Results 161 to 170 of about 28,950,866 (246)

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

On relative simple Heffter spaces. [PDF]

J Algebr Comb (Dordr)
Johnson L, Mella L, Pasotti A.
europepmc   +1 more source

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

AI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez, Daniela Sánchez, Patricia Melin   +2 more
wiley   +1 more source

In Vitro liposome release profile prediction using explainable machine learning approaches. [PDF]

PLoS One
Owida HA, Ahmad Hasan S, Arabiat A, Abuowaida S.   +3 more
europepmc   +1 more source

Accounting for animal health in efficiency analysis: An application to Swedish dairy farms

American Journal of Agricultural Economics, EarlyView.
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang, Enoch Owusu‐Sekyere, Karin Alvåsen, Helena Hansson   +3 more
wiley   +1 more source

A high-resolution beach imagery dataset with COCO annotations for deep learning-based <i>Sargassum</i> monitoring in coastal environments. [PDF]

Data Brief
Arellano-Verdejo J, Lazcano-Hernandez HE, Trejo-Morales A, Romero MS.   +3 more
europepmc   +1 more source

Zebrafish xenograft models as a fast platform for metastasis diagnosis and cisplatin response of head and neck squamous cell carcinoma

Animal Models and Experimental Medicine, EarlyView.
A zebrafish xenograft model accurately distinguishes metastatic from non‐metastatic HNSCC and recapitulates cisplatin sensitivity/resistance patterns. Using patient‐derived tumors, it predicts individual therapeutic responses, offering a rapid, clinically applicable platform for guiding personalized treatment. Abstract Background Head and neck squamous
Lu Chen, Shu Sun, Yujia Liu, Liehao Jiang, Cuiyun Wu, Ting Liu, Yujiao Zhao, Yuwei Liu, Lu Liu, Qi Wang, Xiaowei Zheng, Ping Huang   +11 more
wiley   +1 more source

A Fractional-Derivative Multi-Kernel Adaptive Learning Approach for Remaining Useful Life Prediction of Rotating Machinery. [PDF]

Sensors (Basel)
Pan L, Xu J, Peng L, Bi D, Xie Y.
europepmc   +1 more source

Low‐Pressure CO2 and Aromatic Recognition by Interlayer Adaptive Crystal of π‐Hole‐Functionalized Zn(II) Coordination Sheets

Angewandte Chemie International Edition, EarlyView.
A perfluorinated Zn(II) coordination sheet operates as an interlayer adaptive crystal (LAC), where a small ultramicropore acts as an electrostatic trigger. Guest‐induced breathing driven by fluorinated π‐hole surfaces enables highly selective inclusion of CO2 over N2 and CH4, and benzene over other six‐membered hydrocarbons, beyond the intrinsic ...
Masahiro Abe, Tomoki Jitsukata, Shinpei Kusaka, Ryotaro Matsuda, Mikihiro Nomura, Akiko Hori   +5 more
wiley   +1 more source

Fixed-point topology meets fractal memory: a Kutumba-stabilized framework for nonlocal fractal-fractional dynamics. [PDF]

Sci Rep
Devi RA, Surendar R, Sweatha S, Saeed ST, Almehizia AA, Saleh MA, Merga FE.   +6 more
europepmc   +1 more source