Results 111 to 120 of about 35,765 (187)

A Smartphone and Web‐Based Automated Platform for Segmenting Urinary Tract Infection Using a Deep Learning‐Based Approach

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
This study presents a deep learning–powered urinary sediment analysis system designed to operate on both web and mobile platforms. At its core is a UNet++ multi‐class segmentation model trained to identify various sediment types, including background, rod, red blood cells, white blood cells, yeast, miscellaneous, single epithelial cell, small ...
Justice Williams Asare   +7 more
wiley   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

open access: yesInternational 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   +2 more
wiley   +1 more source

Relativistic bound states within Basis Light-Front Quantization

open access: yes, 2021
We investigate the relativistic bound states in the non-perturbative regime with the light-front Hamiltonian formalism. Our studies focus on two systems, the relativistic Yukawa model and the light unflavored mesons. We apply the light-front Hamiltonian approach to the two-fermion bound state in the (3+1)-dimensional Yukawa model.
openaire   +3 more sources

Light-Front Quantization and Spontaneous Symmetry Breaking

open access: yes, 1994
5 pages, Tex. Published in the Proceedings of the WORKSHOP ON HADRON PHYSICS, HADRONS94, Gramado, RS, Brasil, World Scientific, Singapore, 1994.
openaire   +2 more sources

Electron form factors in Basis Light-front Quantization

open access: yes
In this paper, we evaluate the electromagnetic and gravitational form factors as well as the corresponding generalized parton distributions of the electron using the Basis Light-front Quantization approach to QED. We compare our results with those from light-front perturbation theory. We adopt a novel basis with its scale depending on the constituents'
Meng, Lingdi   +6 more
openaire   +2 more sources

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