Results 71 to 80 of about 5,444 (194)

CBAM-SwinT-BL: Small Rail Surface Defect Detection Method Based on Swin Transformer With Block Level CBAM Enhancement

open access: yesIEEE Access
Under high-intensity rail operations, rail tracks endure considerable stresses resulting in various defects such as corrugation and spellings. Failure to effectively detect defects and provide maintenance in time would compromise service reliability and public safety.
Jiayi Zhao   +4 more
openaire   +3 more sources

Using Linked Emissions Trading Systems to Transform Difficult‐to‐Abate Industries

open access: yesWIREs Energy and Environment, Volume 15, Issue 1, March 2026.
ABSTRACT Emissions trading systems (ETSs) have expanded over the past 20 years to cover over 23% of global GHG emissions. This growth reflects their demonstrated ability to reduce emissions by diverse sources at low cost with no adverse economic impacts.
Erik Haites
wiley   +1 more source

Food Image Classification Based on CBAM-Inception V3 Transfer Learning

open access: yesLiang you shipin ke-ji
To improve the accuracy of automatic recognition and classification of food images, a classification model CBAM- InceptionV3 is proposed, which embeds the Convolutional Block Attention Module.
DU Hui-jiang   +3 more
doaj   +1 more source

Pill Counting Method for Strip Plate Slots Based on YOLOv12

open access: yesJournal of Applied Science and Engineering
In the modern pharmaceutical industry, automated pill counting is a critical step in the production process. However, traditional methods often fail to meet the demands of high-speed and real-time detection in terms of accuracy and efficiency. This paper,
Qingwu Shi   +3 more
doaj   +1 more source

Architecture Evaluation Utilizing CBAM and AHP [PDF]

open access: yesThe KIPS Transactions:PartD, 2006
Ji-Hyun Lee   +3 more
openaire   +3 more sources

An Integrated YOLOv8 and Morphological Features-Based System for Multi-Defect Detection in Potato Grading

open access: yesLiang you shipin ke-ji
To address the need for automated detection of multiple defect types in post-harvest potato sorting, an integrated YOLOv8 and morphological features-based system for multi-defect detection in potato grading. The hardware system employs a combination of a
GE Gen-bo   +4 more
doaj   +1 more source

Convolutional Block Attention Module–Multimodal Feature-Fusion Action Recognition: Enabling Miner Unsafe Action Recognition

open access: yesSensors
The unsafe action of miners is one of the main causes of mine accidents. Research on underground miner unsafe action recognition based on computer vision enables relatively accurate real-time recognition of unsafe action among underground miners.
Yu Wang   +3 more
doaj   +1 more source

Could the EU carbon border adjustment mechanism promote climate mitigation? An economy-wide analysis

open access: yesAdvances in Climate Change Research
Due to concerns about carbon leakage and sectoral competitiveness, the European Union (EU) proposed implementing the carbon border adjustment mechanism (CBAM).
Kun Zhang   +5 more
doaj   +1 more source

The role of carbon border adjustment in steel decarbonization

open access: yesEnvironmental Research Letters
Emission-intensive and trade-exposed sectors, such as steel, are especially challenged by emissions leakage and loss of competitiveness with the implementation of climate policies.
Russell Horowitz   +2 more
doaj   +1 more source

Gearbox Fault Diagnosis Based on MSCNN-LSTM-CBAM-SE

open access: yesSensors
Ensuring the safety of mechanical equipment, gearbox fault diagnosis is crucial for the stable operation of the whole system. However, existing diagnostic methods still have limitations, such as the analysis of single-scale features and insufficient recognition of global temporal dependencies. To address these issues, this article proposes a new method
Chao He   +4 more
openaire   +3 more sources

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