Results 91 to 100 of about 2,820 (246)

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity   +8 more
wiley   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin   +5 more
wiley   +1 more source

Investigating the Environmental Impact of Additive Construction: A Systematic Analysis of the Life Cycle Assessment Studies

open access: yesSustainable Development, EarlyView.
ABSTRACT Additive Manufacturing (AM) has been identified as a potential catalyst for a paradigm shift within the construction industry, due to its capacity to enhance sustainability, reduce waste, and augment design flexibility. This study presents a systematic literature review (SLR) that explores the application of Life Cycle Assessment (LCA) in ...
Antonio Mastropasqua   +3 more
wiley   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

open access: yesSmall, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun   +4 more
wiley   +1 more source

AAKD: A standardized and comprehensive acupuncture anesthesia knowledge platform for enhanced recovery after surgery and mechanism

open access: yesVIEW, EarlyView.
Acupuncture anesthesia (AA) is an application of acupuncture innovation in surgical operations, combined with anesthetic techniques, and is a model of integrated Chinese and Western medicine. We proposed the Acupuncture Anesthesia Knowledge Database (AAKD), in which all data have been meticulously curated by field experts and assessed by a multi ...
Ying Wang   +11 more
wiley   +1 more source

Leveraging Building Material as Part of the In-Plane Robotic Kinematic System for Collective Construction. [PDF]

open access: yesAdv Sci (Weinh), 2022
Leder S   +7 more
europepmc   +1 more source

Efficient Reconfiguration of Tile Arrangements by a Single Active Robot

open access: yes
We consider the problem of reconfiguring a two-dimensional connected grid arrangement of passive building blocks from a start configuration to a goal configuration, using a single active robot that can move on the tiles, remove individual tiles from a given location and physically move them to a new position by walking on the remaining configuration ...
Becker, Aaron T.   +8 more
openaire   +2 more sources

Monitoring GPS‐collared moose by ground versus drone approaches: efficiency and disturbance effects

open access: yesWildlife Biology, EarlyView.
Efficient wildlife management requires precise monitoring methods, for example to estimate population density, reproductive success, and survival. Here, we compared the efficiency of drone (equipped with a RGB camera) and ground approaches to detect and observe GPS‐collared female moose Alces alces and their calves. We also quantified how drone (n = 42)
Martin Mayer   +8 more
wiley   +1 more source

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