Results 91 to 100 of about 25,547 (250)

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +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

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Recent Advancements in Topic Modeling Techniques for Healthcare, Bioinformatics, and Other Potential Applications

Advanced Intelligent Systems, EarlyView.
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari, Sachin Kadian, Mukund Vora, Pradyumna Vemuri, Sumit Kumar, Om Prakash Verma, Roger J. Narayan   +6 more
wiley   +1 more source

Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities

Advanced Intelligent Systems, EarlyView.
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar, Michał Kosiedowski, Arkadiusz Radziuk, Erik Dovgan, Torsten Hammann, Meike Engelhardt, Christin Kupitz, Carmen Campomanes‐Alvarez, Dorota Janczewska, Peter Zentel, Mitja Luštrek   +10 more
wiley   +1 more source

Enumeration of the Multiplicative Degree-Kirchhoff Index in the Random Polygonal Chains. [PDF]

Molecules, 2022
Zhu W, Geng X.
europepmc   +1 more source

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

Advanced Intelligent Systems, EarlyView.
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam   +3 more
wiley   +1 more source

Development of Antifreezing High‐Efficiency Dust Suppressant for Railway Coal Transportation

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In the process of railway coal transportation, a large amount of coal dust is dispersed, causing serious economic loss and environmental pollution. In order to improve the low‐temperature dust suppression performance, the present study has developed an antifreeze‐type, high‐efficiency railway coal transportation dust suppressant (hereinafter ...
Yuxing Huo, Fan Gao, Liuhang Hao, Na Xu, Xin Li, Shujun Yan, Penglong Li, Hong Xu   +7 more
wiley   +1 more source

ANN‐Enabled Analysis of Nanoparticle Aggregation and Hall Effects on Ag‐H2O Nanofluid Flow Over a Spinning Disk With Convective Heating and Thermal Radiation

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The exceptional characteristics of nanofluids have turned out to be a significant development in revolutionizing heat transfer mechanisms in several electronic cooling devices and industrial manufacturing processes. The present study deals with the investigation of the second law of thermodynamics applied to the steady MHD fluid flow above a ...
Dixita Sonowal, Bidyasagar Kumbhakar
wiley   +1 more source