Results 101 to 110 of about 20,695 (309)
Robust covariance estimation for data fusion from multiple sensors [PDF]
, 2011 This paper addresses the robust estimation of a covariance matrix to express uncertainty when fusing information from multiple sensors. This is a problem of interest in multiple domains and applications, namely, in robotics.
Lazarus, Samuel B. +5 more
core +1 more source
ChemSusChem, Volume 18, Issue 6, March 15, 2025.The transformation of CO2 into chemical building blocks is essential for a net‐zero energy future. Plasma‐chemical processing offers promising potential to achieve this. Here, we explore a temperature‐dependent plasma‐chemical reaction mechanism, revealing a shift from electron‐driven to thermal‐driven CO2 conversion regimes.
Aswath Mohanan +2 more
wiley +1 more source
Human Resource Management, EarlyView.ABSTRACT Organizational scholars have begun to recognize the importance of social cohesion, but we know little about how it can lead to broader social impact, and even less about the role of human resource management (HRM) in these processes. To investigate this link, we examined corporate community co‐development as a particularly impactful HRM ...
Cristina B. Gibson +3 more
wiley +1 more source
Journal of Mechatronics, Electrical Power, and Vehicular TechnologySimultaneous localization and mapping (SLAM) has become a foundational concept in robotics navigation which enabling autonomous systems to build maps of unknown environments while estimating their own position.
Muhammad Haniff Gusrial +3 more
doaj +1 more source
Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review
Journal of Medical Radiation Sciences, EarlyView.Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad +5 more
wiley +1 more source
Three main paradigms of simultaneous localization and mapping (SLAM) problem
Tenth International Conference on Machine Vision (ICMV 2017), 2018 Simultaneous Localization and Mapping (SLAM) is one of the most challenging research areas within computer and machine vision for automated scene commentary and explanation. The SLAM technique has been a developing research area in the robotics context during recent years.
Vandad Imani +2 more
openaire +3 more sources
Targeting online sales through last‐mile delivery platform integration
Journal of Operations Management, Volume 71, Issue 2, Page 195-219, March 2025.Abstract We analyze channel integration between a last‐mile delivery platform and a general merchandise retailer in two distinct stages: (1) platform delivery access (PDA), where the retailer continues to offer standard delivery through its own website but directs customers to the platform's website for new same‐day delivery; and (2) integrated ...
Kevin H. Park +2 more
wiley +1 more source
Advances in Electrical and Electronic Engineering, 2019 This study is related to SLAM, also known simultaneous localization and mapping which is highly important and an indispensable issue for autonomous mobile robots.
Akif Durdu, Mehmet Korkmaz
doaj +1 more source
The Bazaar as a Model for Knowledge Work
Knowledge and Process Management, EarlyView.ABSTRACT This paper presents fieldwork that extends existing metaphors of knowledge work as a process shaped by hierarchical or market forces. A qualitative, ethnographic study of six knowledge‐intensive businesses in two countries identifies striking parallels with the Middle Eastern bazaar in contrast to Western impersonal markets and hierarchies. We
Reed Elliot Nelson +2 more
wiley +1 more source
Semantic visual simultaneous localization and mapping (SLAM) using deep learning for dynamic scenes. [PDF]
PeerJ Comput Sci, 2023 Zhang XY, Abd Rahman AH, Qamar F.
europepmc +1 more source