Results 141 to 150 of about 47,047 (265)

A Hybrid Deep Learning Approach With Multimodal Neurocognitive Features and Quantum Optimization for Early Detection of Alzheimer's Disease and Related Dementias

Engineering Reports, Volume 8, Issue 6, June 2026.
A hybrid deep learning framework integrating convolutional–transformer networks and global gated attention is proposed for early dementia detection using multimodal MRI and speech data. Quantum marine predator optimization enhances classification performance, achieving superior accuracy and robustness compared with existing state‐of‐the‐art methods ...
R. Anandan, V. S. Shaisundaram, A. Abirami, Saravanakumar Sengottaiyan   +3 more
wiley   +1 more source

Enhanced solar light driven remediation of toxic dye contaminated water using strontium doped BiVO4/gC3N4 with mechanistic insights and kinetic evaluation

Discover Materials
In this study, a Sr-doped BiVO4/g-C3N4 (Sr@BiVO4/g-C3N4) heterojunction photocatalyst was successfully synthesized through a facile hydrothermal-assisted thermal treatment route.
Prafulla Kumar Panda, Rasmirekha Pattanaik, Debapriya Pradhan, Rishabh Kamal, Suresh Kumar Dash   +4 more
doaj   +1 more source

SOLPS-ITER modification for impurity transport modelling in the tokamak pedestal region

Nuclear Materials and Energy
Kinetic corrections to SOLPS-ITER fluid equations are made to extend their applicability for description of the neoclassical part of impurity transport to collisionless regimes of the main ions.
V. Korzueva, E. Kaveeva, V. Rozhansky, X. Bonnin   +3 more
doaj   +1 more source

Multi-staged ERO2.0 simulation of material erosion and deposition in recessed mirror assemblies in JET and ITER

Publisher Copyright: © 2024 The Author(s). Published by IOP Publishing Ltd on behalf of the IAEA. All rights reserved.The deposition/erosion on optical diagnostic components—mirrors—is a critical issue in reactor class devices with long-pulsed high ...
J. Romazanov, T. Wauters, S. Brezinsek, L. Moser, Pitts, R., A. Terra, Wauters, T., M. Groth, Moser, L., S. Rode, Brezinsek, S., Kirschner, A., Rode, S., Matveev, D., R.A. Pitts, Terra, A., A. Kirschner, S. Wiesen, Groth, M., Romazanov, J., D. Matveev, Wiesen, S.   +21 more
core   +1 more source

Coupled Clustering in Hierarchical Matrices for the Oseen Problem

International Journal for Numerical Methods in Fluids, Volume 98, Issue 6, Page 751-765, June 2026.
Fluid flow problems can be modelled by the Navier‐Stokes or, after linearization, by the Oseen equations. Their discretization results in linear systems in saddle point form which are typically very large and need to be solved iteratively. We propose a novel block structure for hierarchical matrices which is then used to build preconditioners for the ...
Jonas Grams, Sabine Le Borne
wiley   +1 more source

ITERATION AND RECURSION [PDF]

Proceedings of the National Academy of Sciences, 1968
Eilenberg, S., Elgot, C. C.
openaire   +3 more sources

Gram Decay and Intrinsic Dimensions of Krylov Subspaces

Numerical Linear Algebra with Applications, Volume 33, Issue 3, June 2026.
ABSTRACT Krylov subspace methods solve large sparse linear systems Ax=b$$ Ax=b $$ by building a sequence of polynomial approximations to A−1b$$ {A}^{-1}b $$ from successive matrix‐vector products. In finite precision, the number of numerically independent directions that can be extracted from this sequence is bounded by the intrinsic information ...
Stephen J. Thomas
wiley   +1 more source

EUROfusion contributions to ITER nuclear operation

Nuclear Fusion
ITER is of key importance in the European fusion roadmap as it aims to prove the scientific and technological feasibility of fusion as a future energy source.
X. Litaudon, U. Fantz, R. Villari, V. Toigo, M.-H. Aumeunier, J.-L. Autran, P. Batistoni, E. Belonohy, S. Bradnam, M. Cecchetto, A. Colangeli, F. Dacquait, S. Dal Bello, M. Dentan, M. De Pietri, J. Eriksson, M. Fabbri, G. Falchetto, L. Figini, J. Figueiredo, D. Flammini, N. Fonnesu, L. Frassinetti, J. Galdón-Quiroga, R. Garcia-Alia, M. Garcia-Munoz, Z. Ghani, J. Gonzalez-Martin, E. Grelier, L. Di Grazia, B. Grove, C.L. Grove, A. Gusarov, B. Heinemann, A. Hjalmarsson, O. Hyvärinen, V. Ioannou-Sougleridis, L. Jones, H.-T. Kim, M. Kłosowski, M. Kocan, B. Kos, L. Kos, D. Kotnik, E. Laszynska, D. Leichtle, I. Lengar, E. Leon-Gutierrez, A.J. López-Revelles, S. Loreti, M. Loughlin, D. Marcuzzi, K.G. Mcclements, G. Mariano, M. Mattei, K. Mergia, J. Mietelski, R. Mitteau, S. Moindjie, D. Munteanu, R. Naish, S. Noce, L.W. Packer, S. Pamela, R. Pampin, A. Pau, A. Peacock, E. Peluso, Y. Peneliau, J. Peric, V. Radulović, D. Ricci, F. Rimini, L. Sanchis-Sanchez, P. Sauvan, M.I. Savva, G. Serianni, C.R. Shand, A. Snicker, L. Snoj, I.E. Stamatelatos, Ž. Štancar, N. Terranova, T. Vasilopoulou, R. Vila, J. Waterhouse, C. Wimmer, D. Wünderlich, A. Žohar, the NBTF Team, JET Contributors, the EUROfusion Tokamak Exploitation Team   +91 more
doaj   +1 more source

Iterative Bayes

Intelligent Data Analysis, 2000
Naive Bayes is a well known and studied algorithm both in statistics and machine learning. Bayesian learning algorithms represent each concept with a single probabilistic summary. In this paper we present an iterative approach to naive Bayes. The iterative Bayes begins with the distribution tables built by the naive Bayes.
openaire   +3 more sources

Damage evaluation under thermal fatigue of a vertical target full scale component for the ITER divertor

, 2007
International audienceAn extensive development programme has been carried out in the EU on high heat flux components within the ITER project. In this framework, a Full Scale Vertical Target (VTFS) prototype was manufactured with all the main features of ...
Missirlian, Marc, Bobin-Vastra, I., Escourbiac, F., Durocher, A., Merola, M., Schedler, B.   +5 more
core   +1 more source