Results 161 to 170 of about 4,805,610 (298)

Ultra-high density perovskite nanowire array memristor-based multi-layer perceptron. [PDF]

Nat Commun
Poddar S, Khan B, Kumar S, Li J, Ding Y, Chen Z, Wang K, Jin C, Wei J, Peng Z, Jaesiri OM, Chan M, Semmelhack JL, Fan Z.   +13 more
europepmc   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

Chemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn, Dominik P. Goldstein, Niels Seijsener, Kevin Dao, Ge H. M. Driessen, Artur M. Schweidtmann   +5 more
wiley   +1 more source

Integrating multi-layer perceptron and random forest in an ensemble framework for improved genomic prediction accuracy and SHAP-derived interpretability of residual feed intake in cattle. [PDF]

J Anim Sci Biotechnol
Ong EJK, Mooney MH, Rezwan FI, Wang H, Shirali M.   +4 more
europepmc   +1 more source

Probabilistic Approach to COVID-19 Data Analysis and Forecasting Future Outbreaks Using a Multi-Layer Perceptron Neural Network. [PDF]

Diagnostics (Basel), 2022
Khan RU, Almakdi S, Alshehri M, Kumar R, Ali I, Hussain SM, Haq AU, Khan I, Ullah A, Uddin MI.   +9 more
europepmc   +1 more source

Multi‐factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics‐informed neural network‐driven optimization

Deep Underground Science and Engineering, EarlyView.
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang, Guoyao Xu, Liyuan Liu, Yao Zhang, Sitao Zhu, Hongyang Chu, Kaikai Zhao   +6 more
wiley   +1 more source

Incremental model predictive control of PMSM based on parameter tuning of multi-layer perceptron neural network and disturbance observer. [PDF]

Sci Rep
Yu G, Wu Z, Wang Y, Hua Y.
europepmc   +1 more source

Using multi-layer perceptron to identify origins of replication in eukaryotes via informative features. [PDF]

BMC Bioinformatics, 2021
Fan Y, Wang W.
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Adaptive golf-optimized multi-layer perceptron framework for energy-efficient geographic routing and extended network lifetime in MANETs. [PDF]

Sci Rep
Udhayamoorthi M, Ramya R, Saravanan M, Manoharan JS.   +3 more
europepmc   +1 more source

A multi-layer perceptron-based approach for early detection of BSR disease in oil palm trees using hyperspectral images. [PDF]

Heliyon, 2022
Lee CC, Koo VC, Lim TS, Lee YP, Abidin H.   +4 more
europepmc   +1 more source