Results 61 to 70 of about 62,392 (177)

Second-order Shape Optimization for Geometric Inverse Problems in Vision [PDF]

, 2014
We develop a method for optimization in shape spaces, i.e., sets of surfaces modulo re-parametrization. Unlike previously proposed gradient flows, we achieve superlinear convergence rates through a subtle approximation of the shape Hessian, which is ...
Balzer, J., Soatto, S.
core   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems

, 2003
Decision-making is a process of choosing among alternative courses of action for solving complicated problems where multi-criteria objectives are involved.
Abraham, Ajith, Jain, Lakhmi, Tran, Cong
core   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Improving Robot Precision Positioning Using a Neural Network Based on Levenberg Marquardt–APSO Algorithm

IEEE Access, 2021
This paper proposes a robot calibration method that uses an extended Kalman filter (EKF) and a neural network based on Levenberg–Marquardt combined accelerated particle swarm optimization (LMAPSO) to improve the accuracy of the robot’s ...
Ha Xuan Nguyen, Hung Quang Cao, Ty Trung Nguyen, Thuong Ngoc-Cong Tran, Hoang Ngoc Tran, Jae Wook Jeon   +5 more
doaj   +1 more source

Complete determination of the orbital parameters of a system with N+1 bodies using a simple Fourier analysis of the data

, 2015
Here we show how to determine the orbital parameters of a system composed of a star and N companions (that can be planets, brown-dwarfs or other stars), using a simple Fourier analysis of the radial velocity data of the star.
Correia, Alexandre C. M.
core   +1 more source

ANN‐Enabled Analysis of Nanoparticle Aggregation and Hall Effects on Ag‐H2O Nanofluid Flow Over a Spinning Disk With Convective Heating and Thermal Radiation

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The exceptional characteristics of nanofluids have turned out to be a significant development in revolutionizing heat transfer mechanisms in several electronic cooling devices and industrial manufacturing processes. The present study deals with the investigation of the second law of thermodynamics applied to the steady MHD fluid flow above a ...
Dixita Sonowal, Bidyasagar Kumbhakar
wiley   +1 more source

Advanced Investigation of the Elimination of Methylene Blue From Wastewater Using Activated Carbon–Copper Oxide Nanowires: New Perspectives With Statistical Physical Modeling

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In this study, the actual route of methylene blue (MB) dye adsorption by using fabricated polyfunctional activated carbon–copper oxide nanowires (AC@CuO‐NWs) from bulky wastewater bodies has been investigated. To better understand the exact pathway of the adsorption process, a prominent statistical physics formalism or grand canonical ...
Abdellatif Sakly, Nizar Lefi, Mohamed Bouzid, Salah Knani, Md. Mahmudur Rahman, Besma Graba, Sivarama Krishna Lakkaboyana, Abdelmottaleb Ben Lamine   +7 more
wiley   +1 more source

Polylimonene Improves the In Vivo Wound Healing Performance of Sodium Alginate‐Based Hydrogels

Journal of Applied Polymer Science, EarlyView.
An oligomer derived from orange peel essential oil incorporated into an alginate hydrogel was shown to be biocompatible and to exhibit a high capacity for in vivo incisional wound healing, as confirmed by experimental assays and mathematical models fitted to the data describing wound area reduction as a function of the dressing‐tissue contact time ...
Roniérik Pioli Vieira, Guilherme Frey Schutz, Oana‐Maria Chirliu, Aurelian‐Sorin Pasca, Lenuta Profire, Sandra Van Vlierberghe   +5 more
wiley   +1 more source

Tailored Dual Responsive Hybrid Gelatin Methacryloyl/Poly[2‐(Dimethylamino)Ethyl Methacrylate] Hydrogels for Efficient Ibuprofen Release in Topical Applications

Journal of Applied Polymer Science, EarlyView.
GelMA/DMAEMA hybrid hydrogels for release of ibuprofen. ABSTRACT In this study, biocompatible hydrogels intended for topical delivery of ibuprofen were synthesized from gelatin methacryloyl (GelMA) and 2‐(dimethylamino)ethyl methacrylate (DMAEMA) by varying their proportions. The impact of different GelMA and DMAEMA ratios was comprehensively evaluated
Guilherme Frey Schutz, Ana Luiza Assis Coutinho, Carolina Coli Zuliani, Ibsen Bellini Coimbra, Jéssica Heline Lopes da Fonseca, Marcos Akira d'Ávila, Ângela Maria Moraes, Roniérik Pioli Vieira   +7 more
wiley   +1 more source