General flow chart of the proposed method. حسب Ebru Ergün (21395498)

"…To optimize system accuracy and speed, EEG and NIRS data were segmented into discrete temporal windows. Features were extracted using the Hilbert Transform, while classification was performed via the k-nearest neighbor algorithm. …"

Data for "A Universal Framework for Long-Term Tidal Flat Elevation Mapping Using Robust Water-Land Segmentation and Homogeneous Inundation Frequency" حسب Zhaoyuan Zhang (22234525)

"…The key methodological enhancements are: (1) a spatiotemporally robust water-land segmentation ruleset that achieves over 95% classification accuracy, thereby enabling efficient and reliable delineation; (2) a phase–tide–based weighted inversion algorithm that ensures statistical homogeneity across years of AIF maps, thereby enabling the construction of a temporally unified AIF–elevation model and eliminating repetitive annual modeling. …"

Overview of our deep learning pipeline for analyzing cellular autophagy. حسب Oriana Presacan (22232246)

Traditional image analysis of the CELLULAR dataset. حسب Oriana Presacan (22232246)

Data Sheet 1_A three-classification model for identifying migraine with right-to-left shunt using lateralization of functional connectivity and brain network topology: a resting-st... حسب Weifang Nie (20173242)

"…Secondly, the laterality indices were employed to construct a three-classification model using decision tree and random forest algorithms. …"

Data Sheet 1_Tumour habitat-based radiomics analysis enhances the ability to predict prostate cancer aggressiveness with biparametric MRI-derived features.docx حسب Mengjuan Li (9266408)

Results of comparison experiment. حسب Jia Li (160557)

Model performance metrics on the testing dataset. حسب Hoc Tran (16004969)

"…</p><p>Methods</p><p>Models were trained on both k-mers and amino acid properties alongside machine learning algorithms that included random forest and XGBoost for each of the eight IAV genome segments. …"

Species distribution of the dataset. حسب Hoc Tran (16004969)

"…</p><p>Methods</p><p>Models were trained on both k-mers and amino acid properties alongside machine learning algorithms that included random forest and XGBoost for each of the eight IAV genome segments. …"

Distortion score vs. number of clusters. حسب Marcin Stawarz (10833752)

"…The research applies the K-means algorithm for clustering, which enables the segmentation of exchanges based on their similarities. …"

Silhouette coefficient vs. number of clusters. حسب Marcin Stawarz (10833752)

"…The research applies the K-means algorithm for clustering, which enables the segmentation of exchanges based on their similarities. …"

Image1_Revisiting Southern Gallo-Romance from a complexity theory standpoint: Occitan.pdf حسب Jean Léo Léonard (20458229)

"…The approach is based on concrete linguistic data from the THESOC database (Université de Nice/CNRS), contrasting the major isoglosses (macrodialectal features) with the “intricate variables”, i.e., segmental nexi, extracting data relating to strategic points in the complex dialectal network from reductionist algorithms.…"

Ankara university NuSeC and MiDeSeC datasets.zip حسب Nooshin Nemati (21689192)

Confusion matrix. حسب Wei Cui (92129)

"…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …"

Distribution of traffic categories. حسب Wei Cui (92129)

"…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …"

Model performance. حسب Wei Cui (92129)

"…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …"

Structure of encoder. حسب Wei Cui (92129)

"…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …"

Structure of informer. حسب Wei Cui (92129)

"…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …"

ProbSparse self-attention mechanism. حسب Wei Cui (92129)

"…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …"

Illustration of a NGFW. حسب Wei Cui (92129)

"…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …"