Results 191 to 200 of about 70,487 (294)

Modeling Students’ Dropout in Mexican Universities

open access: yesResearch in Computing Science, 2017
Noel Enrique Rodríguez-Maya   +3 more
openaire   +1 more source

Autonomous Robotic Colonoscopy: A Supervised Learning Approach for Enhanced Navigation and Collision Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang   +3 more
wiley   +1 more source

Injuries among students combining academic studies and elite sports. [PDF]

open access: yesFront Sports Act Living
Flatholm E, Tengman E, Tervo T.
europepmc   +1 more source

Optisense: Computational Optimization for Strain Sensor Placement in Wearable Motion Tracking Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim   +4 more
wiley   +1 more source

Iterative Data Curation for Machine Learning‐Based Inverse Design of Active Composite Plates for Four‐Dimensional Printing

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning framework is developed for the inverse design of 4D‐printed active composite plates. It utilizes a forward model to predict shapes from patterns and an inverse model to suggest initial patterns for desired shapes. This framework integrates a genetic algorithm to refine the predicted patterns, ensuring higher accuracy in achieving ...
Teerapong Poltue   +4 more
wiley   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

open access: yesAdvanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi   +6 more
wiley   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera   +2 more
wiley   +1 more source

A community‐driven approach to address substance use and create a Great Plains American Indian addiction and recovery research agenda

open access: yesAmerican Journal of Community Psychology, EarlyView.
Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger   +8 more
wiley   +1 more source

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