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

Comparison of network training duration. by Bei Huang (485021)

Subjects:

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Parameters of trained algorithms. by Swathi Anil (17382903)

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>…”

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

“…The issue of overfitting is significantly resolved, unlike in the case of the Backpropagation Neural Network (BPNN), which is used as a benchmark for comparison. Overall, the proposed algorithm significantly improves data training accuracy and generalization performance.…”

Types of training algorithms. by Caixia Yan (6647072)

Training algorithm flow. by Xing Chen (140292)

“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”

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

Subjects:

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

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

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

Illustrative diagram of the algorithm selection, training dataset building and training/testing process. by Leonardo Costa Ribeiro (10439243)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Various metrics of the training model. by Lai Yingdong (22403854)

“…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…”

Associative memory paradigm used to train the feature decoders. by Sam Hall-McMaster (10343795)

Subjects:

The flow chart of the PPO algorithm. by Qichao Wang (5132438)

“…The simulation results demonstrate that the controller trained using this algorithm can achieve constant force grinding without setting up the environment model in advance and has some environmental adaptability.…”