Optimized network structure. by Menaa Nawaz (14304920)

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

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

The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

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

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

Subjects:

The flow of the SP-DRL algorithm. by 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. by Yasamin Tabatabaee (18095491)

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”

The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization by 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 by 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. by Saraswathi M. (19353597)

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

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

Data Sheet 1_Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system.docx by 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 by 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 by 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 by 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 by 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. by Xiangqian Xu (17310895)