The large-scale adoption of neuro-symbolic foundation models poses a critical challenge: zero-shot knowledge transfer is hindered by mismatches in latent distributions, modality heterogeneity, and discrepancies between symbolic and neural representations. In the following paper, a Cross-Domain Latent Space Alignment (CDLSA) framework will be propos...

By Alijon Anvarov, Jonibek Berdikulov, Azizjon Begaliev, Zulxumor Djurayeva, Khaydar Kamilov, Soniya Islyamova, Guzal Ergasheva

The speed of the increasing digital content requires the creation of successful Automatic Text Summarization (ATS) systems. Although major improvements have been made in the summarization of high-resource languages, the summarization of Arabic texts has not been effectively studied, especially in terms of comparative studies of preprocessing method...

By Rasha Almutairi, Sahar Jambi, Tawfiq Hasanin

Vision Transformers (ViTs) have attained very promising results in the field of computer vision, but those models continue to face several critical issues such as gradient saturation and poor generalization on smaller datasets. The current attention mechanisms are inefficient to resolve issues by the leading to ineffective feature extraction and an...

By S. Shalini, P.S. Eliahim Jeevaraj

The rapid development of digital learning technologies has raised concerns about credential fraud, centralized data, restricted learner mobility, and limited epistemic agency. Traditional credentialing systems, generally organised by universities, accreditors, and centralised systems, restrict students' autonomy by lacking ownership, portability, a...

By Surayyo Sanayeva, Gulchehra Meliqozieva, Gavkhar Tursunova, Elvira Tadjikhodjaeva, Feruz Ganjiev, Surayyo Eshboyeva, Ashur Yaxshiyev

In this study, the authors examine how journalism affects the societal awareness regarding 2D nanomaterials and their use in photocatalysis, using the content of the press from 2000 to 2025. The analytical approach and historical approach of the study help them to comprehensively examine a variety of sources, such as newspapers, archival repositori...

By Ala'a A. Al-Majdi, Safaa M. Almudhafar

Adaptive algorithms have become increasingly influential in shaping the nature of immersive digital experiences and have been used to continually personalise content, recommendations, and behavioural prompts. Since over 70% of users interact with AI-modified systems daily, algorithmic mediation is a factor in almost two-thirds of content viewing an...

By Mashkhura Khalimova, Nodira Urinova, Shohjahon Dehkonboev, Shakhlo Iskhakova, Atham Jurayev, Fotima Rafikova, Dilbar Jabborova

The business model of the sharing economy is growing rapidly globally with the emergence of a series of sharing platforms such as Uber, Grab. The carriage of goods and passengers by transportation connection technology translation application have economic advantages and convenience for participants. Previous research on the sharing economy has lar...

By Nguyen Dinh Hoan, Nguyen Tuan Duong, Nguyen Thi Tuyet, Nguyen Thi Thao Anh

In this research paper, the researcher looks into how diversity in advertising has impacted the purchasing behavior of Generation Z consumers. With inclusiveness emerging as a major consideration among this group of people, it is important to learn how their perceptions of the brand and their intention to purchase the product are influenced by dive...

By C. Bindu, Syed Mohammad Ghouse

The study explores the interaction between awareness and attitude in determining the cause related marketing (CRM) intentions of the Generation Z, localized in the Ernakulam District of Kerala. Although there are high literacy levels in the region, little has been done in determining the mechanisms used by CRM to mobilize youth on social and enviro...

By R. Remya, A. Dharmaraj

Computer vision is a significant field of application of mathematical models developed to monitor 3D anatomical locations of the human body, particularly in robotics, surveillance, and medicine. In this paper, we present a new model that applies the Kalman filter (KF) to track 3D anatomical features in real time with increased precision. The approa...

By Nadia Ibrahim Nife, Marwah Nihad, Mohammed Ahmed Hussein, Hoger K. Omar