INTI International College Penang

Preliminary Experiment of EDM Wire Cut on AZ31 Magnesium Alloy

Muhammad Syafiq Iskandar Rosni, Muhammad Al’Hapis Abdul Razak, Mohamad Sazali Said, Jum’azulhisham Abdul Shukor et autres

ABSTRACT The AZ31 magnesium alloy has become quite popular in the aerospace industry as well as in the automotive sector because of its high strength‐to‐weight ratio and corrosion resistance properties. However, the magnesium alloy's tendency for being highly reactive, having low thermal …

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CObot+ Intelligent Edge–Cloud Attendance System Using Facial Recognition

Ahmad Anwar Zainuddin, M R Muhammad Saifuddin, Ahmad Adlan bin Abdul Halim Halim, Farah Amirah binti Abdul Muin Muin et autres

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CObot+ Intelligent Edge–Cloud Attendance System Using Facial Recognition

Ahmad Anwar Zainuddin, M R Muhammad Saifuddin, Ahmad Adlan bin Abdul Halim Halim, Farah Amirah binti Abdul Muin Muin et autres

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Case Study on Zebra Technologies' Stock Performance in Relevance with Market Index AND CAPM

Y. W. (Yeoh) Win

The study had been focusing to target case study on the Zebra Technologies' stock performance in relevance with market index and CAPM. The company of Zebra Technologies had been recognized as the Fast-growing company in the technology industry where the stock performance …

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Harnessing artificial intelligence (AI) for innovation in family businesses: A conceptual model based on dynamic capabilities theory

Mohd Rushidi Mohd Amin, Vinesh Maran Sivakumaran

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Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?

Aishwarya Ramasethu, Niyathi Allu, Rohin Garg, Harshwardhan Fartale et autres

Large Language Models (LLMs) have achieved strong performance across many downstream tasks, yet their effectiveness in extremely low-resource machine translation remains limited. Standard adaptation techniques typically rely on large-scale parallel data or extensive fine-tuning, which are infeasible for the long tail of …

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Investigation on the aerodynamic drag reduction of the frontal projection of a car using finite volume method

Lyeonis Stanley Victor Stanley, Nur Hafizah Habideen, Tajul Afiq Tajul Arus, Mohd Faiz Osrin et autres

Aerodynamic drag significantly influences vehicle fuel efficiency and energy consumption, particularly at highway operating conditions. While full three-dimensional (3D) simulations are widely employed in automotive aerodynamics, computationally efficient two-dimensional (2D) approaches remain valuable for early-stage design screening. This study investigates the influence …

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Examining Customer Satisfaction Drivers in Digital Banking Services for Young Adult Users

Gan Kia Hui, Hani Ariesha Binti Khursani, Universiti Sains Malaysia, Goh Jie Yi et autres

The rapid expansion of digital banking has reshaped financial service delivery, particularly among young adults who rely heavily on mobile and online platforms for daily transactions. Understanding the determinants of customer satisfaction in this context is therefore essential for sustaining competitiveness and …

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Artificial intelligence-driven approaches for halal tourism and hospitality: a framework for enhancing consumer trust and meeting Muslim travelers’ needs

Mohd Rushidi Mohd Amin, Walton Wider, Vinesh Maran Sivakumaran, Lyu Yang et autres

Purpose This study aims to develop a conceptual framework that explores how artificial intelligence (AI)-driven solutions can enhance halal tourism and hospitality experiences by fostering consumer trust. The framework proposes key variables influencing trust, emphasizing how AI tools can meet the specific …

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The Branded Dynasty Paradox: Theorising the Tensions between Autonomy and Alignment in Family-Centric Celebrity Brands

Mohd Firdaus bin Zainolabidin, Fatin Alia binti Shahar, Nor Afidah Azmi

This conceptual paper interrogates the emergent phenomenon of the “branded dynasty,” where a family’s surname evolves from a personal identifier into a controlled, commercial brand entity. Focusing on celebrity families like the Beckhams and Kardashian-Jenners, the paper identifies and theorises a core …

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Reconceptualizing Brand Safety in Digital Environments: A Multidimensional Framework

Mohd Firdaus bin Zainolabidin, Fatin Alia binti Shahar, Nor Afidah Azmi, Roslizawati Ahmad

Brand safety is becoming a top strategic concern for both platforms and marketers due to the increased exposure of companies to risky and unpredictable situations brought about by the growing reliance on digital platforms. The conceptual fragmentation of research on brand safety …

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Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?

Aishwarya Ramasethu, Rohin Garg, Niyathi Allu, Harshwardhan Fartale et autres

Aishwarya Ramasethu, Rohin Garg, Niyathi Allu, Harshwardhan Fartale, Dun Li Chan. Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026). 2026.

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