Results 111 to 120 of about 248,906 (193)

Unveiling the non-linear synergistic effects of smoking and aging on cataract-AMD comorbidity: an explainable artificial intelligence approach. [PDF]

Front Public Health
Tang M, Liu Y, Dong L.
europepmc   +1 more source

Machine Learning-Based Prediction of Textural Properties and Nonlinear Regulatory Pattern Analysis of 3D-Printed Dough Containing Konjac Glucomannan. [PDF]

Foods
Leng W, Sun Y, Xie J, Pang J.
europepmc   +1 more source

Wastewater Membrane Bioreactors: A Comprehensive Review of Explainable Artificial Intelligence and Digital Twin Applications. [PDF]

Membranes (Basel)
Al-Rashed WS.
europepmc   +1 more source

Public health risk stratification using hybrid machine learning: a reproducible analysis of performance, stability, and risk attribution. [PDF]

Front Bioinform
Cabrera-Andrade A, Zambrano AK, García-Ortiz J, Villegas-Ch W.   +3 more
europepmc   +1 more source

Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems. [PDF]

Front Artif Intell
Nyangon J.
europepmc   +1 more source

Predictive variables for early detection of sepsis in adults admitted to intensive care units: protocol for a systematic review. [PDF]

BMJ Open
Keshavarz Z, Zand F, Asmarian N, Rafiee M, Sarabi RE.   +4 more
europepmc   +1 more source

Systematic proteomics reveals plasma NEFL as a robust predictor and pathological associate in <i>C9ORF72</i>-related neurodegeneration. [PDF]

Front Aging Neurosci
Hu Z, Wan JJ, Yan QQ, Fan Y, Liu J.
europepmc   +1 more source

Dynamic Association Between Health Literacy and Fear of Progression Among Nasopharyngeal Cancer Survivors During the Post‑treatment Survivorship Period: A Multicenter Exploratory Longitudinal Study. [PDF]

Patient Prefer Adherence
Lin QM, Zhang BJ, Qiu XM, Chen AY, Zhang QY, Lin BH.   +5 more
europepmc   +1 more source

Near-Infrared Spectroscopy in Food Analysis: Applications, Chemometric Strategies, and Technological Advances. [PDF]

Foods
Dai L, Luo D, Zhang J, Chen Y, Li C.
europepmc   +1 more source

Peningkatan Presisi Sistem Kendali Rudal dengan Mengintegrasikan Circular Error Probability dan Non-Linear Model Predictive Control

Rudal adalah senjata militer yang membutuhkan presisi tinggi. Presisi rudal dipengaruhi oleh sistem kendali yang diterapkan. Penelitian ini bertujuan untuk meningkatkan presisi rudal melalui pengembangan sistem kendali Nonlinear Model Predictive Control (
Kapa, Mujiibur Rahman
core