The brief description on the WTCCC dataset. حسب Liyan Sun (760586)

الموضوعات:

Tag shift detection algorithm. حسب Ding Zhang (179432)

Algorithm detection steps. حسب José M. Rivera-Arbeláez (12418512)

Description of the dataset features. حسب Wan-Hua Zhang (21601139)

"…This improvement aims to improve the network performance and accuracy in diabetes detection. In the study, the IRSA-BP hybrid algorithm and many other machine learning algorithms were used for diabetes prediction, and the algorithm performance was comprehensively evaluated using multiple classification metrics. …"

Evaluation of developed intrusion detection model with different heuristic algorithms. حسب P. M. Vijayan (17095147)

Evaluation of automated signal detection in noisy data with S8 algorithm. حسب Jennifer M. Knighten (15453354)

The Es algorithm. حسب 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. حسب 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 CDWRL algorithm. حسب 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 BEs algorithm. حسب 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 BMEs algorithm. حسب 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. …"

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

"…We first address the problem of detecting a single change point using an exhaustive search algorithm and establish a finite sample error bound for its accuracy. …"

Variable descriptions. حسب Yaqin He (4627711)

Variable descriptions. حسب Yaqin He (4627711)

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

"…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …"

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

"…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …"

MC-BMEs algorithm. حسب 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 TRLM2 algorithm. حسب 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. …"

Checking Algorithm (CA). حسب 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 BMs-MEs algorithm. حسب 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. …"