DataSheet1_A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithm.docx by Yuchao Qiao (17064012)

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

“…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”

The bottleneck residual block for Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

“…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”

DeepDate model’s architecture design. by Nour Eldeen Mahmoud Khalifa (19259450)

“…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”

<b>The Application of the Optimized Genetic Algorithm in SerDes Circuit Design</b> by Xuan Wei (18564826)

“…The CDR structure based on phase selector/phase interpolator type is used as the CDR circuit of the high-speed serial interface so that the final circuit function and performance meet the requirements. …”

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

DataSheet1_A two-phase robust comprehensive optimal scheduling strategy for regional distribution network based on multiple scenarios.ZIP by Hongde Ma (20137539)

“…Furthermore, a novel two-phase decomposition model based on the box decomposition algorithm will be introduced to handle the temporal dependencies between energy storage and unit commitment, optimizing both operational costs and system flexibility. …”

Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization by Sandeep Jagonda Patil (22048337)

“…The performance of the proposed LEGAN-BEPO-BCMANET technique attains 29.786%, 19.25%, 22.93%, 27.21%, 31.02%, 26.91%, and 25.61% greater throughput, compared to existing methods like Blockchain-based BATMAN protocol utilizing MANET with an ensemble algorithm (BATMAN-MANET), Block chain-based trusted distributed routing scheme with optimized dropout ensemble extreme learning neural network in MANET (DEELNN-MANET), A secured trusted routing utilizing structure of a new directed acyclic graph-blockchain in MANET internet of things environment (DAG-MANET), An Optimized Link State Routing Protocol with Blockchain Framework for Efficient Video-Packet Transmission and Security over MANET (OLSRP-MANET), Auto-metric Graph Neural Network based Blockchain Technology for Protected Dynamic Optimum Routing in MANET (AGNN-MANET) and Data security-based routing in MANETs under key management process (DSR-MANET) respectively.…”

Data in Fig 16. by Feng Gao (3548)

Data in Fig 7. by Feng Gao (3548)

Different strategy in Fig 18. by Feng Gao (3548)

The grid settings near the manikin. by Feng Gao (3548)

Boundary conditions used during the simulations. by Feng Gao (3548)

Data logging in Fig 17. by Feng Gao (3548)

Unsteady simulation for Fig 12. by Feng Gao (3548)

Data in Fig 17. by Feng Gao (3548)

Data in Fig 8. by Feng Gao (3548)

Sampling points during the 6th respiration. by Feng Gao (3548)

Meshing of the test chamber. by Feng Gao (3548)

Steady simulation for Fig 12. by Feng Gao (3548)