Results 121 to 130 of about 160,416 (217)

Enhancing wind and solar energy forecasting through time-series feature engineering and ensemble machine learning. [PDF]

Sci Rep
Elmunim NA, Khlifi MA, Aldawsari MA, Algarni F, Albalawi A, Ismail A, Hassan BM.   +6 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Identification of Prognostic Clinical Features in Grade 4 Immune-Related Adverse Events: A Triangulation Study. [PDF]

Immunotargets Ther
Wu Y, Chen J, Tian S, Lin Z, Li Y, Wang C, Lu Q, Lu L, Zhao Y.   +8 more
europepmc   +1 more source

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

Advanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott, Georgeos Hardo, Ruizhe Li, Jack Bradley, Ashraf Zarkan, Somenath Bakshi   +5 more
wiley   +1 more source

Information Theory, Statistics, and Machine Learning. Statistical Model Selection and machine Learning.

Journal of The Society of Instrument and Control Engineers, 1999
openaire   +1 more source

Human‐Centered Innovation: Precision Nutrition and the Future of Food

Advanced Science, EarlyView.
ABSTRACT Nutritional science is moving beyond one‐size‐fits‐all recommendations toward more precise and personalized approaches, yet its implementation pathway remains unclear. This paper proposes a human‐centered precision nutrition framework that highlights the central roles of artificial intelligence (AI), food innovation, and human agency.
Shanshan Zhang, Yonggan Sun, Jiaqi Jiang, Shaoping Nie   +3 more
wiley   +1 more source

Machine Learning and SHAP Value Interpretation for Predicting Hepatic Steatosis Using Vibration-Controlled Transient Elastography. [PDF]

Int J Endocrinol
Lu Z, He C, Wang M, He W, Wang S, Xie Y, Pan X.   +6 more
europepmc   +1 more source

Information Theory, Statistics, and Machine Learning. Information Theory, Statistics, and Machine Learning.

Journal of The Society of Instrument and Control Engineers, 1999
openaire   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source