Results 241 to 250 of about 1,463,638 (305)

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios   +4 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Toward More Autonomous Soft Robots: Development and Characterization of a 3D‐Printed Pneumatic Contact Sensor for a Six‐Legged Soft Robotic Walker

open access: yesAdvanced Intelligent Systems, EarlyView.
This article introduces a fully 3D‐printed, electronics‐free sensory system for a six‐legged soft robot, enabling adaptive responses such as obstacle detection and directional changes using pneumatic logic gates. The design demonstrates efficient, robust operation through rapid sensor feedback and autonomous functionality, highlighting new ...
Philipp Auth   +6 more
wiley   +1 more source

Development of a lexical dataset and a rule-based algorithm for the analysis of Khorezm dialects of the Uzbek language. [PDF]

open access: yesData Brief
Abdurakhmonova N   +5 more
europepmc   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

open access: yesAdvanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He   +3 more
wiley   +1 more source

Further Detail Concerning the Deep Learning Model for Mortality After Total Gastrectomy

open access: yes
Annals of Gastroenterological Surgery, EarlyView.
Kentaro Goto   +4 more
wiley   +1 more source

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