A5049043187- Topic Modeling
- Natural Language Processing Techniques
- Hydrology and Watershed Management Studies
- Robotic Path Planning Algorithms
- Plant Water Relations and Carbon Dynamics
- Geophysics and Gravity Measurements
- Remote Sensing in Agriculture
- Data Quality and Management
- Soil erosion and sediment transport
- Ecology and Vegetation Dynamics Studies
- Robotics and Sensor-Based Localization
- Advanced Text Analysis Techniques
- Advancements in Semiconductor Devices and Circuit Design
- Adaptive Control of Nonlinear Systems
- Advanced Image and Video Retrieval Techniques
- Web Data Mining and Analysis
- Multimodal Machine Learning Applications
- Semiconductor materials and devices
- Aeolian processes and effects
- Robotic Mechanisms and Dynamics
- Indoor and Outdoor Localization Technologies
- Urban Heat Island Mitigation
- Wildlife-Road Interactions and Conservation
- Hydrological Forecasting Using AI
- Irrigation Practices and Water Management
Xinjiang Institute of Ecology and Geography
2022-2025
Chinese Academy of Sciences
2014-2025
Commercial Aircraft Corporation of China (China)
2025
State Key Laboratory of Desert and Oasis Ecology
2023-2025
Tsinghua University
2025
University of Chinese Academy of Sciences
2022-2024
Technology and Engineering Center for Space Utilization
2018-2024
Wuhu Hit Robot Technology Research Institute
2024
State Key Laboratory of Transducer Technology
2021-2023
Aerospace Information Research Institute
2021-2023
Global drylands, covering about 41% of Earth’s surface and inhabited by 38% the world’s population, are facing stark challenges water scarcity, low productivity, food insecurity. This paper highlights major constraints to agricultural traditional irrigation scheduling methods, associated challenges, efforts, progress enhance use efficiency (WUE), conserve water, guarantee security overviewing different smart approaches. Widely used methods (based on weather, plant, soil moisture conditions)...
Abstract The human‐environmental system in drylands is centered on oases. Despite its extent and socio‐ecological importance, understanding the dynamic changes of global oases their human environmental driving forces imperative for sustainable development under warming. Nevertheless, how they respond to evolving environment are not well established. In this study, three criteria were summarized (i.e., existing dryland climates, surrounded or partially by desert terrain, having a reliable...
The BRASSINAZOLE-RESISTANT (BZR) transcription factor is a core component of brassinosteroid (BR) signaling and involved in the development many plant species. BR essential for initiation elongation cotton fibers. However, mechanism BR-regulating fiber function BZR poorly understood Gossypium hirsutum L. (cotton). Here, we identified family protein referred to as GhBZR3 cotton. Overexpression Arabidopsis caused shorter root hair length, hypocotyl cell indicating that negatively regulates...
Reservoir computing is a potential neuromorphic paradigm for promoting future disruptive applications in the era of Internet Things, owing to its well-known low training cost and compatibility with hardware. It has been successfully implemented by injecting an input signal into spatially extended reservoir nonlinear nodes or temporally delayed feedback system perform temporal information processing. Here we propose novel nondelay-based computer using only single micromechanical resonator...
ABSTRACT Monitoring river connectivity across large regions is essential for understanding hydrological processes and environmental management. However, comprehensive assessments of are often hindered by inaccurate dam databases, which biased towards larger dams while overlooking smaller or low‐head dams. To enhance the accuracy assessments, we developed three advanced convolutional neural networks (CNNs; YOLOv5, Advance‐You Only Look Once [YOLO], Faster R‐CNN) to accurately classify...
In this paper, a simplified simulation scenario of clustering against multi-target ship formation is constructed, and closed-loop process OODA strikes containing elements situational fusion, target assignment, collision avoidance, coordinated obstacle avoidance designed to preliminarily validate the effect UAV swarming.
Video dubbing aims to synthesize realistic, lip-synced videos from a reference video and driving audio signal. Although existing methods can accurately generate mouth shapes driven by audio, they often fail preserve identity-specific features, largely because do not effectively capture the nuanced interplay between cues visual attributes of identity . As result, generated outputs frequently lack fidelity in reproducing unique textural structural details identity. To address these...
<title>Abstract</title> Bubbles are commonly regarded as fragile and ephemeral structures due to liquid film drainage evaporation<sup>1–4</sup>. Previous attempts extend bubble lifespan have relied on carefully controlled environmental conditions the suppression of external perturbations<sup>5</sup>. In this study, we present a counterintuitive phenomenon: stabilization sessile bubbles through vertical vibration. Contrary expectation that vibration would destabilize bubbles, demonstrate it...
With the increasing impact of human activities on environment, evapotranspiration (ET) has changed in arid areas, which further affects water resources availability region. Therefore, understanding ET and its components is helpful to management areas. This study verified accuracy Fisher's model (PT-JPL model) for estimation southern Xinjiang, China by using evaporation complementarity theory dataset (AET dataset). The (T:E) six land-use types were estimated Xinjiang from 1982 2015, was...
Crop sap flow is a critical indicator of crop water demand, and predicting its variation trend essential for adjusting agricultural planting structure managing resource in hyper-arid areas. Presently, research on areas faces limitations due to inadequate meteorological data restricted monitoring duration, leading imprecise assessments environmental impacts future flow. Consequently, this hinders effective irrigation scheduling oasis sustainable development policy. This study analyzed the...
High-resolution oasis maps are imperative for understanding ecological and socio-economic development of arid regions. However, due to the late establishment relatively niche nature discipline, there no high-precision datasets related oases in world date. To fill this gap, detailed visual interpretation remote sensing images on Google Earth Professional or Sentinel-2 was conducted summer 2020, first time, a dataset China's (abbreviation HDCO) with resolution 1 meter constructed. HDCO...
With the continuous exploration of space science, a large number domain-related materials and scientific literature are constantly generated, mostly in form text, which contains rich unexplored domain knowledge. Natural language processing technology has made rapid development pre-trained models provide promising information extraction tools. However, due to strong professionalism there many concepts technical terms. Moreover, Chinese texts have complex structures word combinations, may...