, MSE, and MAE of the optimised algorithms. حسب Itxasne Antúnez Sáenz (22794696)

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

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…Finally, we derive an off-grid sparse model for the reconstructed signal by exploiting sparsity in the null domain and use Bayesian learning to compute the maximum a posteriori probability of the source signal, thus achieving DOA estimation. …"

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

"…Finally, we derive an off-grid sparse model for the reconstructed signal by exploiting sparsity in the null domain and use Bayesian learning to compute the maximum a posteriori probability of the source signal, thus achieving DOA estimation. …"

Risk element category diagram. حسب Yao Hu (3479972)

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

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

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

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms حسب Guangyin Jia (21075537)

"…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …"

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

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

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

values scored by the different regression algorithms. Linear Regression (LR), Random Forest (RF), Decision Tree (DT), X Gradient Boosting(XGB), Support Vector Machine (SVM), Gradie... حسب Itxasne Antúnez Sáenz (22794696)

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

الموضوعات: "…bayesian 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:

Dataset for 'An Automated Workflow of Deep Learning Ensemble Model with Principal Component Analysis for Enhanced Material Characterisation in Energy Dispersive Spectroscopy' حسب Fanzhi Su (21005174)

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

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)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"