Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabe... by Ramsés Noguez Imm (6658637)

Summary of LITNET-2020 dataset. by Asmaa Ahmed Awad (16726315)

SHAP analysis for LITNET-2020 dataset. by Asmaa Ahmed Awad (16726315)

Comparison of intrusion detection systems. by Asmaa Ahmed Awad (16726315)

Parameter setting for CBOA and PSO. by Asmaa Ahmed Awad (16726315)

NSL-KDD dataset description. by Asmaa Ahmed Awad (16726315)

The architecture of LSTM cell. by Asmaa Ahmed Awad (16726315)

The architecture of ILSTM. by Asmaa Ahmed Awad (16726315)

Parameter setting for LSTM. by Asmaa Ahmed Awad (16726315)

LITNET-2020 data splitting approach. by Asmaa Ahmed Awad (16726315)

Transformation of symbolic features in NSL-KDD. by Asmaa Ahmed Awad (16726315)

Testing results for classifying AD, MCI and NC. by Nicodemus Songose Awarayi (18414494)

An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. by Zhengdong Wang (35299)

Confusion matrix. by Yixian Wen (12201388)

Parameter settings. by Yixian Wen (12201388)

Event-driven data flow processing. by Yixian Wen (12201388)

Dynamic resource allocation process. by Yixian Wen (12201388)

Thesis-RAMIS-Figs_Slides by Felipe Santibañez-Leal (10967991)

“…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP by Xiaoyuan Wang (492534)

“…The specific work is as follows: (1) design simulated driving experiment and real driving experiment, determine the fatigue state of drivers according to the binary Karolinska Sleepiness Scale (KSS), and establish the fatigue driving sample database. (2) Improved Multi-Task Cascaded Convolutional Networks (MTCNN) and applied to face detection. …”

Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf by Cecilia Lindig-León (7889777)

“…In this way, for each binary problem, the CSP algorithm produces features to determine if the specific body part is engaged in the task or not. …”