The tissue detection pipeline. by Andrea Bizzego (6519749)

Related studies on IDS using deep learning. by Arshad Hashmi (13835488)

“…The attention layer and the BI-LSTM features are concatenated to create mapped features before feeding them to the random forest algorithm for classification. …”

The architecture of the BI-LSTM model. by Arshad Hashmi (13835488)

“…The attention layer and the BI-LSTM features are concatenated to create mapped features before feeding them to the random forest algorithm for classification. …”

Comparison of accuracy and DR on UNSW-NB15. by Arshad Hashmi (13835488)

“…The attention layer and the BI-LSTM features are concatenated to create mapped features before feeding them to the random forest algorithm for classification. …”

Comparison of DR and FPR of UNSW-NB15. by Arshad Hashmi (13835488)

“…The attention layer and the BI-LSTM features are concatenated to create mapped features before feeding them to the random forest algorithm for classification. …”

Data_Sheet_1_Automatic Detection for Multi-Labeled Cardiac Arrhythmia Based on Frame Blocking Preprocessing and Residual Networks.PDF by Zicong Li (228040)

“…This study aimed to develop an auto-detection algorithm, which extracts valid features from 12-lead ECG for classifying multiple types of cardiac states.…”

Super.Complex identifies likely protein complexes within a PPI network using a distributed supervised AutoML method. by Meghana Venkata Palukuri (11890672)

Recognition of each neuron’s digital identity. by Yuxiang Wu (748543)

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

“…Finally, for spatial relationship verification, a Spatial Coverage Consistency Checking Operator for MCLP Results (SCCCOMR) is designed. Theoretical and applied experiments are conducted using four solvers: QBSolv, D-Wave Hybrid binary quadratic model 2, D-Wave Advantage system 4.1, and Gurobi. …”

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. …”

DataSheet_1_Histopathology image classification: highlighting the gap between manual analysis and AI automation.pdf by Refika Sultan Doğan (17799677)

“…Artificial intelligence algorithms, such as convolutional neural networks, have shown remarkable capabilities in pathology image analysis tasks, including tumor identification, metastasis detection, and patient prognosis assessment. …”