Results 141 to 150 of about 95,777 (258)

Lightweight CNN for accurate brain tumor detection from MRI with limited training data. [PDF]

Front Med (Lausanne)
Naeem AB, Osman O, Alsubai S, Cevik T, Zaidi A, Rasheed J.   +5 more
europepmc   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta   +2 more
wiley   +1 more source

Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review. [PDF]

BMC Med Imaging
Laçi H, Sevrani K, Iqbal S.
europepmc   +1 more source

Stock Portfolio Management Based on AI Technology

Journal of Forecasting, Volume 45, Issue 2, Page 458-469, March 2026.
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso, Joaquín Ordieres‐Meré   +1 more
wiley   +1 more source

AI-powered mental health application with data privacy preservation. [PDF]

MethodsX
Bagane P, Dahiya A, Kacheria S, Sehgal A, Bajpai S, Jebessa OA.   +5 more
europepmc   +1 more source

Versatile and Highly Efficient MRI Simulation of Arbitrary Motion in KomaMRI

Magnetic Resonance in Medicine, Volume 95, Issue 3, Page 1791-1803, March 2026.
ABSTRACT Purpose To extend the KomaMRI simulator with motion capabilities that enable the simulation of both simple, parametrizable motion patterns and arbitrarily complex spin trajectories. Additionally, we introduce a novel file format for storing and sharing dynamic digital phantoms.
Pablo Villacorta‐Aylagas, Carlos Andrés Castillo‐Passi, Ryan Anders Kierulf, Rosa María Menchón‐Lara, Justino R. Rodríguez‐Galván, José Benito Sierra‐Pallares, Pablo Irarrazaval, Carlos Alberola‐López   +7 more
wiley   +1 more source

A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models

Stat, Volume 15, Issue 1, March 2026.
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes, Ting Fung Ma, Ian McGahan, Daniel Walsh, Jun Zhu   +4 more
wiley   +1 more source

Global attention and local features using deep perceptron ensemble with vision Transformers for landscape design detection. [PDF]

Sci Rep
Guodong S, Huiyu W.
europepmc   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool, Giorgio Delzanno, Hamid Saadatfar, Aakash Ahmad, Rainer Koschke, Roohallah Alizadehsani, U. Rajendra Acharya, Daniele D'Agostino   +7 more
wiley   +1 more source

A comparative review of deep and spiking neural networks for edge AI neuromorphic circuits. [PDF]

Front Neurosci
M Ferreira P, Wang S, Gao Y, Benlarbi-Delai A.   +3 more
europepmc   +1 more source