Results 231 to 240 of about 848,733 (323)

Enhancing pedagogical practices with Artificial Neural Networks in the age of AI to engage the next generation in Biomathematics. [PDF]

Bull Math Biol
Morales-Morales J, Ogueda-Oliva A, Caiseda C, Seshaiyer P.   +3 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Comparative analysis of classical growth models and artificial neural networks in predicting egg production parameters in three commercial broiler parent stocks. [PDF]

Poult Sci
Moradi Gharajeh Z, Darmani Kuhi H, Ghavi Hossein-Zadeh N.   +2 more
europepmc   +1 more source

Engineered Microfluidic Organoid Systems: New Paradigms for Menopause Mechanism Research and Personalized Medicine

Advanced Materials Technologies, EarlyView.
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang, He Huang, Hongliang Dong, Qiang Ma, Hongyan Jin   +4 more
wiley   +1 more source

Predictive modeling of coagulant dosing in drilling wastewater treatment using artificial neural networks. [PDF]

Sci Rep
Kalhormohammadi M, Khoramipour S.
europepmc   +1 more source

Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley   +1 more source

Different artificial neural networks for predicting burnout risk in Italian anesthesiologists. [PDF]

J Anesth Analg Crit Care
Cascella M, Simonini A, Coluccia S, Bignami EG, Fiore G, Petrucci E, Vergallo A, Sollecchia G, Marinangeli F, Pedone R, Vittori A.   +10 more
europepmc   +1 more source

Prediction of roadheaders' performance using artificial neural network approaches (MLP and KOSFM)

, 2015
Arash Ebrahimabadi, Mohammad Azimipour, Ali Bahreini   +2 more
openalex   +1 more source

A Multi‐Resonant Tunable Fabry‐Pérot Cavity for High Throughput Spectral Imaging

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
This study introduces a multi‐resonant tunable Fabry‐Pérot filter for high throughput spectral imaging. With a spectral resolution of 10 nm and a switching time of 23 ms, this compact and low‐cost device possesses better spectral imaging accuracy in poor light conditions while maintaining over six times higher optical throughput than standard liquid ...
Xiao Wu, Zijian Lin, Shige Tang, Xiao Chen, Tingbiao Guo, Sailing He   +5 more
wiley   +1 more source

Artificial Neural Networks Fitting of Potential Energy Curves and Surfaces: The 1/R Conundrum. [PDF]

J Comput Chem
Rana S, Sankar Manoj U, Lourderaj U, Sathyamurthy N.   +3 more
europepmc   +1 more source