPART 2164 ...
Lee, W.-S., Lee W.,, Tze-Yun LEONG,, Wee-Sun Lee, Nguyen T.,, Leong, T.-Y., Tze-Yun Leong, Truong-Huy Dinh Nguyen, Nguyen, T.-H.D.   +8 more
core   +1 more source

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

UCOPhyRehab++: A multi-modal and multi-view dataset for human rehabilitation analysis

Scientific Data
The rehabilitation of patients with musculoskeletal disorders is usually associated with the performance of prescribed exercises at home. Performing these exercises without medical supervision may lead to incorrect execution, resulting in secondary ...
Rafael Aguilar-Ortega, Jorge Zafra-Palma, Rafael Muñoz-Salinas, Manuel J. Marin-Jimenez   +3 more
doaj   +1 more source