Comparison between ILSTM and machine learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”

Detection results of different methods over the rail defect datasets. by Hailang Li (12557543)

Effect of image resolution on the performance of the binary classifier algorithm in predicting occurrence of a bird target(s) on an individual image using the validation imagery se... by Tsung-Wei Ke (18297551)

Effect of training regions on the performance of the Mask R-CNN detection algorithm based on the refined annotation bounding boxes. by Tsung-Wei Ke (18297551)

Performance of the baseline SVM and Mask R-CNN detection algorithms based on the original, manually-derived annotated bounding boxes. by Tsung-Wei Ke (18297551)

Feature augmentation methods within FAB. by Hailang Li (12557543)

Image augmentation methods within IAB. by Hailang Li (12557543)

Performance of the Mask R-CNN detection algorithm based on the original, manually-derived, annotation bounding boxes, and the refined annotation bounding boxes. by Tsung-Wei Ke (18297551)

The main workflow of the proposed algorithm. by Xin Li (51274)

The detected blocks. by Xin Li (51274)

Effect of image resolution on the performance of the Mask R-CNN algorithm in detecting individual bird instances as applied to the validation imagery set. by Tsung-Wei Ke (18297551)

Performance comparison based on feature groups and their combinations. by Rinrada Tanthanathewin (18611171)

Subjects:

Comparison of our EX-AN segmentation method against comparative methods: BT-WS and AT-ST, and performance comparison of our used bagged tree ensemble classifier method against othe... by Rinrada Tanthanathewin (18611171)

Subjects:

Joint Detection of Change Points in Multichannel Single-Molecule Measurements by Hugh Wilson (11797444)

“…MULLR is an extension of the popular single-channel implementation for change point detection based on a binary segmentation and log-likelihood ratio test framework. …”

Illustrations of fovea detection procedure. The typical case (left) and the abnormal case (right) with ILMs (black lines), fitted lines (red lines), intersection points (blue verti... by Rinrada Tanthanathewin (18611171)

Subjects:

Scanners and staining methods. by Rémy Peyret (14691736)

Particle tracking validation of the S8 algorithm. by Jennifer M. Knighten (15453354)

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”