Št. zadetkov: 9
Izvirni znanstveni članek
Oznake:
taksonomija;elektroenergetska omrežja;pametna omrežja;taxonomy;power grids;digital twin;co-occurrence analysis;
Digital twins (DTs) are increasingly adopted in the energy sector, yet existing conceptual frameworks and maturity models remain largely generic, limiting their usefulness for power grid applications with stringent requirements for resilience, security, and lifecycle integration. This paper proposes ...
Leto:
2026
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
older professionals;highly skilled professionals;
Background: Artificial intelligence is rapidly disrupting high-level cognitive and analytical labour. Yet, while emerging macroeconomic analyses increasingly map AI exposure across broad demographic boundaries, there is a scarcity of qualitative research exploring how these shifts are experienced by ...
Leto:
2026
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
digitalni dvojček;elektroenergetska omrežja;pametna omrežja;kriptografija;smart grid;power grids;digital twin;cryptography;
Smart grids increasingly depend on tightly coupled Supervisory Control and Data Acquisition (SCADA) and Advanced Metering Infrastructure (AMI) infrastructures to enable real-time monitoring, control, and data-driven energy management. Yet, the growing connectivity of 5G/6G-enabled systems expands th ...
Leto:
2026
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
igra INFINITY;igra DiGiUP;učenje skozi igro;game-based learning;DiGiUP game;INFINITY game;
The digital divide remains a persistent challenge for older adults, who often face structural, cognitive, and motivational barriers to effective participation in digital environments. This study presents and empirically evaluates a blended game-based assessment (GBA) and game-based learning (GBL) ap ...
Leto:
2026
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
spletna varnost;upravljanje incidentov;cybersecurity;incident management;document analysis;academia-industry alignment;
The integration of Artificial Intelligence (AI) into cybersecurity incident management has gained momentum amid rising threats and increasing operational complexity. While academic research has been widely analysed and found to predominantly address detection tasks and algorithmic performance, the i ...
Leto:
2026
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
mobile android security;knowledge graphs embeddings;machine learning;
The rising popularity and open-source model of the Android operating system has made it a main target for attackers creating malware applications. With the mobile industry being an expanding device ecosystem, there is a critical need for developing effective methods to protect against mobile malware ...
Leto:
2025
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
inteligentni transportni sistemi;interoperabilnost;varnost sistemov;vodenje sistemov;intelligent transport systems;interoperability;governance;security by design;Cooperative Intelligent Transport Systems;standard lock-in;
Cooperative Intelligent Transport Systems (C-ITS) involve a complex network of diverse components that communicate with each other and with their environment. These systems are essential for improving transport efficiency, enabling smoother movement of people and goods, and supporting economic growt ...
Leto:
2025
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
Brain tumors are among the most life-threatening diseases, where early detection and accurate classification are critical for effective diagnosis and treatment planning. Although deep learning-based computer-aided diagnosis systems have shown remarkable progress, conventional convolutional neural ne ...
Leto:
2026
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
federated learning;decentralized learning;incentive mechanisms;knowledge distillation;
The growing volume of data from smart devices offers significant potential for machine learning, yet privacy concerns hinder centralized use. Federated Learning (FL) has emerged as a promising decentralized learning (DL) approach enabling the use of distributed data without compromising privacy. How ...
Leto:
2026
Vir:
Institut Jožef Stefan (IJS)