Article: Optimisation of visual communication design methods based on scalable machine learning Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.3 pp.140 - 154 Abstract: As artificial intelligence and machine learning technologies advance, design process optimisation - especially in visual communication - is growingly vital. This work presents scalable machine learning for optimisation of visual communication design. The proposed approach enhances design efficiency and creativity by means of flexible and adaptable learning models and machine learning - mostly photo recognition technologies. We construct a scalable machine learning system using photo recognition to find design elements and use extensive assessment criteria to analyse produced designs. By means of thorough testing, the proposed solution surpasses conventional design optimisation strategies in accuracy, efficiency, and flexibility. The model gains over time and fits really nicely to design challenges. This work presents a scalable, flexible approach to visual communication design that can revolutionise practical applications inside artificial intelligence-driven design as well as creative sectors. Inderscience Publishers - linking academia, business and industry through research

Title: Optimisation of visual communication design methods based on scalable machine learning

Authors: Jingyuan Yu

Addresses: College of Art, Taishan University, Tai'an, 271000, China

Abstract: As artificial intelligence and machine learning technologies advance, design process optimisation - especially in visual communication - is growingly vital. This work presents scalable machine learning for optimisation of visual communication design. The proposed approach enhances design efficiency and creativity by means of flexible and adaptable learning models and machine learning - mostly photo recognition technologies. We construct a scalable machine learning system using photo recognition to find design elements and use extensive assessment criteria to analyse produced designs. By means of thorough testing, the proposed solution surpasses conventional design optimisation strategies in accuracy, efficiency, and flexibility. The model gains over time and fits really nicely to design challenges. This work presents a scalable, flexible approach to visual communication design that can revolutionise practical applications inside artificial intelligence-driven design as well as creative sectors.

Keywords: visual communication design; scalable machine learning; image recognition; design optimisation.

DOI: 10.1504/IJICT.2025.144464

International Journal of Information and Communication Technology, 2025 Vol.26 No.3, pp.140 - 154

Received: 09 Dec 2024
Accepted: 18 Dec 2024
Published online: 13 Feb 2025 *

Title: Optimisation of visual communication design methods based on scalable machine learning

Keep up-to-date