
Recent Challenges in Intelligent Information and Database Systems
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This book constitutes the proceedings of the 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, held in Ras Al Khaimah, UAE, during April 15-18, 2024.
The 58 full papers are presented in this book were carefully reviewed and selected from 251 submissions. They are organized in topical sections as follows:
Part One: AI-driven Cybersecurity Solutions; AI-driven Medical Analytics; Computational Intelligence; and Data Modelling and Information Systems.
Part Two: Image and Video Processing; Prediction and Recommendation Systems; and Text, Speech and Natural Language Processing.
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Content
.- AI-driven Cybersecurity Solutions .
.- Security aspects of digital identity.
.- Efficient Deep Learning Method For Detection Of Malware Attacks In Internet Of Things Networks.
.- A Deep Neural Networks approach for Speaker Verification on Embedded Devices.
.- Phishing Detection Using Ensemble of Classifiers.
.- An Effective Ensemble Classification Algorithm for Intrusion Detection System.
.- Mean-Square Consensus of Second-Order Multi-Agent Systems with Semi-Markov Switching for Non-periodic DoS attacks.
.- AI-driven Medical Analytics .
.- An Attention-Driven Hybrid Network for Survival Analysis of Tumorigenesis Patients Using Whole Slide Images.
.- A Deep Learning Approach to Diabetes Diagnosis.
.- A novel approach for Medical E-Consent: Leveraging Language Models for Informed Consent Management.
.- Multi-scale and Multi-level Attention based on External knowledge in EHRs.
.- Exploring XAI attention maps to investigate the effect of distance metric and lesion-shaped border expansion size for effective
content-based dermatological lesion retrieval.
.- D-MiQ: Deep Multimodal Interactive Healthcare Query expansion approach for web search engines retrieval effectiveness.
.- Computational Intelligence .
.- Complexity of Transforming Decision Rule Systems into Decision Trees and Acyclic Decision Graphs.
.- Depth of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes.
.- Gradient Overdrive: Avoiding Negative Randomness Effects in Stochastic Gradient Descent.
.- Blockchain-based Educational Certification Systems Using A Modified Hash Algorithm.
.- The Merged Longest Common Increasing Subsequence Problem.
.- Applying transformation to reduce model sizes for Constrained Optimization Problems.
.- Multiple Traveling Salesman Problem with a Drone Station: Using Multi-Package Payload Compartments.
.- Unveiling the power of hybrid balancing techniques and ensemble stacked and blended classifiers for enhanced churn prediction.
.- Improvement of a Forward Reasoning Engine FreeEnCal for Trust Reasoning.
.- A structure based on B+trees to represent a large number of k-multisets stored in non-volatile memory.
.- Optimizing Option Short Strangle Strategies through Genetic Algorithm.
.- Data modelling and information systems .
.- Optimizing Airline Pilots Training Plans: A Mixed Integer Linear Programming Approach.
.- Towards an Ontological Approach for Verifying the Well-Formedness of Training Programs.
.- Novel Knowledge Graph-Based Modeling for Vulnerability Detection in the Internet of Medical Things.
.- Functional test generation based on requirements defined at GUI level.
.- Penetration Testing and Security Assessment Model for Biomedical Devices.
.- Cooperative User Interface for AGV - Proof of Concept.
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