Results 151 to 160 of about 5,802,809 (341)
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong+5 more
wiley +1 more source
Robot‐Assisted Measurement of the Critical Micelle Concentration
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio+3 more
wiley +1 more source
This paper focuses on the asymptotic behavior of nonautonomous neural networks with delays. We establish criteria for analyzing the asymptotic behavior of nonautonomous recurrent neural networks with delays by means of constructing some new generalized ...
Dehao Ruan, Yao Lu
doaj +1 more source
Compositeness as a clue for the understanding of the asymptotic behavior of form factors [PDF]
D. Amati+4 more
openalex +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo+3 more
wiley +1 more source
A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot
This paper proposes an innovative shared control method that can handle multiple objectives task by integrating various types of controllers. It not only takes into account the priorities among the objectives but also allows for the flexible addition or removal of objective controllers.
Xilin Xiao+7 more
wiley +1 more source
Asymptotic behavior of solutions of parabolic equations of any order [PDF]
Avner Friedman
openalex +1 more source
A Wearable Soft Actuator for Directional Tactile Stimulation: Design and Testing
A wearable actuator able to produce directional tactile stimulation is obtained by embedding a planar shape memory spring in silicone matrix. The matrix is designed taking into account skin characteristics and leveraging its multifunctionality: it acts as a bias load, improves the thermal behavior of the spring and wearability.
Fabio Lazzari+6 more
wiley +1 more source
Asymptotic behavior of successive coefficients of some power series [PDF]
Adriano M. Garsia+2 more
openalex +1 more source
In this study, a deep reinforcement learning framework with multi‐line‐of‐sight guidance is proposed. An augmented‐twin delayed deep deterministic policy gradient algorithm adapts to attitude changes efficiently, reducing computational costs. Simulations show 30.8% faster training and mitigates rudder/exergy issues, validated by an X‐rudder autonomous ...
Chengren Yuan+5 more
wiley +1 more source