Multi-Field Detection (MFD). by Yuxiang Wu (748543)

“…Bottom: ANN outputs several candidate bounding boxes surrounding an input local maxima, from which the optimal one is chosen by the non-maximum suppression algorithm. …”

Multi scale detection. by Bo Tong (2138632)

A vector geometry–based eddy detection algorithm and eddy and multi-factor spatio-temporal matching algorithm by Changming Dong (1726852)

“…<p> The eddy detection method  is based on an automatic eddy ecognition algorithm that uses the geometric characteristics of a flow field . …”

The workflow of the proposed algorithm. by Tingge Zhu (7326176)

Multi-scale detection of hierarchical community architecture in structural and functional brain networks by Arian Ashourvan (6685232)

“…Our multi-scale community detection algorithm links a graph to copies of itself across neighboring topological scales, thereby becoming sensitive to conserved community organization across levels of the hierarchy. …”

Annotation files generated from the training set. by Mengyuan Yan (14200322)

DataSheet_1_Multi-scenario pear tree inflorescence detection based on improved YOLOv7 object detection algorithm.xlsx by Zhen Zhang (86004)

“…The model is trained on a diverse dataset collected from real-world field settings. Upon validation, the improved YOLOv7-E object detection algorithm achieves an average precision and recall of 91.4% and 89.8%, respectively, in inflorescence detection under various time periods, distances, and weather conditions. …”

DataSheet_2_Multi-scenario pear tree inflorescence detection based on improved YOLOv7 object detection algorithm.xlsx by Zhen Zhang (86004)

“…The model is trained on a diverse dataset collected from real-world field settings. Upon validation, the improved YOLOv7-E object detection algorithm achieves an average precision and recall of 91.4% and 89.8%, respectively, in inflorescence detection under various time periods, distances, and weather conditions. …”

Reliability of inter-layer multi-scale community allegiance of brain regions in SC and FC graphs. by Arian Ashourvan (6685232)

Application of multi-scale community detection to subject-level and group-level structural brain networks. by Arian Ashourvan (6685232)

Detection results on the FLIR dataset using different algorithms. by Weilun Wang (21559389)

Application of multi-scale community detection to subject-level and group-level resting state functional brain networks. by Arian Ashourvan (6685232)

Detection results on the HIT-UAV dataset using different algorithms. by Weilun Wang (21559389)

Network structure of multi-task learning. by Weilin Wu (13736)

“…While the panoramic driving perception algorithm YOLOP has achieved outstanding performance in multi-task processing, it suffers from poor adaptability of feature map pooling operations and loss of details during downsampling. …”

Actions performed by MONET when detecting heavy modules. Dots represent samples, and enclosing circles represent modules. by Nimrod Rappoport (9379612)

Hierarchical communities obtained from CoV-human network using the “community-based” visualization option provided by UNIPred-Web. by Paolo Perlasca (9909695)

Fuzzy rule algorithm for severity assessment. by Chatla Subbarayudu (21368330)

Four major algorithms used for signal detection. by Ruibo Li (2063167)

“…Disproportionality analysis was performed by calculating the reporting odds ratios (ROR), proportional reporting ratio (PRR), Bayesian analysis confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) to detect positive signals.…”

Four major algorithms used for signal detection. by Junfa Liu (209177)

“…SCARs related to apalutamide detected positive signals in all four algorithms, while enzalutamide and darolutamide did not show positive signals. …”

Four major algorithms used for signal detection. by Xiaoling Zhong (181270)