Results 231 to 240 of about 997,952 (298)

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Adjusted effect size, area under the curve, and c-statistic for evaluating the association between uric acid and mortality in US adults using unweighted and survey-weighted regression, propensity, and prognostic score. [PDF]

PeerJ
Ahmed S, Dwivedi AK.
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

New Technologies for IBD Endoscopy. [PDF]

J Clin Med
Bezzio C, Farinola V, Privitera G, Dal Buono A, Gabbiadini R, Loy L, Franchellucci G, Bartolotta E, Migliorisi G, Armuzzi A.   +9 more
europepmc   +1 more source

A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang, Kelvin HoLam Heung, Gabrielle J. Naquila, Ashwin Hingwe, Ashish D. Deshpande   +4 more
wiley   +1 more source

Advanced intensity-modulated fiber sensors for scalable sensing. [PDF]

iScience
Malinka F, Vachek O, Krizan D, Stipal J, Marques C, Siska P, Nedoma J.   +6 more
europepmc   +1 more source

Proactive Robotic Grasp Stability via Tactile Safety Margin Feedback

Advanced Intelligent Systems, EarlyView.
We introduce the tactile safety margin (TSM), defined as the ratio between applied friction force (Ffric) and maximum friction (Fmax) derived from grip force. A bilayer E‐skin with decoupled temperature, strain, and pressure sensing enables real‐time grasp stability monitoring through measured TSM values, allowing robots to proactively adjust grip ...
Yebin Park, Jaehyun Kim, Taeyeong Kim, Woosung Cho, Junchen Luo, Myeongryun Seong, Chaeyong Park, Anna Lee, Seungmoon Choi, Insang You, Unyong Jeong   +10 more
wiley   +1 more source

From raw clinical data to robust prediction: an AI framework for early lymphedema detection. [PDF]

BMC Med Res Methodol
Sadek I, Rehman SU, Gehad A, Eltasawi EG, AbdelKader A, Abdelnasser R, Nashaat D, Zaki RM, Mahmoud LN.   +8 more
europepmc   +1 more source

Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion

Advanced Intelligent Systems, EarlyView.
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari, Yeji Lee, Pranathi Adluri, Daniil Karnaushenko, Dmitriy D. Karnaushenko, John S. McCaskill, Oliver G. Schmidt   +6 more
wiley   +1 more source

Sens

, 2018
openaire   +3 more sources