Results 211 to 220 of about 212,322 (298)

Shallow Learning Techniques for Early Detection and Classification of Cyberattacks over MQTT IoT Networks. [PDF]

Sensors (Basel)
Díaz-Longueira A, Aveleira-Mata J, Michelena Á, Piñón-Pazos AJ, Fontenla-Romero Ó, Calvo-Rolle JL.   +5 more
europepmc   +1 more source

The Asymptotic Behavior of Bayes' Estimators

The Annals of Mathematical Statistics, 1970
openaire   +3 more sources

Quantifying Consumer Tradeoffs Across Firm‐Level Strategic Positioning Dimensions: Evidence from US Craft Beer Consumers

Agribusiness, EarlyView.
ABSTRACT Strategic positioning becomes increasingly important as markets mature, particularly in consumer‐facing industries that offer similar products, experiential cues, and values‐based messages. This study offers a conceptual model to examine the strategic positioning factors that motivate consumers to visit one local business over another before ...
Aaron J. Staples, Trey Malone, J. Robert Sirrine   +2 more
wiley   +1 more source

Comparing Bayesian estimation and structural-after-measurement approaches for structural equation models with latent interactions and complex data structures. [PDF]

Behav Res Methods
Cox K, Kelcey B.
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

A novel extension of the exponential distribution with application in modeling complex lifetime and environmental data. [PDF]

Sci Rep
Aljohani HM, Zaghdoun FM, Meraou MA, Alharthi AS, Almohri WAJ, Kalantan ZI, El-Helbawy AA, Hussam E, Muse AH.   +8 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Clarifying the scope and capabilities of ROTS in differential expression analysis. [PDF]

Bioinformatics
Suomi T, Kettunen J, Pusa T, Elo LL.
europepmc   +1 more source

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

Advanced Intelligent Discovery, EarlyView.
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung, Seongmin Kim, Jaehyun Park, Chaeyoung Park, Zhihao Xu, Sanghyo Hwang, Baiqing Ye, Youn sang Kim, Sun‐Kyung Kim, Tengfei Luo, Eungkyu Lee   +10 more
wiley   +1 more source