Results 111 to 120 of about 8,736,022 (255)

Estimating aman and aus rice area in Bangladesh using sentinel-1 imagery and machine learning algorithms. [PDF]

PLoS One
Rahman HMH, Mahmud H, Hasan MM, Hussain SG.   +3 more
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Explainable Stacked Ensemble Learning for Predicting Antibiotic Residues in the Danube River Within the Territory of the City of Novi Sad, Serbia. [PDF]

Antibiotics (Basel)
Kekić D, Jovićević M, Šovljanski O, Tomić A, Pezo L, Mirković N, Novaković R, Vićić I, Bajčetić N, Tolić Stojadinović L, Grujić S, Mirković M, Karabasil N, Opavski N, Gajić I.   +14 more
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Bayesian Leave-One-Out Cross-Validation for Large Data

, 2019
Model inference, such as model comparison, model checking, and model selection, is an important part of model development. Leave-one-out cross-validation (LOO-CV) is a general approach for assessing the generalizability of a model, but unfortunately, LOO-
Magnusson, Mans, Andersen, Michael Riis, Andersen, Michael, Jonasson, Johan, Vehtari, Aki   +4 more
core  

Comparative evaluation of LDL-cholesterol estimation using machine learning algorithms and conventional equations in a large middle eastern cohort. [PDF]

Clinics (Sao Paulo)
Ahmed FS, Ahmad MI, Begum M, Rao D, Joan S.   +4 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Characterizing and learning equivalence classes of causal DAGs under interventions

, 2018
Yang, Karren D. et al. "Characterizing and learning equivalence classes of causal DAGs under interventions." Proceedings of the 35th International Conference on Machine Learning, July 2018, Stockholm, Sweden, Proceedings of Machine Learning Research ...
Uhler, Caroline, Yang, Karren Dai, Katcoff, Abigail   +2 more
core  

Comparative analysis of machine learning techniques for cardiovascular disease prediction. [PDF]

PLoS One
Uddin MM, Binyamin M, Fahim MMM, Karim MR.   +3 more
europepmc   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source