Results 201 to 210 of about 1,169,808 (377)

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek, Sabyrzhan Oralkhan, Adeliya Anash, Nuriya Nurbergenova, Azat Balapan, Azamat Yeshmukhametov, Yeltay Rakhmanov, Gulnur Kalimuldina   +7 more
wiley   +1 more source

Pronunciation error detection for computer-assisted language learning system based on error rule clustering using a decision tree

, 2007
Akinori Ito, Yen-Ling Lim, Motoyuki Suzuki, Shozo Makino   +3 more
openalex   +2 more sources

Bioengineered Models of Nerve Regeneration

Advanced Materials Technologies, EarlyView.
Bioengineered nerve regeneration platforms ranging from patterned cell cultures and hydrogels to fibrous scaffolds and microfluidic systems are reviewed, highlighting the complex cellular and biochemical environments essential for nerve repair. Challenges associated with these platforms, such as balancing complexity with throughput and the need for ...
Madalynn Jade Thompson, John Paul Frampton   +1 more
wiley   +1 more source

A SYSTEM OF LEARNING LINKS BETWEEN UTTERANCES WITH META-INFORMATION IN CHARACTER BASED MULTI-PARTY CONVERSATION BY DECISION TREE

, 2007
Junpei Nakamura, Yasuhiro Tajima, Yoshiyuki Kotani   +2 more
openalex   +1 more source

Learning a fuzzy decision tree from uncertain data [PDF]

, 2017
Hang Yu, Jie Lü, Guangquan Zhang
openalex   +1 more source

Enhancing Damage Tolerance of Structures Using 3D/4D Printing Technologies

Advanced Materials Technologies, EarlyView.
This review highlights recent advances in damage tolerance for structural design, emphasizing safety, durability, and reliability in fields like aerospace and civil engineering. It covers innovations in materials, 3D/4D printing, predictive design methods, and nature‐inspired strategies.
Morteza Sayah Irani, Sadegh Ranjbar, Mohammad Lakhi, Ali Zolfagharian   +3 more
wiley   +1 more source

PCP46 - A SIMPLE DECISION TREE TO IDENTIFY POTENTIAL APPLICATIONS OF MACHINE LEARNING AS AN ADDITION TO TRADITIONAL STATISTICAL ANALYSIS IN HEALTH ECONOMICS AND OUTCOMES RESEARCH [PDF]

, 2018
Andrew Cox, Mustafa Oğuz
openalex   +1 more source

Extraction of Missing Tendency Using Decision Tree Learning in Business Process Event Log [PDF]

, 2020
Hiroki Horita, Yuta Kurihashi, Nozomi Miyamori   +2 more
openalex   +1 more source

Electrolyte‐Jet 3D Printing of Copper‐Based Strain Sensors for Physiological Signal Monitoring and Robotic Manipulation

Advanced Materials Technologies, EarlyView.
Electrolyte‐jet (EJ) 3D printing turns copper ions into precisely arranged copper microspheres, which combine with flexible polymers and carbon nanomaterials to create durable, high‐sensitivity sensors. These sensors accurately monitor human motion and physiological signals. Real‐time robotic hand control via gesture mirroring demonstrates an intuitive
Wending Gu, David Payne, Binesh Puthen Veettil   +2 more
wiley   +1 more source

Learning the Attribute Selection Measures for Decision Tree

, 2011
Xiaolin Chen, Jia Wu, Zhihua Cai
openalex   +1 more source