ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

“…<p>The actual training effect of four algorithms on original photo data (All images are original images taken by the author).…”

Elements: A Sustainable, Resource-Efficient Cyberinfrastructure for Notebook Interactive ML Training Workloads by Yue Cheng (22087328)

Risk element category diagram. by Yao Hu (3479972)

“…It then handed over the new data to the trained LSTM model for risk assessment and prediction, grading and warning of risks. …”

Training algorithm flow. by Xing Chen (140292)

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The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

The models’ training parameters. by Songsong Wang (8088293)

“…The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…”

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Performance of algorithms outside the training species. by Sven B. Gould (12237287)

Illustration of the training algorithm for the sPHMM. by Tianshu Li (1527088)

Characteristics of training algorithms. by Tuan Anh Nguyen (121944)

“…<div><p>Data training algorithms based on Artificial Intelligence (AI) often encounter overfitting, underfitting, or bias issues. …”

The mAP for all algorithms and 80% of the data used for training. by Mohammad Amin Fraiwan (20469541)

“…<p>The mAP for all algorithms and 80% of the data used for training.</p>…”

The mAP for all algorithms and 50% of the data used for training. by Mohammad Amin Fraiwan (20469541)

“…<p>The mAP for all algorithms and 50% of the data used for training.</p>…”

The mAP for all algorithms and 60% of the data used for training. by Mohammad Amin Fraiwan (20469541)

“…<p>The mAP for all algorithms and 60% of the data used for training.</p>…”

Data augmentation is applied both geometrically and in terms of intensity. Geometrically, the images are mirrored, flipped, rotated, and randomly cropped. For intensity augmentatio... by Yide Di (20969124)

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Comparison of training precision and validation precision of different algorithms. by Guozhu Sui (21672798)

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Comparison of training results before and after improvement of LSTM-AE algorithm. by Hao Cao (2248066)

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”

Steps in the proposed Apriori algorithm. by Yongkang Ding (21807539)

“…The study adopted the Apriori association rule algorithm in data mining. First, the physical data of basketball players were collected and preprocessed. …”