Results 61 to 70 of about 5,444 (194)
The graphical abstract illustrates a flower classification model relying on the human visual system. The model captures images, simulates visual attention and photometric perception, extracts features of shape and color, and classifies flowers by using an optimized neural network that enhances recognition accuracy by mimicking the human eye's focusing ...
Arpan Singh +2 more
wiley +1 more source
The study uses affine transformation, contrast enhancement, and mosaic masking for image enhancement and introduces the Convolutional NeXt module in YOLOv8 based on masked self‐encoder and response normalization, along with improvements to the convolutional block attention module.
Yu Lei, Zhihao Liang, Jiayun Huang
wiley +1 more source
Rice Leaf Disease Image Enhancement Based on Improved CycleGAN
ObjectiveRice diseases significantly impact both the yield and quality of rice production. Automatic recognition of rice diseases using computer vision is crucial for ensuring high yields, quality, and efficiency.
YAN Congkuan +6 more
doaj +1 more source
Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters
Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu +4 more
wiley +1 more source
Fault Diagnosis of a Ship’s Permanent Magnet Propulsion Motor Based on CBAM and Multi-Input CNN
The fault diagnosis of marine propulsion motors has been an important focus of attention in the marine industry. Various types and numbers of sensors have been used to monitor and diagnose faults in permanent magnet propulsion motors, and the ...
Yan Guohua +6 more
doaj +1 more source
Crop Pest Target Detection Algorithm in Complex Scenes:YOLOv8-Extend
ObjectiveIt is of great significance to improve the efficiency and accuracy of crop pest detection in complex natural environments, and to change the current reliance on expert manual identification in the agricultural production process.
ZHANG Ronghua, BAI Xue, FAN Jiangchuan
doaj +1 more source
Does the Risk of Carbon Leakage Justify the CBAM?
The Paris Agreement calls on developed countries to take the lead in global efforts to stop climate change. The drawback with differentiated commitments is carbon leakage, that is, that emission- intensive industries migrate to countries with lower carbon prices. This risk has prompted the EU to introduce a Carbon Border Adjustment Mechanism as part of
openaire +2 more sources
Forecasting Carbon Prices: A Literature Review
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
This graphical abstract illustrates seven strategic pillars to advance a low‐carbon economy in ASEAN: Carbon Pricing & CBAM, Renewable Energy Auctions, Sustainable Finance Mobilization, Regional Carbon Trading Systems, Green Finance Standards, Private Sector Participation, and Digital‐Driven Monitoring & Trading. These elements aim to unlock investment,
Ohn Zin Lin +4 more
wiley +1 more source
THE IMPACT OF THE CARBON BORDER ADJUSTMENT MECHANISM (CBAM) ON EXPORT ACTIVITIES INTO THE EU MARKET
This study clarifies the impact of the carbon border adjustment mechanism (CBAM) on the export activities of enterprises that produce six main affected industrial products: iron and steel, cement, fertilizer, aluminium, electricity, and hydrogen ...
Nguyen Thi Lan Anh, Pham Quang Vu, Do Hong Quan, Tran Thanh Tuong +2 more
doaj +1 more source

