Results 81 to 90 of about 1,488,241 (284)
ABSTRACT Understanding the relationships among land degradation, ecosystem functioning and human well‐being is essential for conserving tropical high‐mountain ecosystems. This study examined the relationships among land degradation, Cultural Ecosystem Services (CES), ecosystem disservices (EDS) and visitor perceptions at Laguna Colorados in the Sumapaz
Victor Fabian Forero Ausique +4 more
wiley +1 more source
Insulator fault feature extraction system of substation equipment based on machine vision
Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang +4 more
wiley +1 more source
Conventional to Deep Learning Methods for Hyperspectral Unmixing: A Review
Hyperspectral images often contain many mixed pixels, primarily resulting from their inherent complexity and low spatial resolution. To enhance surface classification and improve sub-pixel target detection accuracy, hyperspectral unmixing technology has ...
Jinlin Zou, Hongwei Qu, Peng Zhang
doaj +1 more source
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu +8 more
wiley +1 more source
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
wiley +1 more source
Hyperspectral anomaly detection (HAD) identifies targets by spectral differences. However, large deep learning models overfit under the small-sample conditions typical of remote sensing, where anomalies are sparse and annotations costly.
Hongwei Qu, Qing Guo, Jinlin Zou
doaj +1 more source
Coordinated motion of UGVs and a UAV [PDF]
Coordination of autonomous mobile robots has received significant attention during the last two decades. Coordinated motion of heterogenous robot groups are more appealing due to the fact that unique advantages of different robots might be combined to ...
Soner Ulun +3 more
core +1 more source
ABSTRACT Land degradation is a critical global challenge, threatening biodiversity, food security, and livelihoods. Ecological restoration has therefore become a priority, with aerial seeding emerging as a key method to address issues of scale, accessibility, and efficiency. By dispersing seeds from aircraft or drones, aerial seeding complements ground‐
James Maua +4 more
wiley +1 more source
REDDY TRAVIS, CAHILL DAMIEN
openaire +5 more sources
Assessing use of and reaction to unmanned aerial systems in gray and harbor seals during breeding and molt in the UK [PDF]
This work was supported by UK NERC National Environmental Research Council National Capability funding to SMRU, NERC grant No. GE08-001358 to PP, through UK DEFRA support to SMRU, and by development grants from MASTS and Chester Zoo.Wildlife biology ...
Pomeroy, Patrick +3 more
core +1 more source

