Results 191 to 200 of about 46,859 (313)

Hyperparameter optimization of YOLO using differential evolution, multi-fidelity optimization, and Bayesian optimization. [PDF]

Sci Rep
Gill MU, Rajendran P.
europepmc   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Deep self-attention reinforcement learning adaptive gait planning and control for lower limb rehabilitation exoskeletons robot. [PDF]

iScience
Zhang P, Li X, Wang B, Gao X, Liu T, Zhang B, Qin F, Zhang Y, Li S.   +8 more
europepmc   +1 more source

ORTHOBO: Orthogonal Bayesian Hyperparameter Optimization

Maresa Schröder, Pascal Janetzky, Michael Klar, Stefan Feuerriegel   +3 more
openalex   +1 more source

BiLAT: A BiLSTM Attention Transformer Model with Hyperparameter Optimization for Robust Fake News Detection [PDF]

T. Poornima
openalex   +1 more source

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

Advanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui, Dejia Wen, Patrick Yu‐Wai‐Man, Xiaorong Li   +3 more
wiley   +1 more source

A new good point set stepwise shrinkage optimization in machine learning model for fog node performance prediction. [PDF]

Sci Rep
Bo Z, Hasan MK, Sundararajan EA, Islam S, Zhang P, Ahmed FRA, Babiker NBM.   +6 more
europepmc   +1 more source

Deep Learning-Based Hyperparameter Optimization for Enhanced Segmentation of RGB Images in Oil Spill Detection Within Port Environments

Ibrahim Muhammad Kurah, Shamsuddeen Adamu, Hitham Alhussian, Ayed Alwadain, Dahiru Adamu Aliyu, Hussaini Mamman, Aliyu Garba   +6 more
openalex   +1 more source

A Dynamic Early Stopping Criterion for Random Search in SVM Hyperparameter Optimization

, 2018
Adrian Cătălin Florea, Răzvan Andonie
openalex   +2 more sources

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source