Results 61 to 70 of about 6,344,658 (293)
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
, 2005 Many generic position-estimation algorithms are vulnerable to ambiguity introduced by nonunique landmarks. Also, the available high-dimensional image data is not fully used when these techniques are extended to vision-based localization.
Yuen, D.C.K., MacDonald, B.A.
core +1 more source
Automated landmark-based cat facial analysis and its applications
Frontiers in Veterinary ScienceFacial landmarks, widely studied in human affective computing, are beginning to gain interest in the animal domain. Specifically, landmark-based geometric morphometric methods have been used to objectively assess facial expressions in cats, focusing on ...
George Martvel +9 more
doaj +1 more source
Cloth manipulation based on category classification and landmark detection
International Journal of Advanced Robotic Systems, 2022 Cloth manipulation remains a challenging problem for the robotic community. Recently, there has been an increased interest in applying deep learning techniques to problems in the fashion industry. As a result, large annotated data sets for cloth category
Oscar Gustavsson +5 more
doaj +1 more source
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
Advanced Science, EarlyView.FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
Higher Education: Increased and Equitable Access to Quality Learning Opportunities
, 2019 Given that many developing countries seek to increase participation in Higher Education (HE), COL will work with Ministries of Education and HE Institutions to support capacity building including the development and implementation of Open and Distance ...
Commonwealth of Learning
core +1 more source
How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?
Education SciencesCognitive load theory (CLT) has driven numerous empirical studies for over 30 years and is a major theme in many of the most cited articles published between 1988 and 2023.
Amedee Marchand Martella +2 more
doaj +1 more source
Data-driven approach to learning salience models of indoor landmarks by using genetic programming
International Journal of Digital Earth, 2020 In landmark-based way-finding, determining the most salient landmark from several candidates at decision points is challenging. To overcome this problem, current approaches usually rely on a linear model to measure the salience of landmarks.
Xuke Hu +6 more
doaj +1 more source
Deep Geodesic Learning for Segmentation and Anatomical Landmarking [PDF]
IEEE Transactions on Medical Imaging, 2019 In this paper, we propose a novel deep learning framework for anatomy segmentation and automatic landmark- ing. Specifically, we focus on the challenging problem of mandible segmentation from cone-beam computed tomography (CBCT) scans and identification of 9 anatomical landmarks of the mandible on the geodesic space.
Neslisah Torosdagli +5 more
openaire +5 more sources
Machine Learning-based Real-Time Indoor Landmark Localization [PDF]
, 2018 Part 2: Learning-Based NetworkingInternational audienceNowadays, smartphones can collect huge amounts of data from their surroundings with the help of highly accurate sensors.
Jose Carrera +8 more
core +1 more source