Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

Risk element category diagram. حسب Yao Hu (3479972)

"…This article extracted features related to risk assessment, such as weather factors, airport facility inspections, and security check results, and conducted qualitative and quantitative analysis on these features to generate a datable risk warning weight table. This article used these data to establish an LSTM model, which trained LSTM to identify potential risks and provide early warning by learning patterns and trends in historical data. …"

Flowchart of DQN algorithm. حسب Jiandong Qiu (20389944)

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

Example measurement and analysis units for landscape elements. حسب Jaewon Han (8660295)

الموضوعات:

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

Flowchart of the subspace fitting algorithm for interpolated coprime arrays. حسب Chuanxi Xing (20141665)

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

Coprime array with interpolated array elements. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

Comparison of different optimization algorithms. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach حسب Soundous Touati (20282599)

الموضوعات:

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach حسب Soundous Touati (20282599)

الموضوعات:

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach حسب Soundous Touati (20282599)

الموضوعات:

Determination of cyclic behavior of various cross-section composite column-beam connections reinforced with FRP composite using FEM analysis and ML models حسب Yasemin Simsek Turker (22340676)

"…Mean learning (XGBoost and the random forest algorithm) and numerical methods were used to identify the data collected experimentally due to the rotation behavior. …"

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). حسب Johannes Weyer (13392175)

Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction حسب Mohamad A. Raja (19640297)

الموضوعات:

Performance of machine learning algorithms. حسب Wenxue Liu (6877754)

Table 6_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …"

Table 7_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …"