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All Journal International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) IJEFSD
Ahmed, Tanvir
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Experimental Evaluation of CLIP-Based Zero-Shot Classification of Imbalanced Remote Sensing Scenes: Addressing Quantity Disparities in Data Ahmed, Tanvir; Tanha, Asfika Jaman; Iftee, Shekh Ifteesham; Mahmud, Tanjoy; Rahman, Ekra MD Emadur; Maruf, Hossain MD
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i1.14164

Abstract

This paper presents a zero-shot learning framework based on Contrastive Language Image Pretraining (CLIP) for Remote Sensing Scene Classification (RSSC). The proposed method addresses the challenge of imbalanced image quantities across different categories, which is often encountered in practical ap-plications. Traditional zero-shot learning methods in RSSC leverage pre-trained word embeddings to extract semantic features from category names or descriptions, which are then fixed during the learning process without adaptation to visual features. This leads to a gap between visual and semantic representations. We have integrated the slot deposit 5000 Vision Transformer with CLIP to enhance the alignment between visual and semantic features. Extensive experiments conducted on WHU-RS19 dataset demonstrate the effectiveness of the proposed framework, show-casing improved classification performance and generalization capabilities.
Integrated Dashboard Architecture for Financial Reporting, MIS, and Early Warning Metrics in Liquidity and Market Risk Management Ahmed, Tanvir
International Journal on Economics, Finance and Sustainable Development Vol. 6 No. 4 (2024): International Journal on Economics, Finance and Sustainable Development (IJEFSD
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijefsd.v6i4.5579

Abstract

The development and strategic significance of an integrated Dashboard Architecture that links Financial Reporting, Management Information Systems (MIS), and early warning metrics related to Liquidity and Market Risk. This framework serves as a comprehensive analytical platform that consolidates financial, operational, and risk data within a real-time interactive environment. The primary objective is to enhance decision-making, improve transparency, and ensure regulatory compliance amidst a rapidly evolving economic landscape. The architecture is designed with a user-centered approach, featuring sophisticated data visualization and advanced analytics that utilize artificial intelligence (AI) and machine learning to transform complex datasets into meaningful insights. By integrating operational, tactical, analytical, and strategic dashboards, the system guarantees that financial reporting aligns with organizational objectives while facilitating the predictive monitoring of liquidity and market risks. The discourse presents real-world applications within financial institutions, highlighting measurable improvements in reporting efficiency, liquidity forecasting, and compliance tracking. Additionally, it evaluates the role of Governance, Risk Management, and Compliance (GRC) frameworks, alongside contemporary Business Intelligence (BI) practices, in enhancing the scalability and sustainability of this architecture. Furthermore, the study identifies emerging trends, such as real-time analytics and AI-enhanced early warning systems, as well as pertinent ethical concerns related to data protection and fairness in automated analysis. Ultimately, the integration of such dashboards signifies a substantial advancement in financial governance, enabling institutions to strengthen their resilience, improve performance, and foster a risk-aware culture that supports informed and proactive decision-making in today's digital financial ecosystem.
Co-Authors Iftee, Shekh Ifteesham Mahmud, Tanjoy Maruf, Hossain MD Rahman, Ekra MD Emadur Tanha, Asfika Jaman