Results 171 to 180 of about 983,800 (290)

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning. [PDF]

NMR Biomed
Modi M, Sule S, Palumbo J, Rozowski M, Hampton GS, Bouhrara M, Czaja W, Spencer RG.   +7 more
europepmc   +1 more source

Hyperparameter Tuning and Automatic Image Augmentation for Deep Learning-Based Angle Classification on Intraoral Photographs-A Retrospective Study. [PDF]

Diagnostics (Basel), 2022
Cejudo Grano de Oro JE, Koch PJ, Krois J, Garcia Cantu Ros A, Patel J, Meyer-Lueckel H, Schwendicke F.   +6 more
europepmc   +1 more source

Quantum‐Trained AI Enables Inverse Design of Organic Frontier Orbitals at Billion‐Scale

Advanced Science, EarlyView.
Quantum‐trained AI links molecular substructures to frontier‐orbital energetics and enables interpretable screening across nearly one billion GDB‐13 molecules. By combining fragment‐ and ring‐level insights with donor–acceptor energy alignment against ITIC, the framework narrows an immense chemical space to a small set of promising candidates and ...
Yeongnam Ko, Se Jin Kim, Ki Chul Kim
wiley   +1 more source

Enhanced Dhole Optimization Algorithm for hyperparameter tuning of a TCN-BiGRU-MHA hybrid architecture for wind power forecasting. [PDF]

Sci Rep
Lale T.
europepmc   +1 more source

Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning. [PDF]

Sensors (Basel), 2022
Isabona J, Imoize AL, Kim Y.
europepmc   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

Reward design and hyperparameter tuning for generalizable deep reinforcement learning agents in autonomous racing. [PDF]

Sci Rep
Kunda NSS, Kc P, Pandey M, Kumaar AAN.
europepmc   +1 more source

AI‐Powered, Temperature‐Resolved Centrifugal Microfluidics for Rapid 3D Phase‐Diagram Generation of Biomolecular Condensates

Advanced Science, EarlyView.
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li, Pengjie Li, Kaiting Zhang, Yongqi Guo, Peng Chen, Bi‐Feng Liu, Yiwei Li   +6 more
wiley   +1 more source

A hybrid LSTM-GRU framework for lung cancer classification using GWO-WOA algorithm for hyperparameter tuning and BPSO for feature selection. [PDF]

Sci Rep
Amrir MMS, Ayid YM, Elshewey AM, Fouad Y.   +3 more
europepmc   +1 more source

Hyperparameter Tuning of Artificial Neural Networks for Well Production Estimation Considering the Uncertainty in Initialized Parameters. [PDF]

ACS Omega, 2022
Jin M, Liao Q, Patil S, Abdulraheem A, Al-Shehri D, Glatz G.   +5 more
europepmc   +1 more source