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Special Issue “On Defining Artificial Intelligence”—Commentaries and Author’s Response
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In Search of Insight: My Life as an Architectural Explorer
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Branch Specialization
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Guest Editorial: Graph Representation Learning for Feature Extraction and Signal Processing
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Issue Information
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Issue Information
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Artificial Motivation for Cognitive Software Agents
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Performance Evaluation of Deep Learning Architectures in the Classification of Plant Diseases
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Acknowledgement to reviewers of Volume 1, Issue 1
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Semantic Consensus-Based Multi-LLM Architecture for TÜBİTAK Proposal Generation
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Automated Skin Lesion Segmentation in Medical Images Using U-Net Architectures
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An End-to-End Deep Learning Architecture for Information Extraction from Turkish Identity Cards
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An Evolutionary Neural Architecture Search Method Accelerated by Multi-Fidelity Evaluation and Genetic Decision Controller
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H2CD: Semantic‐Enhanced Heterogeneous Hypergraph Network With Large Language Model for Cognitive Diagnosis
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Unveiling 5G Core Research Trends: Thematic Clustering and LLM-Enhanced Insights into Architecture, Security, and Artificial Intelligence
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Cognitive Mapping in Ottoman-Turkish Music: A Machine Learning Approach to Modal Transitions (16th–19th Centuries)
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Safe integration of Large Language Models into industrial process control: a multi-agent architecture with P&ID-grounded validation
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Exploring Bayesian Optimization
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Temporal Dependency‐Aware Trajectory‐Level Behavioural Metric for Exploration in Reinforcement Learning
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ESCAPE: an efficient and safe distributed UAV swarm exploration framework with collision avoidance perception
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TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward
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Exploration and Exploitation: A Study on Sample Efficiency in Reinforcement Learning With Multifaceted Curiosity Rewards and Adaptive Experience Replay Utilisation in Sparse Reward Environments
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Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks
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H-ViT: hardware-friendly post-training quantization for efficient vision transformer inference