Results 181 to 190 of about 422,144 (319)

Fault Detection in Three-Phase Power Systems Using Artificial Neural Networks (ANN) / Deep Learning in MATLAB [PDF]

Mr. Ghodake J. B. Mr. Ghodake J. B.
openalex   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

Machine learning and deep learning models for predicting colorectal cancer metastases: A comprehensive review. [PDF]

Eur J Radiol Open
Getu MA, Amare T, Li K, Mehmood A, Adem YF, Santos P, Yan H.   +6 more
europepmc   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Revisiting co-expression-based automated function prediction in yeast with neural networks and updated Gene Ontology annotations. [PDF]

PLoS One
McGuire CE, Hibbs MA.
europepmc   +1 more source

Application of Artificial Intelligence in Production Planning and Supply Chain Management: Examining the Role of Machine Learning, Deep Learning, and Neural Networks in Optimizing Production Processes in the Electronics Industry of Iran

Amirhossein Mirasharafi, Elham Moghadamnia   +1 more
openalex   +2 more sources

Functional Mapping of Neurodevelopmental Disease Pathways to Key Neurodevelopmental Processes Represented in the Developmental Neurotoxicity In Vitro Testing Battery

Advanced Science, EarlyView.
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska, Kristina Bartmann, Georgea Raad, Mats Schade, Luiz Ladeira, Arif Dönmez, Jördis Klose, Nicolai Görts, Denis Polozij, Lynn‐Christin Saborowski, Farina Bendt, Bernard Staumont, Liesbet Geris, Katharina Koch, Ellen Fritsche   +14 more
wiley   +1 more source

Deep Learning-Based Approach for Optimizing Urban Commercial Space Expansion Using Artificial Neural Networks

Dawei Yang, Jiahui Zhao, Ping Xu
openalex   +3 more sources

Bridging neuromorphic computing and deep learning for next-generation neural data interpretation. [PDF]

Front Comput Neurosci
Zhang M, Wang T, Zhu Z.
europepmc   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source