Results 161 to 170 of about 2,065,553 (347)

Machine learning vs. classic statistics for the prediction of IVF outcomes

Journal of Assisted Reproduction and Genetics, 2020
Z. Barnett-Itzhaki, Miriam Elbaz, Rachely Butterman, Devora Amar, Moshe Amitay, C. Racowsky, R. Orvieto, R. Hauser, A. Baccarelli, R. Machtinger   +9 more
semanticscholar   +1 more source

Laser‐Induced Plasma Effects on Bond Breaking in High‐Density Polyethylene Pyrolysis

Advanced Materials Interfaces, EarlyView.
This study introduces a novel application of Laser‐Induced Breakdown Spectroscopy (LIBS) for bond breaking in high‐density polyethylene (HDPE), an area previously unexplored in laser‐plastic interactions. For the first time, a numerical model has been developed to differentiate between photon‐induced and laser field‐induced plasma, demonstrating the ...
Rao Adeel Un Nabi, Hassan Abbas Khawaja, Yaoxiang Liu, Chaopeng Yang, Rashid ul Haq, Tie‐Jun Wang   +5 more
wiley   +1 more source

Contributions to statistics and machine learning for physics-based attack detection in industrial systems

, 2021
Guillaume Ansel
openalex   +1 more source

How to Manufacture Photonic Metamaterials

Advanced Materials Technologies, EarlyView.
Metamaterials boast applications such as invisibility and “hyperlenses” with resolution beyond the diffraction limit, but these applications haven’t been exploited in earnest and the market for them hasn’t grown much likely because facile and economical methods for fabricating them without defect has not emerged.
Apurba Paul, Gregory Timp
wiley   +1 more source

Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning

Advanced Photonics Research, EarlyView.
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu, Yihang Di, Mengmeng Zhang, Zhenbo Ren, Jianglei Di, Jianlin Zhao   +5 more
wiley   +1 more source

Identifying Mild-to-Moderate Atopic Dermatitis Using a Generic Machine Learning Approach: A Danish National Health Register Study. [PDF]

Acta Derm Venereol
Liljendahl MS, Ibler K, Vestergaard C, Skov L, Jain P, Rudolfsen JH, Hærskjold A, Torpet M.   +7 more
europepmc   +1 more source

Optical Wireless Communications with Metasurfaces: Current Status and Potential for Intelligent Communications

Advanced Photonics Research, EarlyView.
Optical wireless communications (OWCs) provide a promising alternative to spectrum‐congested microwave wireless communications. Recently, the use of metasurfaces with sub‐wavelength features for dynamic beam steering, beam manipulation, and spatial or optical‐angular‐momentum mode generation, conversion, and multiplexing in OWCs is proposed and ...
Ke Wang, Chengwei Fang, Md Osman Ali, Xiaojun Chen, Safa Alghadi, Shuo Li, Jiayuan He, Sithamparanathan Kandeepan   +7 more
wiley   +1 more source

Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective. [PDF]

PLoS One
Naeem MR, Amin R, Farhan M, Alsubaei FS, Alsolami E, Zakaria MD.   +5 more
europepmc   +1 more source

Exploring Gelatin‐A and Mouse Proline‐Rich Protein 5 as Probes for Wine Polyphenol Analysis by Quartz Crystal Microbalance with Dissipation Monitoring

Advanced Sensor Research, EarlyView.
This study presents a novel strategy for the detection of polyphenols in wine. By combining Quartz Crystal Microbalance with Dissipation Monitoring and original functionalization strategies, Gelatin A from porcine skin and Mouse Proline‐Rich Protein 5, polyphenols are successfully detected directly in wine without any prior sample preparation ...
Giorgia Tori, Mariacristina Gagliardi, Francesco Lunardelli, Chiara Sanmartin, Isabella Taglieri, Gianmarco Alfieri, Margherita Modesti, Domenica Convertino, Andrea Bellincontro, Fabio Mencarelli, Marco Cecchini   +10 more
wiley   +1 more source

Modeling the Structure-Property Linkages Between the Microstructure and Thermodynamic Properties of Ceramic Particle-Reinforced Metal Matrix Composites Using a Materials Informatics Approach. [PDF]

Materials (Basel)
Xie R, Li G, Cao P, Tan Z, Wang J.
europepmc   +1 more source