RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms حسب Yidan Tang (6623693)

"…The Rosetta automated Monte Carlo reaction-based ligand design (RosettaAMRLD) integrates a Monte Carlo Metropolis (MCM) algorithm and reaction-driven molecule proposal to enhance structure-based <i>de novo</i> drug discovery. …"

Schematic diagram of the Dropout optimization. حسب Peng Yang (296696)

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP حسب Xiaoyuan Wang (492534)

"…<p>It is of great practical and theoretical significance to identify driver fatigue state in real time and accurately and provide active safety warning in time. In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …"

Face recognition accuracy of distinctive ways. حسب Yan Liu (25061)

Changes in loss curves of different models. حسب Yan Liu (25061)

RFB structure. حسب Yan Liu (25061)

Facial recognition flowchart in FaceNet network. حسب Yan Liu (25061)

Visualization results of face recognition. حسب Yan Liu (25061)

ROC curves of different models. حسب Yan Liu (25061)

Test environment for research. حسب Yan Liu (25061)

Attention module. حسب Yan Liu (25061)

Feature matching errors of different models. حسب Yan Liu (25061)

Schematic diagram of P-Net, R-Net, O-Net models. حسب Yan Liu (25061)

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

"…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

"…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

"…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

"…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

"…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

"…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

"…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"