Results 101 to 110 of about 173,823 (173)

Genetic Algorithm-Optimized CNN-BiLSTM Framework for Predicting the Remaining Useful Life of IGBT Modules. [PDF]

Sensors (Basel)
Hao Y, Wu J, Zhang Z, Wang Y, Wang T, Liang Y.   +5 more
europepmc   +1 more source

An efficient strategy for fine-tuning large language models. [PDF]

Front Artif Intell
Marsh B, Michaleas A, Ricke DO, Monera S, Zembruski S.   +4 more
europepmc   +1 more source

MI-SOH: a multi-indicator feature dependency model for lithium-ion battery state-of-health Estimation. [PDF]

Sci Rep
Zhuo S, Zou F, Liao L, Cai X.
europepmc   +1 more source

Industrial wastewater identification based on HPLC combined with data standardization and ensemble learning algorithms. [PDF]

RSC Adv
Li S, Qin H, Wu X, Suo Z.
europepmc   +1 more source

Systematic hyperparameter analysis of GRU and LSTM across demand pattern types: a demand-characteristic-driven meta-learning framework for rapid optimization. [PDF]

Sci Rep
El-Meehy AO, El-Kharbotly AK, El-Beheiry MM.   +2 more
europepmc   +1 more source

Automated Collateral Classification on CT Angiography in Acute Ischemic Stroke: Performance Trends Across Hyperparameter Combinations. [PDF]

Bioengineering (Basel)
Ku CM, Ger TR.
europepmc   +1 more source

Facial mark based biometric differentiation of identical twins using dynamic feature enhancement. [PDF]

Sci Rep
Brahmbhatt KJ, Prakasha K, Sanil G.
europepmc   +1 more source

Deep Learning for Predicting Late-Onset Breast Cancer Metastasis: The Single-Hyperparameter Grid Search (SHGS) Strategy for Meta-Tuning a Deep Feed-Forward Neural Network. [PDF]

Bioengineering (Basel)
Zhou Y, Arora-Jain O, Jiang X.
europepmc   +1 more source

MTMEGPS: An R package for multi-trait and multi-environment genomic and phenomic selection using deep learning. [PDF]

Front Plant Sci
Mora-Poblete F, Valenzuela-Herrera J, Balach M, Martínez-Araya CJ, Maldonado C.   +4 more
europepmc   +1 more source

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams. [PDF]

Sci Rep
Wen Y, Guo R, Duan Z, Tong Y, Tang X, Pan T, Fu C.   +6 more
europepmc   +1 more source