Results 261 to 270 of about 2,469,178 (365)

Optical Nanoscopy for Elucidating Nano–Bio Interactions: A One Health Perspective

Advanced Optical Materials, EarlyView.
The review comprehensively summarizes the application of far‐field fluorescence nanoscopy for the characterization of nanomaterial interactions with biological systems at the single‐particle and molecular scale, with an accent on their impact on human and ecosystem health.
Elisa De Luca, Chiara Coricciati, Marcella Trombetta, Giuseppe Gigli, Pamela Mozetic, Alberto Rainer   +5 more
wiley   +1 more source

Optimisation of Clutch Disc Friction Material Using a Multi-Layer Perceptron Artificial Neural Network. [PDF]

Polymers (Basel)
Bălășoiu G, Munteniță C, Amortila VT, Titire L.   +3 more
europepmc   +1 more source

Chemical AI in the Limelight: The Contribution of Photochromic Materials and Oscillatory Chemical Reactions

Advanced Optical Materials, EarlyView.
Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley   +1 more source

PREDICTION OF PEAK HORIZONTAL ACCELERATION USING AN ARTIFICIAL NEURAL NETWORK MODEL

, 1996
Somayeh Emami, Takanori Harada, Y. Iwao
openalex   +2 more sources

Artificial neural network controlled DSTATCOM for mitigating power quality concerns in solar PV and wind system. [PDF]

Sci Rep
Irfan MM, Alharbi M, Basha CHH.
europepmc   +1 more source

Exploring the Role of Artificial Intelligence in Precision Photonics: A Case Study on Deep Neural Network‐Based fs Laser Pulsed Parameter Estimation for MoOx Formation

Advanced Photonics Research, EarlyView.
Ultrafast pulsed laser technology enables precise material processing. This study examines molybdenum oxide formation under varying laser parameters. A dataset of 187 samples is generated, and eight deep neural networks (DNNs) with different architectures are trained. Models are validated using three learning rates and evaluated with mean squared error,
Jose R. Paredes‐Miguel, Miroslava Cano‐Lara, Andres A. Garcia‐Granada, Andres Espinal, Marcos J. Villaseñor‐Aguilar, Leonardo Martinez‐Jimenez, Horacio Rostro‐Gonzalez   +6 more
wiley   +1 more source

A Comparative Analysis and Prediction of Traffic Accident Causalities in the Sultanate of Oman using Artificial Neural Networks and Statistical methods

, 1998
Galal A. Ali, Saleh M. Al-Alawi, Charles S. Bakheit   +2 more
openalex   +2 more sources

Extract optimization and biological activities of Otidea onotica using Artificial Neural Network-Genetic Algorithm and response surface methodology techniques. [PDF]

BMC Biotechnol
Sevindik M, Bal C, Krupodorova T, Gürgen A, Eraslan EC.   +4 more
europepmc   +1 more source

High‐Fidelity Information Transmission Through the Turbulent Atmosphere Utilizing Partially Coherent Cylindrical Vector Beams

Advanced Photonics Research, EarlyView.
A novel free‐space optical communication protocol that combines the benefits of partially coherent light sources with the decoding capabilities of convolutional neural networks is proposed. This approach establishes a robust communication link that can withstand atmospheric turbulence.
Linxuan Yao, Hui Zhang, Yangsheng Yuan, Yaru Gao, Chunhao Liang, Sergey A. Ponomarenko, Yangjian Cai   +6 more
wiley   +1 more source

A Hybrid Artificial Neural Network Approach for Modeling the Behavior of Polyethylene Terephthalate (PET) Under Conditions Applicable to Stretch Blow Molding. [PDF]

Polymers (Basel)
Teng F, Menary G, Yan S, Nixon J, Stevens JB.   +4 more
europepmc   +1 more source