Results 31 to 40 of about 5,444 (194)

Grape Recognition and Localization Method Based on 3C-YOLOv8n and Depth Camera

open access: yes智慧农业
[Objective]Grape picking is a key link in increasing production. However, in this process, a large amount of manpower and material resources are required, which makes the picking process complex and slow.
LIU Chang   +4 more
doaj   +1 more source

Antioxidant and Cytotoxic Properties of Piper spp. Volatile Oils That Inhibit Pathogenic Microorganisms

open access: yesFlavour and Fragrance Journal, EarlyView.
The samples were fungicidal against Candida, with MICs ranging from 62.5 to 250 μg/mL, and fungistatic against Penicillium adametzii, Aspergillus flavus and A. niger, with MICs of 1000 μg/mL. The volatile oils of Piper aduncum and Piper marginatum reduced the viability of MDA‐MB231 cells.
Midiã R. Oliveira   +11 more
wiley   +1 more source

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen   +7 more
wiley   +1 more source

Financial Impacts of the Carbon Border Adjustment Mechanism on Selected Trade Partners: Cross-National and Cross-Sectoral Analysis [PDF]

open access: yesInterdisciplinary Description of Complex Systems
The Carbon Border Adjustment Mechanism (CBAM) is an import fee levied by a region, i.e., the European Union (EU), that taxes carbon on goods produced in countries that do not tax carbon.
Emira Kozarević   +2 more
doaj   +1 more source

An Effective Surface Defect Classification Method Based on RepVGG with CBAM Attention Mechanism (RepVGG-CBAM) for Aluminum Profiles

open access: yesMetals, 2022
The automatic classification of aluminum profile surface defects is of great significance in improving the surface quality of aluminum profiles in practical production. This classification is influenced by the small and unbalanced number of samples and lack of uniformity in the size and spatial distribution of aluminum profile surface defects.
Zhiyang Li   +5 more
openaire   +2 more sources

Can Happiness Be Sustainable? Monitoring Global Consumption Footprints From 2015 to 2024

open access: yesSustainable Development, EarlyView.
ABSTRACT Understanding how happiness relates to resource consumption requires considering not only domestic environmental impacts but also the broader transnational effects embedded in global trade. To address this gap, this study introduces the Consumption Footprint–Happiness Ratio (CHR), a visual analytic metric that captures the intensity of ...
Chong‐Wen Chen
wiley   +1 more source

Who Benefits From Green Tech? How Eco‐Innovation and Process Eco‐Innovation Shape Emissions Inequality Across G7 Economies

open access: yesSustainable Development, EarlyView.
ABSTRACT This study examines the asymmetric effects of eco‐innovation on income‐based carbon emissions inequality within G7 economies over the period 1990–2023. Theoretically grounded in innovation diffusion theory and political economy frameworks, we argue that green technological advancements exert non‐linear, directional effects on emissions ...
Brahim Bergougui   +5 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

Pavement crack detection method based on improved YOLOv5

open access: yesDianzi Jishu Yingyong
Aiming at the problem that the existing crack detection model is large in size and the detection accuracy is not high, this paper proposes a crack detection method for UAV aerial images based on lightweight network.
Wang Xiangqian   +3 more
doaj   +1 more source

PH-CBAM: A Parallel Hybrid CBAM Network with Multi-Feature Extraction for Facial Expression Recognition

open access: yesElectronics
Convolutional neural networks have made significant progress in human Facial Expression Recognition (FER). However, they still face challenges in effectively focusing on and extracting facial features. Recent research has turned to attention mechanisms to address this issue, focusing primarily on local feature details rather than overall facial ...
Liefa Liao   +3 more
openaire   +1 more source

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