Results 181 to 190 of about 720,784 (299)

Kinematic‐Aware Diffusion Model Correction for Human Motion Generation via Pose Transfer

Advanced Intelligent Systems, EarlyView.
Overall architecture of the proposed video kinematic pose correction pipeline. The framework integrates diffusion‐based video generation, multi‐estimator skeleton extraction, temporal Kalman smoothing, biomechanical constraint enforcement, and pose‐conditioned frame regeneration via Pose‐guided Image Synthesis and Editing. This paper presents Kinematic‐
Alaa Abdullah Albaghdadi, Ahmad R. Naghsh‐Nilchi   +1 more
wiley   +1 more source

Inverse Design of Electromagnetic‐Induced Transparency Metasurface Using Conditional Generative Adversarial Network

Advanced Intelligent Systems, EarlyView.
This work develops a CGAN‐based metasurface inverse design method. It adopts an integrated workflow of pixel‐based graphical modeling, simulation, and GAF transform for automatic, batch metasurface dataset construction. With a U‐Net architecture, the CGAN generates high‐resolution, high‐fidelity metasurface structures. EIT verification achieves over 90%
Guirong Feng, Jiaze Xu, Yabo Lu, Zixiang Wu, Ziheng Zhou, Yueming Gao, Zhizhang (David) Chen   +6 more
wiley   +1 more source

Graph-Based Regularization of Binary Classifiers for Texture Segmentation

, 2013
International audienceIn this paper, we propose to improve a recent texture-based graph regularization model used to perform image segmentation by including a binary classifier in the process.
Boné, Romuald, Olivier, Julien, Faucheux, Cyrille   +2 more
core   +1 more source

Convergence rates of general regularization methods for statistical inverse problems and applications [PDF]

During the past the convergence analysis for linear statistical inverse problems has mainly focused on spectral cut-off and Tikhonov type estimators. Spectral cut-off estimators achieve minimax rates for a broad range of smoothness classes and operators,
Bissantz, Nicolai, Ruymgaart, F., Munk, Axel, Hohage, T.   +3 more
core  

Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley   +1 more source

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

Linear prediction models with graph regularization for Web-page categorization

, 2006
We present a risk minimization formulation for learning from both text and graph structures which is motivated by the problem of collective inference for hypertext document categorization.
Dom, Byron, Popescul, Alexandrin, Zhang, Tong   +2 more
core  

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source

Advanced Mathematical Extensions of Data Field Theory: Hyperbolic Geometry, Gauge Theory, and Higher Structures

Advanced Physics Research, EarlyView.
This graphical abstract illustrates the unified framework of Data Field Theory (DFT), integrating hyperbolic geometry for hierarchical embedding, gauge theory for internal symmetries, renormalization group for multi‐scale dynamics, Lévy processes for heavy‐tailed fluctuations, noncommutative geometry for quantum‐inspired cognition, and higher ...
Mohammadreza Nehzati
wiley   +1 more source

Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses

Archaeological Prospection, EarlyView.
ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro, Antonio Merico, Vincenzo Sapia, Gianluca Catanzariti, Valerio Materni, Giacomo Patrucco, Riccardo Olivito, Anna Anguissola, Ilaria Cangiano, Antonia Spanò   +9 more
wiley   +1 more source