Results 31 to 40 of about 158,407 (258)

A Review of Service Robots Coping With Uncertain Information in Natural Language Instructions

open access: yesIEEE Access, 2018
Intelligent service robots are currently being developed to cater to demands in emerging areas of robotic applications, ranging from entertainment to health care.
M. A. Viraj J. Muthugala   +1 more
doaj   +1 more source

A cane-based low cost sensor to implement attention mechanisms in telecare robots [PDF]

open access: yes, 2019
Telepresence robots have been recently used for Comprehensive Geriatric Assessment (CGA). Since the robot can not track a person continuously, there are several strategies to decide when to check them, from cyclic checks to simple requests from users
Ballesteros, Joaquín   +3 more
core   +1 more source

Transformative Service Research and the role of service robots: a bibliometric analysis [PDF]

open access: yesGestão & Produção
Robotic Transformative Service Research (RTSR) is an interdisciplinary field expanding the principles of Transformative Service Research (TSR) by integrating service robots into contexts focused on improving well-being and reducing vulnerabilities ...
Priscila Pasti Barbosa   +3 more
doaj   +1 more source

Coordination of several robots based on temporal synchronization [PDF]

open access: yes, 2016
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/This paper proposes an approach to deal with the problem of coordinating multi-robot systems, in which each robot ...
Montaño Sarria, Andrés Felipe   +1 more
core   +2 more sources

Adoption of service robots: exploring the emerging trends through the lens of bibliometric analysis [PDF]

open access: yesInternational Hospitality Review
Purpose – The aim of this study is to examine the existing literature on service robots in order to identify prominent themes, assess the present state of service robotics research and highlight the contributions of seminal publications in the business ...
Kumar Madhan   +3 more
doaj   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

open access: yesFEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka   +11 more
wiley   +1 more source

Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals

open access: yesScientific Reports
Pediatric Sleep Apnea–Hypopnea (SAH) presents a significant health challenge, particularly in diagnostic contexts, where conventional Polysomnography (PSG) testing, although effective, can be distressing for children.
Erfan Mortazavi   +3 more
doaj   +1 more source

Noninvasive Assessment of Arterial Stiffness Using Photoplethysmography: Feature Analysis and Machine Learning-Based Estimation of Carotid-Femoral Pulse Wave Velocity

open access: yesIEEE Access
Cardiovascular diseases are the leading cause of mortality worldwide, underscoring the need for accessible, noninvasive risk assessment. Arterial stiffness, a hallmark of vascular aging, is an established independent predictor of cardiovascular events ...
Kiana Pilevar Abrisham   +3 more
doaj   +1 more source

Cell wall target fragment discovery using a low‐cost, minimal fragment library

open access: yesFEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan   +5 more
wiley   +1 more source

Non-invasive blood glucose monitoring using PPG signals with various deep learning models and implementation using TinyML

open access: yesScientific Reports
Accurate and continuous blood glucose monitoring is essential for effective diabetes management, yet traditional finger pricking methods are often inconvenient and painful.
Mahdi Zeynali   +3 more
doaj   +1 more source

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