Results 281 to 290 of about 2,884,026 (336)

A Physics‐Informed Neural Network as a Digital Twin of Optically Turbid Media

open access: yesAdvanced Intelligent Systems, EarlyView.
In this work, a physics‐informed neural network is presented as a digital twin for modeling and studying optically turbid media without requiring reference light. The model learns and integrates complex wavefront modulation behavior, ensuring robustness without explicit calibration.
Mohammadrahim Kazemzadeh   +4 more
wiley   +1 more source

Multi‐Diseases Detection with Memristive System on Chip

open access: yesAdvanced Intelligent Systems, EarlyView.
A robust disease detection system, which is capable of the early prevention of acute myocardial infarction and the detection of liver cancer, is implemented on a memristive system‐on‐chip (SoC). A fully integrated SoC is utilized to ensure the system's portability, low latency, high accuracy, and energy efficiency for medical analysis.
Zihan Wang   +7 more
wiley   +1 more source

Electromagnetically Adhering and Self‐Inductive Sensing Claw for Continuum Climbing Robots: Design, Control, and Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
To argue the applicability of continuum wall‐climbing robots in the nuclear industry, an electromagnetic adhering and self‐inductive sensing integrated claw is developed. The flexible claw realizes an integrated design of the physical structure and excitation circuit. An automatic contact strategy based on fuzzy controller is established, which enables
Pengpeng Yang   +3 more
wiley   +1 more source

Magnetic Fluid‐Driven Vine Robots for Minimally Invasive Tissue Biopsy Sampling

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a magnetic fluid‐powered vine robot for minimally invasive biopsies. The robot uses fluid pressurization for locomotion and external magnetic fields for precise steering. Its soft structure and high magnetic volume ensure controlled movements and stabilization, enabling effective tissue penetration.
Joshua Davy   +6 more
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

open access: yesAdvanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel   +7 more
wiley   +1 more source

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