This two-volume set CCIS 3093-3094 constitutes the conference proceedings of the 7th International Conference on Information Retrieval and Knowledge Management, CAMP 2026, held in Putrajaya, Malaysia, during August 1213, 2026.

The 27 full papers and 30 special session papers included in these volumes were carefully reviewed and selected from 113 submissions. They are organized into the following topical sections:

Part I: Computational Linguistics; Data Science; Information Retrieval; and Knowledge Management.

Part II: Transforming Data into Actionable Knowledge: AI and Retrieval for Intelligent Health Systems; AI-Resilient Computer Science Education: Assessment Innovation, Curriculum Redesign, and Learning Analytics in the Era of Generative AI; Ethical AI in Education and Responsible Research: Frameworks, Governance, and Trustworthy AI for Knowledge-Driven Institutions; Data Governance and Knowledge Management: Higher Education Performance Analytics and Knowledge-Driven Decision Making; Digital Innovation and Transformation; Generative AI, Large Language Models, and Real-World Applications

Inhalt

.- Computational Linguistics.

.- Clustering Noisy Malay Text Type Using K-MEANS With Word Representation Approach-es.

.- Feature-Group Influence on Student Performance Prediction across Heterogeneous Learning Platforms.

.- Sarcasm Markers for Malay Social Media Text: Establishing a Classification Baseline.

.- Data Science.

.- An Agricultural Digital Twin Platform for Integrated Monitoring, Prediction, and Decision Support: Design and Usability Evaluation .

.- A Temporally-Adaptive Multimodal Misinformation Detection Framework with Cross-Modal Alignment and Gated Fusion.

.- Beyond Ratings: A Multi-Source Human-Centered Perspective on Restaurant Selection.

.- Digital Audio Poisoning Via MFCC-Space Bilevel Optimization.

.- DroneCare: An Intelligent System for Predicting Drone Failures Using Artificial Intelligence.

.- Enhancing Multi-Objective Eco-Efficient Flight Route Optimization Under Dynamic Constraint.

.- Feature Selection Using Grey Wolf Optimization for Hypertension Classification with Machine Learning.

.- Firefly Species Classification using Deep Learning and Image Augmentation.

.- Fungal Infection detection using Custom Fusion-based Deep Learning Features.

.- Fuzzy Computational Models for Public Health Forecasting to Support SDG 3 Implementation.

.- GT-RL: Graph Transformer-Based Reinforcement Learning for Airport Apron Scheduling Optimization.

.- Leveraging Weather Data and Predictive Analytics to Enhance Special Perils Insurance Uptake in Malaysia.

.- Performance Comparison of Jump Point Search and A* for Grid-Based Campus Pathfinding.

.- Information Retrieval.

.- CF-RAG: Cross-Farm Agricultural Decision Intelligence with Counterfactual Retrieval-Augmented Generation and Adaptive Knowledge Transfer.

.- Improving Factual Grounding in Text-Image Plant Disease Diagnosis Using Multimodal Graph-Enhanced RAG.

.- Invariant Fish Image Representation using Extended Local Directional Pattern Momentgram.

.- Research on Islamic Studies in the ICT Field: A Bibliometric Review in the Scopus Database.

.- Retrieval Augmented Generation (RAG)-Based Information Bot for Higher Education Institutions.

.- The Role of Information Retrieval in the Development of Science: A Case Study of Biotechnology.

.- Knowledge Management.

.- An Enhanced System Usability Scale for Evaluating Organizational Systems with Database and Knowledge Management Components.

.- Designing a Just-in-Time (JIT), Microlearning, and Gamification Intervention for Phishing Awareness in Micro, Small, and Medium Enterprises (MSMEs).

.- ERDucate: An AI-Powered ERD Assessment and Feedback Tool.

.- Smartnotes: AI-Powered Summarization and Flashcard Generation for Learning Database Principles.

.- User-Centred Design of a Virtual Reality Eco-Literacy Game Based on Learner Feedback.