Optimized network structure. حسب Menaa Nawaz (14304920)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. …"

Overall systemic risk in banking networks with different matching algorithms. حسب Bo Zhu (118038)

SVR and MLPR algorithm flow optimized by GridSearchCV. حسب Jintao Li (448681)

The structure of the Resnet50. حسب Nour Eldeen Mahmoud Khalifa (19259450)

Evolution of changing weights in the optimization of the MPC controller. حسب Hedyeh Jafari (9667127)

الموضوعات:

The flow of the SP-DRL algorithm. حسب Jie Fang (306330)

"…A model-free reinforcement learning algorithm is designed to train network parameters to optimize the packing sequence. …"

Experiment 4: Evaluating modularity-based clustering methods on tree-of-cliques networks. حسب Yasamin Tabatabaee (18095491)

The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization حسب James A. Lumley (9464878)

"…This is particularly useful in the area of Absorption, Distribution, Metabolism, and Elimination (ADME) analysis that is less influenced by 3D structural binding effects. …"

The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization حسب James A. Lumley (9464878)

"…This is particularly useful in the area of Absorption, Distribution, Metabolism, and Elimination (ADME) analysis that is less influenced by 3D structural binding effects. …"

Structure of DBN model. حسب Saraswathi M. (19353597)

Structure diagram of LSTM cell model. حسب Yao Hu (3479972)

Results of RF algorithm screening factors. حسب Jintao Li (448681)

Data Sheet 1_Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system.docx حسب Yuting Cheng (11954209)

"…Repair costs are estimated using the FEMA P-58 methodology, while robustness is quantified by the variability of structural response under seismic uncertainty. The core contribution lies in integrating these three metrics (FVD cost, repair cost, and a robustness measure) into an integrated optimization process using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). …"

Data_Sheet_2_Assessing the impact of forest structure disturbances on the arboreal movement and energetics of orangutans—An agent-based modeling approach.PDF حسب Kirana Widyastuti (13848250)

"…Moreover, it demonstrates the suitability of high-performance computing to optimize the calibration of complex agent-based models describing animal behavior at a fine spatio-temporal scale (1-m and 1-s granularity).…"

Data_Sheet_1_Assessing the impact of forest structure disturbances on the arboreal movement and energetics of orangutans—An agent-based modeling approach.pdf حسب Kirana Widyastuti (13848250)

"…Moreover, it demonstrates the suitability of high-performance computing to optimize the calibration of complex agent-based models describing animal behavior at a fine spatio-temporal scale (1-m and 1-s granularity).…"

Data_Sheet_2_Assessing the impact of forest structure disturbances on the arboreal movement and energetics of orangutans—An agent-based modeling approach.PDF حسب Kirana Widyastuti (13848250)

"…Moreover, it demonstrates the suitability of high-performance computing to optimize the calibration of complex agent-based models describing animal behavior at a fine spatio-temporal scale (1-m and 1-s granularity).…"

Data_Sheet_1_Assessing the impact of forest structure disturbances on the arboreal movement and energetics of orangutans—An agent-based modeling approach.pdf حسب Kirana Widyastuti (13848250)

"…Moreover, it demonstrates the suitability of high-performance computing to optimize the calibration of complex agent-based models describing animal behavior at a fine spatio-temporal scale (1-m and 1-s granularity).…"

Improved YOLOv7 network structure. حسب Xiangqian Xu (17310895)

Deepwise separable convolution structure diagram. حسب Xiangqian Xu (17310895)