Example of outputs generated in Step1 to 3 of the CDWRL algorithm. by Zainab Mansur (18196408)

Graph generated characteristics for multiple algorithms. by Aviv Segev (822223)

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

Comparison of algorithm convergence process. by Miaomiao Sun (5220644)

Tuned values of parameters of each algorithm. by Miaomiao Sun (5220644)

Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis. by Richard Porwancher (11413931)

Morphing Attack Potential (MAP) of morphs generated by the UBO morpher. by Roman Kessler (2559916)

Multiple Chinese flowering cabbage with leaf occlusion detection and localization. by Zhongjian Xie (4633099)

Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models by Peiliang Bai (12803197)

“…Their detection is based on a two-step algorithm, wherein the first step, an exhaustive search for a candidate change point is employed for overlapping windows, and subsequently a backward elimination procedure is used to screen out redundant candidates. …”

Tag shift detection algorithm. by Ding Zhang (179432)

Multiple Chinese flowering cabbage without leaf occlusion detection and localization. by Zhongjian Xie (4633099)

AUC scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

Subjects:

Recall scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

Subjects:

Algorithm detection performance. by Kangning Li (6069629)

“…The experimental results demonstrate that the improved YOLOv5 algorithm exhibits high mAP and accuracy in bearing defect detection, enabling more precise identification the types of small target defects on bearings in complex scenarios with multiple coexisting defects and overlapping detection targets, thereby providing valuable reference for practical bearing defect detection.…”

qPeaks: A Linear Regression-Based Asymmetric Peak Model for Parameter-Free Automatized Detection and Characterization of Chromatographic Peaks in Non-Target Screening Data by Max Reuschenbach (16922906)

“…We present qPeaks (quality peaks), a novel, user-parameter-free algorithm for peak detection and peak characterization applicable to chromatographic data. …”

F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

Subjects:

Multiple sequence alignment plot generated by Unipro UGENE [32]. by Rui Wang (52434)

Increasing algorithm’s responsiveness to multiple stakeholders (programs and students). by Briance Mascarenhas (15194984)

The Es algorithm. by Zainab Mansur (18196408)

“…The improved normalization model is an unsupervised method that does not require the use of a special dictionary or annotated data. It combines rule-based patterns of words with repeated letters and the SymSpell spelling correction algorithm to remove repeated letters within the words by multiple rules regarding the position of repeated letters in a word, be it at the beginning, middle, or end of the word and the repetition pattern. …”

The DCMs algorithm. by Zainab Mansur (18196408)

“…The improved normalization model is an unsupervised method that does not require the use of a special dictionary or annotated data. It combines rule-based patterns of words with repeated letters and the SymSpell spelling correction algorithm to remove repeated letters within the words by multiple rules regarding the position of repeated letters in a word, be it at the beginning, middle, or end of the word and the repetition pattern. …”