Results 71 to 80 of about 20,526 (240)

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al   +3 more
wiley   +1 more source

Scanning Parametric Sediment Echosounder as Tool for Underwater Archaeological Prospection

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Underwater cultural heritage 3D prospection techniques, especially for remains that are partly buried in the ground, are only very rarely available and often can only be applied with considerable technical effort. To overcome this limitation, we evaluate a methodological adaption of widely used and available single channel parametric sediment ...
Dennis Wilken   +5 more
wiley   +1 more source

Technology Transfer to Underwater Archaeology: The LAHKE Project at the Submerged Neolithic Site of La Marmotta

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT This document is a report on the field application of non‐invasive geophysical and robotic prospecting methods at the submerged Neolithic site of La Marmotta (Lake Bracciano, Italy), within the LAHKE (LAke Heritage Knowledge and Exploration) project; the study focuses on the practical validation, adaptation and transfer of existing ...
dell' Erba Ramiro   +4 more
wiley   +1 more source

Awareness of the Black Triangle Scheme among healthcare professionals and consumers in Australia: A mixed‐methods study exploring reporting intentions and suggested improvements

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims The Black Triangle Scheme, introduced in 2018 in Australia, does not appear to have increased the quantity of adverse drug event (ADE) reports. This study evaluated healthcare professionals' (HCPs') and consumers' awareness of the scheme, its influence on intentions for future ADE reporting, and suggested improvements.
Eyob Alemayehu Gebreyohannes   +7 more
wiley   +1 more source

Trends and inequalities of Human Resources for Health across 15 states/territories in Malaysia during 2010–2022

open access: yesHuman Resources for Health
Background The density and distribution of Human Resources for Health (HRH) are critical to achieving universal health coverage. We aimed to study temporal trends in HRH density and state-wise inequalities in Malaysia, 2010–2022.
Jasmin M. Ariff   +2 more
doaj   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh   +12 more
wiley   +1 more source

Evaluating the impact of an Antimicrobial Stewardship Programme on antimicrobial resistance, multidrug resistance, and cost of therapy in a private hospital in Malaysia

open access: yesDiscover Public Health
Background The global rise of multidrug-resistant (MDR) organisms driven by inappropriate antimicrobial use has intensified the need for Antimicrobial Stewardship Programmes (ASPs).
Parwin Kaur Ranjit Singh   +4 more
doaj   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen   +1 more
wiley   +1 more source

Tunable Virtual IMU Frame by Weighted Averaging of Multiple Non-Collocated IMUs

open access: yes2025 IEEE International Conference on Robotics and Automation (ICRA)
We present a new method to combine several rigidly connected but physically separated IMUs through a weighted average into a single virtual IMU (VIMU). This has the benefits of (i) reducing process noise through averaging, and (ii) allowing for tuning the location of the VIMU. The VIMU can be placed to be coincident with, for example, a camera frame or
Yizhou Gao, Timothy D. Barfoot
openaire   +4 more sources

Perceived Social Support and Opioid Relapse Among Patients Receiving Methadone Maintenance Therapy (MMT) at a Public Hospital in Malaysia - a cross-sectional study

open access: yesInternational Journal of Medical Students
Background: Opioid use disorder (OUD) is a chronic, relapsing condition that poses a growing public health challenge globally and in Malaysia, with significant medical, social, and economic consequences.
Nur Alia Yasmin Zakaria   +5 more
doaj  

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