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From ideation to execution: Unleashing the power of generative AI in modern digital marketing and customer engagement- A systematic literature review and case study

Sayeed Salih, Omayma Husain, Refan Mohamed Almohamedh, Hayfaa tajelsier et al. • Array (2026)

Generative Artificial Intelligence (GAI) is revolutionizing digital marketing by auto-content creation, personalized customer experience, and data-driven decisions. This study conducts a systematic literature review and case study analysis ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.array.2025.100630

Uncovering Psychographic Segments in Indonesia’s Modest-Fashion Market Using VALS and K‑Means Clustering

Diva Putri Pradani, Yati Rohayati, Tiara Verita Yastica • Indonesian Journal of Business and Entrepreneurship (2026)

Background: The Muslim fashion industry in Indonesia continues to expand rapidly, reflecting the dynamic intersection between cultural values and global-style trends. However, many small and medium-sized enterprises (SMEs) still rely on con...

DOAJ Open Access (DOAJ) DOI: 10.17358/ijbe.12.1.125

Guidelines for information about therapy experiments: a proposal on best practice for recording experimental data on cancer therapy

González-Beltrán Alejandra N, Yong May Y, Dancey Gairin, Begent Richard • BMC Research Notes (2012)

Abstract Background Biology, biomedicine and healthcare have become data-driven enterprises, where scientists and clinicians need to generate, access, validate, interpret and integrate different kinds of experimental and patient-related dat...

DOAJ Open Access (DOAJ) DOI: 10.1186/1756-0500-5-10

Modeling a High Concentrator Photovoltaic Module Using Fuzzy Rule-Based Systems

Manuel Angel Gadeo-Martos, Antonio Jesús Yuste-Delgado, Florencia Almonacid Cruz, Jose-Angel Fernandez-Prieto et al. • Energies (2019)

Currently, there is growing interest in the modeling of high concentrator photovoltaic modules, due to the importance of achieving an accurate model, to improve the knowledge and understanding of this technology and to promote its expansion...

DOAJ Open Access (DOAJ) DOI: 10.3390/en12030567

Lyapunov analysis of data-driven models of high dimensional dynamics using reservoir computing: Lorenz-96 system and fluid flow

Miki U Kobayashi, Kengo Nakai, Yoshitaka Saiki • Journal of Physics: Complexity (2024)

We computed the Lyapunov spectrum and finite-time Lyapunov exponents of a data-driven model constructed using reservoir computing. This analysis was performed for two dynamics that exhibit a highly dimensionally unstable structure. We focus...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-072X/ad5264

A Data-Driven Approach for Enhancing Customer Loyalty through Strategic Business Innovations and Technology Integration

Venkataramana Karri, Polamarasetty Nooka Appa Rao, Gopal Krishna Sanapala, V Vijaya Kumar et al. • Ianna Journal of Interdisciplinary Studies (2025)

Background: Customer trust and loyalty are critical in today’s competitive business environment. Integrating technology, sustainability, and omnichannel approaches has been recognised as a key factor in enhancing customer experience. Howeve...

DOAJ Open Access (DOAJ)

Integrating sensor data and GAN-based models to optimize medical university distribution: a data-driven approach for sustainable regional growth in Saudi Arabia

Abdullah Addas, Abdullah Addas, Muhammad Nasir Khan, Muhammad Tahir et al. • Frontiers in Education (2025)

IntroductionThe regional disparity in higher education access can only be met when there are strategies for sustainable development and diversification of the economy, as envisioned in Saudi Vision 2030. Currently, 70% of universities are c...

DOAJ Open Access (DOAJ) DOI: 10.3389/feduc.2025.1527337

Machine Learning–Based Prediction of Organic Solar Cell Performance Using Molecular Descriptors

Mohammed Saleh Alshaikh • International Journal of Emerging Research in Engineering, Science, and Management (2025)

The performance of Organic Solar Cells (OSCs) is intrinsically linked to the molecular, electronic, and structural properties of donor and acceptor materials. This study employs various machine learning techniques, namely the Generalized Re...

DOAJ Open Access (DOAJ) DOI: 10.58482/ijeresm.v4i4.4