Feature preprocessing methods. by Shenglan Tang (707472)

Comparison of statistical parameters of different methods. by Dinghong Mu (14204200)

The frame of the method in this paper is composed of four parts: data preprocessing, feature selection, classifier modeling and prediction. by Jinyu Wen (10785855)

Preprocessed AIS trajectory data plotted as latitude versus longitude. by Umar Zaman (19859645)

Subjects:

CRFS preprocessing results. by Bo Yu (241082)

“…Initially, differential gut microbiota data were extracted from 39 Parkinson’s disease (PD) patients and their corresponding 39 healthy spouses. Subsequently, a preprocessing method called CRFS (combined ranking using random forest scores and principal component analysis contributions) was introduced for feature selection. …”

Summary of data before and after preprocessing. by Riaz Ud Din (21101290)

Performance evaluation of proposed method GNN-TINet and existing methods. by Xiaoyi Zhang (577299)

Comparison of metrics across different methods. by Umar Zaman (19859645)

Subjects:

Diagram of the CRFS preprocessing process. by Bo Yu (241082)

“…Initially, differential gut microbiota data were extracted from 39 Parkinson’s disease (PD) patients and their corresponding 39 healthy spouses. Subsequently, a preprocessing method called CRFS (combined ranking using random forest scores and principal component analysis contributions) was introduced for feature selection. …”

Complexity analysis of the proposed and existing method. by Xiaoyi Zhang (577299)

KL and CKA values for the three fusion methods. by Fang Zhu (185566)

Provides a visual comparison of different fusion methods. by Fang Zhu (185566)

Segmentation results of ten fusion methods under BANet. by Fang Zhu (185566)

Process of real-time data gathered from the AIS device, as well as the trajectory extraction, AIS validity filtering, noise filtering, and the final preprocessed trajectory. by Umar Zaman (19859645)

Subjects:

Qualitative comparison of ten fusion methods on scene 05005 from the RoadScene dataset. by Fang Zhu (185566)

Qualitative comparison of ten fusion methods on scene 00754N from the MSRS dataset. by Fang Zhu (185566)

Steps involved in the SE-DenseNet technique. by Wafa Almukadi (21722188)

Qualitative comparison of ten fusion methods on scene 01443 from the M³FD dataset. by Fang Zhu (185566)

Sensor Data Fusion Module: Includes the overall workflow of multi-sensor data acquisition (LiDAR, depth camera, IMU), preprocessing, CNN feature extraction, LIO-SAM data fusion, an... by Yan Chen (4308)

Steps involved in the BHHSHO technique. by Fatmah Yousef Assiri (20308146)