In the modern world of education, the use of Artificial Intelligence (AI) in language learning has caused a shift in approach, particularly in AI-enabled technical universities where learning the English language is critical for academic success and employment opportunities worldwide. This paper examines the concepts, design, and consequences of AI...

By Akbarbek Allashev, Mukaddas Akhmedova, Dilnoza Abduvakhabova, Nayira Ibragimova, Zulfizar Yakhshieva, Mukhayyo Kambarova, Muyassar Inomova, Madina Kholova

A crucial method for reducing the dimensionality issue in DM (Data Mining) tasks is FS (Feature Selection). Conventional techniques for FS do not scale well in vast spaces. The HPSO-IKM approach has a rather long processing time, so future studies will keep enhancing the technique's stages to reduce the duration of detection. PSO's poor local searc...

By M. Birundha Rani, Dr.A. Subramani

The low-resource social media text i.e., Urdu tweets containing hate speech are identified with the help of a machine learning-based ensemble approach. The dataset used for this study consisted of 8,800 tweets and half of them were labeled as Hateful and the other half as No-Hate. In preprocessing, we took into account the features of Urdu normaliz...

By Husnain Saleem, Muhammad Javed, Kiran Hanif, Asad Ullah, Muhammad Usman Ghani, Muhammad Waqas, Muhammad Ali Khan, Sheraz Ali Hassan

The merging of the traditions and novelty in the later works of literature is the convergence of realism and experimental narratives. Where realism has its goals and aims on the true representations of society, the experimental narratives disrupt the norms by their disjointed structures and unreliable narrators. This paper will explore how modern w...

By Zulfiya Pardaeva, Oleg Kim, Dilorom Khodjimetova, Yuliya Isaeva, Umid Kholnazarov, Sevara Berdimurotova, Mohinur Farmonova, Zokhida Amirova

This research aims to propose and empirically examine a framework that explains how entrepreneurial orientation elements contribute to intellectual property commercialization performance among social science academicians in Malaysian public universities. Specifically, the framework explores the mediating role of university support and the moderatin...

By Khairil Azfar Bin Ahmad Zubir, Muhamad Ali Imran Bin Kamarudin

This study presents a bibliometric analysis of maritime tourism transportation management and development, emphasizing Malaysia’s contribution to global scholarship. Data were extracted from the Scopus database using title-based searches covering maritime tourism, island tourism, and transportation studies. A sample of 176 publications (1983 ...

By Shamsul Nazim Jaffar, Mohd Saiful Izwaan Saadon, Dina Azleema Mohamed Nor, Mohd Rizal Ismail, Loke Keng Bin, Nik Muhamad Afiz Harom @ Junoh

Construction project managers have traditionally been chosen based on technical competence and experience, and little emphasis has been placed on emotional intelligence (EI), which plays an important part in the management of high-pressure environments, stakeholder relationships and conflict. The paper builds a contextual EI testing instrument base...

By Mohd Nasrun bin Mohd Nawi, Norhidayah Tamrin, Abdul Ghafur Hanafi, Mohd Faizal Omar, Mohd Kamarul Irwan Abdul Rahim, Faizatul Akmar Abdul Nifa

The proposed research paper suggests a hybrid system to improve speed and data extraction in a large data server setup, but the focus will be on how to maximize the use of resources and provide actionable information on the unstructured data. The architecture also incorporates fragmentation-enabled virtual machine (VM) migration and high-end data s...

By G.S. Manjula, T. Meyyappan

The evolution of traditional microgrids to integrate distributed renewable energy sources, such as solar and wind, has transformed them into complex cyber-physical systems (CPSs). While this enhances sustainability, it introduces challenges related to intermittency, uncertainty, and real-time operational decision-making. A major concern is the reli...

By Anjali Krushna Kadao, Sanjay Kumar

The innovation of Machine Learning (ML) techniques is evolving from basic techniques to optimized techniques, considerably improving the performance of prediction models. In the proposed work, the study primarily explores fundamental ML classification methods to classify banking customers based on their credit information. The classification of cus...

By Sufaira Shamsudeen, K. Ranjith Singh