Results 131 to 140 of about 801,900 (223)

Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach. [PDF]

PLoS One
Das N, Hossain MB, Adhikary A, Raha AD, Qiao Y, Hassan MM, Bairagi AK.   +6 more
europepmc   +1 more source

Recent Advances in Single‐Atom Catalyst for Solar Energy Conversion: A Comprehensive Review and Future Outlook

Advanced Functional Materials, EarlyView.
This review highlights the potential of single‐atom catalysts in three key photocatalytic reactions: the hydrogen evolution reaction (HER), nitrogen reduction reaction for ammonia synthesis, and carbon dioxide reduction reaction (CO2RR) for chemical fuels.
Saad Mehmood, Saddam Sk, B. Moses Abraham, Mohsen Ahmadipour, Ujjwal Pal, Joydeep Dutta   +5 more
wiley   +1 more source

A methodological systematic review of validation and performance of sepsis real-time prediction models. [PDF]

NPJ Digit Med
Wang Z, Wang W, Sun C, Li J, Xie S, Xu J, Zou K, Jin Y, Yan S, Liao X, Kang Y, Coopersmith CM, Sun X.   +12 more
europepmc   +1 more source

Electroplating of Wear‐ and Corrosion‐Resistant CrCoNi Medium‐Entropy Alloys beyond Hard Chromium Coatings

Advanced Functional Materials, EarlyView.
The electroplating of a CrCoNi medium‐entropy alloy is achieved using a mixture of an ionic liquid and an aqueous solution containing metal salts. The CrCoNi medium‐entropy alloy thin film exhibits high wear and corrosion resistance superior to conventional hard chromium coatings. Abstract High‐entropy alloys (HEAs) and medium‐entropy alloys (MEAs) are
Yuki Murakami, Shuhei Yoshida, Kosuke Ishii, Naoya Nishi, Akiyuki Ryoki, Nobuhiro Tsuji, Kuniaki Murase, Kazuhiro Fukami   +7 more
wiley   +1 more source

The potential of evaluating shape drawing using machine learning for predicting high autistic traits. [PDF]

PLoS One
Ohmoto Y, Terada K, Shimizu H, Imamura A, Iwanaga R, Kumazaki H.   +5 more
europepmc   +1 more source

Exploring the Efficacy of Machine Learning Tools for Analyzing Student Performance in Computer Science Applications

Tilak Raj Rohilla Kirti
openalex   +2 more sources

Ultra‐Fast Non‐Volatile Resistive Switching Devices with Over 512 Distinct and Stable Levels for Memory and Neuromorphic Computing

Advanced Functional Materials, EarlyView.
A materials and device design concept that comprises a self‐assembled ultra‐thin epitaxial ion‐transporting layer, an amorphous oxide overcoat oxygen‐blocking layer, and a partial filament formed during an electroforming step is proposed for low‐current multilevel resistive switching devices.
Ming Xiao, Markus Hellenbrand, Nives Strkalj, Babak Bakhit, Zhuotong Sun, Nikolaos Barmpatsalos, Dovydas Joksas, Hongyi Dou, Zedong Hu, Ping Lu, Samip Karki, Sundar Kunwar, Jonathan D. Major, Aiping Chen, Haiyan Wang, Quanxi Jia, Adnan Mehonic, Judith L. MacManus‐Driscoll   +17 more
wiley   +1 more source

Application of machine learning in dentistry: insights, prospects and challenges. [PDF]

Acta Odontol Scand
Wang L, Xu Y, Wang W, Lu Y.
europepmc   +1 more source

Unlocking Machine Learning Algorithms for Bambooshoots.AI: Revolutionizing Agricultural Applications with Computer Science

Charlot L. Maramag Thelma D. Palaoag
openalex   +2 more sources

Advances in Radiative Heat Transfer: Bridging Far‐Field Fundamentals and Emerging Near‐Field Innovations

Advanced Functional Materials, EarlyView.
This review synthesizes the evolution of radiative heat transfer, emphasizing the transition from far‐field to near‐field regimes. Traditional frameworks, such as Planck's law, are revisited alongside modern innovations like fluctuational electrodynamics. Applications span nanoscale thermal management, energy harvesting, and thermophotovoltaic systems.
Ambali Alade Odebowale, Andergachew Berhe, Rasheed T. Ogundare, Salah Abdo, Amer Abdulghani, Haroldo T. Hattori, Andrey E. Miroshnichenko   +6 more
wiley   +1 more source