Results 191 to 200 of about 326,649 (319)

Non-convex optimization for inverse problem solving in computer-generated holography. [PDF]

Light Sci Appl
Sui X, He Z, Chu D, Cao L.
europepmc   +1 more source

Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization. [PDF]

PLoS One, 2020
Abry P, Pustelnik N, Roux S, Jensen P, Flandrin P, Gribonval R, Lucas CG, Guichard É, Borgnat P, Garnier N.   +9 more
europepmc   +1 more source

Effective Linear Calculational Method for Nonlinear Optimization with a Convex Polyhedral Objective Function and Linear Constraints

, 2002
Busaba Phruksaphanrat, Ario Ohsato
openalex   +1 more source

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

Advanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds, Donan Satria Yudha, Parvez Alam   +2 more
wiley   +1 more source

Convex Analysis and Nonlinear Optimization: Theory and Examples. Jonathan M. Borwein and Adrian S. Lewis, Springer, New York, 2000

, 2002
Michael J. Todd
openalex   +1 more source

Ultrathin Graphene Strain Sensor Arrays for High‐Sensitivity Multifunctional Sensing with Millimeter‐Scale Resolution

Advanced Sensor Research, EarlyView.
This study reports an ultrathin graphene‐based strain sensor array fabricated on a 5 µm polyimide substrate. The array achieves millimeter‐scale spatial resolution (≈70 devices cm−2), high sensitivity with a gauge factor of 144, and reliable durability over 5000 cycles.
Wenchao Luo, Hu Guo, Xubing Li, Jun Yang, Yueran Ding, Xuejun Wang, Qiuming Song, Cheng Wang, Hao Sun, Wenjun Zhang, Yuan Jia   +10 more
wiley   +1 more source

Design of stabilizing state feedback for delay systems via convex optimization [PDF]

, 2005
Éric Féron, V. Balakrishnan, Stephen Boyd   +2 more
openalex   +1 more source

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

Advanced Theory and Simulations, EarlyView.
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic, Natasha Dropka, Xia Tang, Janina Zittel   +3 more
wiley   +1 more source

A robust maximin approach for MIMO communications with imperfect channel state information based on convex optimization [PDF]

, 2005
Antonio Pascual‐Iserte, Daniel P. Palomar, Ana I. Pérez-Neira, M.A. Lagunas   +3 more
openalex   +1 more source

Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques

Advanced Theory and Simulations, EarlyView.
This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka, Milena Petkovic, Christiane Frank‐Rotsch, David Linke, Martin Holena   +4 more
wiley   +1 more source