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Traditional electromechanical cleaning equipment remains overly dependent on human assistance when performing cleaning tasks in unstructured marine environments. With the rapid development of robotic technologies, underw...

To address the issue of autonomous bow-in berthing for inland vessels under environmental influence, a phased manifold-based rapidly-exploring random tree star (PMRRT*) approach is proposed for the trajectory and posture...

Background and Purpose: Deep learning segmentation (DLS) and planning (DLP) models in radiotherapy treatment planning increase consistency and reduce planning time. However, many DL segmentations and plans are manually a...

In response to the limitations of traditional planning methods for Autonomous Surface Vehicles (ASVs), which heavily rely on predefined map representations and neglect kinematic feasibility, this paper proposes a novel k...

Urban microclimate are localized climatic conditions within urban areas that are shaped by the buildings, population density, land cover, and vegetation, and that differ significantly from surrounding rural contexts. The...

The rapid growth of e-commerce provides unprecedented convenience but also generates environmental costs, including carbon emissions, plastic packaging, and reverse logistics waste. Understanding green consumer behavior ...

In response to the global environmental crisis, reducing the impact of production and consumption is essential. Within the clothing system, research and policy have focused primarily on sustainable production and end-of-...

Rural communities are increasingly challenged by climate change, declining agricultural productivity, and economic vulnerabilities, highlighting the urgent need for livelihood diversification. This study aims to identify...

The fashion industry faces urgent challenges related to overconsumption, material waste, and consumer detachment from garment lifecycles. While circular economy (CE) principles offer a promising alternative, strategies t...

Agriculture in Iran operates under acute water scarcity, climate stress, and reliance on input-intensive practices that amplify environmental pressures. This study presents the first long-term, spatially explicit life cy...