Data Sheet 1_Design and testing of a RealSense-based variable spraying control system for field kale.docx حسب Yahui Luo (21587156)

Architecture of the DGAK Module and AKConv Initial Sampling Coordinate Generation Algorithm. حسب Siyuan Tang (5963312)

الموضوعات:

Verification of the in-line PS function. حسب Raul Castañeda (13932971)

Available functions in the utility package. حسب Raul Castañeda (13932971)

The performance comparison between anchor-based and anchor-free algorithms. حسب Olarewaju Mubashiru Lawal (14710251)

Average modulation performance. حسب Stefan K. Ehrlich (6475490)

Ranking of candidate gene expression based on M value using geNorm algorithm. حسب Anurag Kumar (679730)

Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates حسب Peng Gao (35465)

Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates حسب Peng Gao (35465)

The flow chart of the GML algorithm. حسب Sheng He (176728)

الموضوعات:

Limitations of our algorithm. حسب Min Xu (15203)

Implementation of ensemble classifier based on four decision tree algorithms. حسب Ai Zhang (290138)

الموضوعات:

Visualization for the module 1. حسب Zongjin Li (38031)

الموضوعات:

Available functions in the phase-shifting package. حسب Raul Castañeda (13932971)

Available functions in the numerical propagation package. حسب Raul Castañeda (13932971)

Available functions in the phase reconstruction package. حسب Raul Castañeda (13932971)

A new grid- and modularity-based layout algorithm for complex biological networks حسب Sheng He (176728)

الموضوعات:

The workflow of our augmented reality-based image capture module. حسب Guixiang Zhang (383795)

الموضوعات:

Hub-gene centered subnetwork based on random walk and neighborhood scoring algorithms. حسب Xiao Xu (112147)

<b>A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention</b> حسب yizong wang (20387247)

"…Experimental results demonstrate that on a dataset comprising 12 diseases and 2 healthy states, the mean Average Precision at IoU 0.50 (mAP50) of this model achieved 97%, with a Precision of 91.5%; these figures reflect improvements of 1.1% and 1.2%, respectively, compared to the original YOLOv8 algorithm. Additionally, the inference speed increased by 14.6%, fully meeting the real-time requirements for detecting diseases in citrus fields and illustrating the effectiveness and advanced nature of the improved algorithm, thereby providing robust support for the rapid identification of diseases in the citrus cultivation process.…"