Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Evaluation of spatiotemporal variation and impact factors for vegetation net primary productivity in a typical open‐pit mining ecosystem in northwestern China
J Wang, K Cui, F Yang, J Li, C Zhang… - Land Degradation & …, 2024 - Wiley Online Library
The vegetation net primary productivity (NPP) is a key indicator for evaluating vegetation
carbon sequestration. Exploring its spatiotemporal changes and impact factors is essential …
carbon sequestration. Exploring its spatiotemporal changes and impact factors is essential …
Determinants of the transition towards circular economy in SMEs: A sustainable supply chain management perspective
H Tan, Y Yan, ZZ Wu - Environmental Science and Pollution Research, 2024 - Springer
Small and medium-sized businesses (SMEs) increasingly know the benefits of improving
resource efficiency and closing loops. These benefits include lowering material costs …
resource efficiency and closing loops. These benefits include lowering material costs …
Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?
Water scarcity poses a major obstacle to sustainable development, and precise discharge
prediction plays a vital role in enabling effective water resource management. This study …
prediction plays a vital role in enabling effective water resource management. This study …
Fracture toughness prediction using well logs and extreme gradient boosting based on particle swarm optimization in shale gas reservoir
MN Nadege, B Shu, AKF Kouassi, MB Ngungu… - Engineering Fracture …, 2025 - Elsevier
Determining the fracture toughness of unconventional reservoirs is vital to enhance
hydraulic fracture effectiveness and optimize well-completion strategies. Mode-I rock fracture …
hydraulic fracture effectiveness and optimize well-completion strategies. Mode-I rock fracture …
[HTML][HTML] Two-step fusion framework for generating 10 m resolution soil moisture with high accuracy in the cotton fields of southern **njiang
S Li, S Jiang, N Song, Y Han, J Wang - Industrial Crops and Products, 2025 - Elsevier
A timely and accurate high-resolution evaluation of soil moisture dynamics is imperative for
drought monitoring and irrigation planning in cotton fields, especially in water-deficient …
drought monitoring and irrigation planning in cotton fields, especially in water-deficient …
[HTML][HTML] A novel framework for multi-layer soil moisture estimation with high spatio-temporal resolution based on data fusion and automated machine learning
S Li, Y Han, C Li, J Wang - Agricultural Water Management, 2024 - Elsevier
High spatiotemporal resolution monitoring of multi-layer soil moisture (SM) is crucial for
optimizing agricultural water management and precision irrigation strategy. However …
optimizing agricultural water management and precision irrigation strategy. However …
Enhancing sediment load predictions: a comparative analysis of local and global fuzzy cerebellar model articulation controller (FCMAC)
N Behnia, M Hayatzadeh, MF Doghozlo - Earth Science Informatics, 2025 - Springer
Effective water resource management relies on understanding hydrological processes and
accurately predicting hydrological variables. This study highlights the critical importance of …
accurately predicting hydrological variables. This study highlights the critical importance of …
Robust controller design for a class of MIMO nonlinear systems using TOPSIS function-link fuzzy cerebellar model articulation controller and interval type-2 fuzzy …
This research suggests a novel controller capable of achieving satisfactory tracking control
performance for a class of multiple-input multiple-output (MIMO) systems. It aims to …
performance for a class of multiple-input multiple-output (MIMO) systems. It aims to …