Št. zadetkov: 19
Izvirni znanstveni članek
Oznake:
prevoz tovora;kontejnerski transport;napovedovanje transportnih zahtev;razporejanje;umetna inteligenca;strojno učenje;intermodalni transport;freight demand forecasting;container transportation demand forecasting;vertical federated learning;privacy-preserving methods;sample and feature selection;machine learning;homomorphic encryption;resource allocation and scheduling;
In response to the growing demand for accurate freight forecasting in sea-rail intermodal transportation, particularly under the constraints of stringent data protection regulations, we introduce a privacy-preserving, AI-based framework that focuses on the micro-level identification of container tra ...
Leto:
2025
Vir:
Digitalna knjižnica Univerze v Mariboru (DKUM)
Video in druga učna gradiva
Oznake:
computer science;machine learning
In this paper, we develop a new entropic matching kernel for weighted graphs by aligning depth-based representations. We demonstrate that this kernel can be seen as an \textbf{aligned subtree kernel} that incorporates explicit subtree correspondences, and thus addresses the drawback of neglecting th ...
Leto:
2015
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
data science;computer science
A common problem with spatiotemporal data is how to simplify the data to discover an underlying network that consists of cohesive spatial regions (nodes) and relationships between those regions (edges). This network discovery problem naturally exists in a multitude of domains including climate data ...
Leto:
2017
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
humanistic Buddhism;Thailand;government role;social harmony;modern challenges;
Humanistic Buddhism usually implements Buddhist ideas every day to ad-vance social harmony and personal satisfaction. With an emphasis on three main aspects—individual, universal, and transcendental—and six of its features, this paper investigates the beliefs and practices, local support, and obstac ...
Leto:
2025
Vir:
Repozitorij Univerze na Primorskem (RUP)
Izvirni znanstveni članek
Oznake:
Kirchhoff-Schrödinger-Poisson systems;Heisenberg groups;p-Laplacian operators;critical growth;concentration-compactness principle;
In this article, we investigate the Kirchhoff-Schrödinger-Poisson type systems on the Heisenberg group of the following form: ▫$\begin{cases} {-(a+b\int_{\Omega}|\nabla_{H} u|^{p}d\xi)\Delta_{H, p}u-\mu\phi |u|^{p-2}u} = \lambda |u|^{q-2}u+|u|^{Q^{\ast}-2}u & \mbox{in}\ \Omega, \\ -\Delta_{H}\phi = ...
Leto:
2023
Vir:
Pedagoška fakulteta (UL PEF)
Izvirni znanstveni članek
Oznake:
fractional concentration-compactness principle;Krasnoselskii genus;Kirchhoff-Choquard type equations;Heisenberg group;
In this paper, we study existence and multiplicity of solutions for the following Kirchhoff-Choquard type equation involving the fractional ▫$p$▫-Laplacian on the Heisenberg group: ▫$M(\|u\|_\mu^{p})(\mu(-\Delta)^{s}_{p}u+V(\xi)|u|^{p-2}u)= f(\xi,u)+\int_{\mathbb{H}^N}\frac{|u(\eta)|^{Q_\lambda^{\as ...
Leto:
2024
Vir:
Pedagoška fakulteta (UL PEF)
Izvirni znanstveni članek
Oznake:
convolutional neural network;reinforced concrete;damage detection;image recognition;structural health monitoring;deep learning;
Identification of the damage types for reinforced concrete using CNN models
Leto:
2025
Vir:
Inštitut za kovinske materiale in tehnologije (IMT)
Izvirni znanstveni članek
Oznake:
cemented soil;compressive strength;corrosion mechanism;sulfate;pollution;solution;
In order to simulate and study the corrosion effects on the compressive strength of cemented soils that could be exposed in a polluted environment, a series of tests were conducted on cemented soil blocks cured with different concentrations of H2SO4, MgSO4, and Na2SO4 solutions. The test results sho ...
Leto:
2015
Vir:
Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo (UM FGPA)
Izvirni znanstveni članek
Oznake:
load;wear mechanism;oxide;diagram;
Effect of diffrent loads on the wear behaviors of 5Cr5Mo2V steel at 700 °C
Leto:
2021
Vir:
Inštitut za kovinske materiale in tehnologije (IMT)
Izvirni znanstveni članek
Oznake:
sediment transport;machine learning;climate change;hydrological modelling;
Sediment transport, an important element of the erosion‒sedimentation cycle, can be very high during extreme flood events and can cause hydromorphological changes within river networks. Therefore, improved sediment transport predictions are needed to establish sediment management at the catchment sc ...
Leto:
2025
Vir:
Fakulteta za gradbeništvo in geodezijo (UL FGG)