Results 101 to 110 of about 9,658 (219)

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang   +5 more
wiley   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné   +8 more
wiley   +1 more source

Synthetic Imagery Improves Ecological Classification When Real Data Are Scarce, Not Direct Substitutes

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Image generation models can create synthetic ecological datasets and potentially alleviate limitations from sparse real data. Using 20 tree genera across community‐science and street‐view imagery, we tested whether synthetic images could replace or supplement real data for image classification.
Thomas A. Lake   +3 more
wiley   +1 more source

Simulation of Crowd Problems for Computer Vision [PDF]

open access: yes, 2005
This work presents an approach for generating video evidence of dangerous situations in crowded scenes. The scenarios of interest are those with high safety risk such as blocked exit, collapse of a person in the crowd, and escape panic.
Fisher, Bob, Andrade, Ernesto
core  

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

open access: yesSustainable Development, EarlyView.
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley   +1 more source

A Generic Approach to Creating a National Soil Security Strategy

open access: yesSustainable Development, EarlyView.
ABSTRACT Soil is a living and non‐renewable resource that underpins our very existence. It produces our food, filters our water, stores vast amounts of carbon, cycles essential nutrients, and sustains the rich tapestry of biodiversity on which our planet depends.
Alex McBratney   +21 more
wiley   +1 more source

THE APPLICATION OF HUMAN VISUAL ATTENTION IN MACHINE VISION [PDF]

open access: yes
Machine vision is still a challenging topic and attracts many researchers to research in this field. The main difference between machine vision and human vision is that, machine can see images as a set of pixels, while human can used cognitive ...
Al-Azawi, Mohammad
core  

Integrating multimodal data and machine learning for entrepreneurship research

open access: yesStrategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

World Models for Robotic Manipulation: A Survey

open access: yesSmartBot, EarlyView.
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang   +17 more
wiley   +1 more source

A Review on the Development and Key Technologies of Embodied Intelligent Industrial Robots in Smart Manufacturing

open access: yesSmartBot, EarlyView.
Conventional industrial robots rely on predefined workflows and struggle to adapt to changing tasks and uncertain manufacturing environments. This review examines the development and key technologies of embodied intelligent industrial robots (EIIRs), highlighting a closed‐loop architecture that integrates human and industrial inputs, embodied ...
Jie Wang   +7 more
wiley   +1 more source

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