Results 141 to 150 of about 2,659,274 (336)
Parametric Design of Continuum Robots Using Interlocking Ball Joints
Advanced Intelligent Systems, EarlyView.Herein, a parametric design methodology is introduced for producing a wide variety of modular ball joint‐based continuum robots. It is demonstrate by designing a magnetically actuated continuum robot for cardiac ablations. The methodology is released as an open‐source computer‐assisted design extension that automatically designs continuum robots based ...
Alexandre Mesot +5 more
wiley +1 more source
Kolmogorov–Arnold Network for Transistor Compact Modeling
Advanced Intelligent Systems, EarlyView.This work introduces Kolmogorov–Arnold network (KAN) for the transistor—an architecture that integrates interpretability with high precision in physics‐based function modeling. The results reveal that despite achieving superior prediction accuracy for critical figures of merit, KAN demonstrates unique inherent challenges for transistor modeling ...
Rodion Novkin, Hussam Amrouch
wiley +1 more source
Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology
Advanced Intelligent Systems, EarlyView.Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song +6 more
wiley +1 more source
A Note on Parallelizing the Parameterized Expectations Algorithm [PDF]
The parameterized expectations algorithm (PEA) involves a long simulationand a nonlinear least squares (NLS) fit, both embedded in a loop. Both steps are natural candidates for parallelization.This note shows that parallelization can lead to important ...
Michael Creel
core
Advanced Intelligent Systems, EarlyView.This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck +4 more
wiley +1 more source
Elastic Fast Marching Learning from Demonstration
Advanced Intelligent Systems, EarlyView.This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Jixie chuandong, 2009 A specialized CAD/CAM system of bevel gear for car differential mechanism is developed by using the secondary development tools of UG/Open API,UG/Open UIStyler and UG/Open MenuScript,and integrated development environment Visual C++ 6.0.The system ...
陈钢, 王新云, 金俊松, 夏巨谌
doaj
Imposing Star-Shaped Hard Constraints on the Neural Network Output
MathematicsA problem of imposing hard constraints on the neural network output can be met in many applications. We propose a new method for solving this problem for non-convex constraints that are star-shaped.
Andrei Konstantinov +2 more
doaj +1 more source
KPP code for MITgcm v62r with added parameterization for Langmuir Circulation
, 2020 Cristina Schultz
openalex +2 more sources
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
, 2017 We propose a novel method to directly learn a stochastic transition operator whose repeated application provides generated samples. Traditional undirected graphical models approach this problem indirectly by learning a Markov chain model whose stationary
Bengio, Yoshua +3 more
core