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Using machine learning for multiprocessor real-time systems scheduling analysis

Year: 2024

Type: article

Abstract: Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Source: International Journal of Electronic Security and Digital Forensics

DOI: 10.1504/ijesdf.2026.10068575

Authors: Walid Karamti, Lubna Sawaf

Language: English

Topic: Real-Time Systems Scheduling

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4405679268

FWCI:

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