Results 221 to 230 of about 1,964,601 (320)
We developed LeoNet, a lightweight deep learning model for leopard individual identification. It achieved 97.42% accuracy and was robust to age‐related pattern changes and unfamiliar individuals. Applied to camera‐trap data from the Taihang Mountains, LeoNet identified 41 wild North China leopards and generated individual‐level records to support ...
Jing He +13 more
wiley +1 more source
Digital twin-driven fault diagnosis of power substations by multi-modal fusion learning. [PDF]
Wu Y, Chen Y, Xiao T, Ding L.
europepmc +1 more source
ABSTRACT The transition from doctoral student to tenure‐track assistant professor marks a critical juncture in an academic career. This conceptual commentary offers experience‐based insights for early‐career accounting faculty, addressing the distinct pressures of a discipline shaped by professional certification requirements, diverse institutional ...
Seda Oz, Steve Fortin, Christopher Wong
wiley +1 more source
A Review of Artificial Intelligence Techniques in Fault Diagnosis of Electric Machines. [PDF]
Zachariades C, Xavier V.
europepmc +1 more source
Abstract Tropical forest canopies host diverse tree and liana assemblages, yet key foliar and reproductive traits needed for taxonomic identification of canopy plants are often difficult to see from the forest floor, creating a bottleneck in inventories.
Etienne Laliberté +26 more
wiley +1 more source
Integrated ore classification using stand-alone and hybridised machine learning algorithms. [PDF]
Gholami Vijouyeh A +4 more
europepmc +1 more source
UNIQAT: An open‐source toolkit for reproducible image quality assessment in marine surveys
Abstract Modern marine surveys generate tens of thousands of underwater images per expedition, yet many are unusable due to image quality deterioration. Manual quality screening is labour‐intensive, subjective and inconsistent across observers and teams, hindering reproducible science, creating large backlogs of unprocessed imagery, and limiting real ...
Alzayat Saleh, Arjun Chennu
wiley +1 more source
A hybrid VMD-CNN-autoencoder approach for speed-invariant fault detection of parallel and angular misalignment in rotating machinery. [PDF]
Chandran N, Sathish Kumar K.
europepmc +1 more source
ABSTRACT Since the mid‐2010s, Thai public discourse has villainised upland maize cultivation in northern Thailand for deforestation and environmental degradation through the popular imagery of bald mountains. The attention has prompted a new wave of land‐use interventions urging upland smallholders to replace maize with trees and perennials.
Pin Pravalprukskul +2 more
wiley +1 more source

