Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651
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Article An Uncertainty-Gated Neuro-Symbolic Framework for High-Coverage Topic Modeling and Trend Analysis in Scholarly Corpora with LLM Assistance(IEEE-Inst Electrical Electronics Engineers Inc, 2026) Demir, Onur; Saran, MuratThe rapid growth of scientific literature demands scalable methods that can track research evolution, yet density-based topic models such as BERTopic systematically exclude low-density documents as outliers, obscuring emerging and niche research areas. We propose a Neuro-Symbolic, Uncertainty-Gated Framework that recovers these outliers through geometric centroid reassignment and an ontological entropy gate derived from the Computer Science Ontology (CSO), routing only genuinely ambiguous cases to a local Large Language Model (Qwen2.5-14B via Ollama). A controlled ablation study demonstrates that centroid reassignment provides the largest coverage gain (+ 22.9 percentage points (pp)), the CSO entropy gate preserves niche-topic integrity, and selective LLM routing adds an additional + 5.9 pp. On 12,535 Turkish computer engineering theses (TR-CS; 2001-2025), the full pipeline raises coverage from 75.5% +/- 1.2 % (Bare BERTopic) to 95.7% +/- 0.4% (five-seed means) while maintaining competitive coherence (NPMI = 0.112 +/- 0.006) and cross-seed stability (AMI = 0.832 +/- 0.015), at similar to 15x fewer LLM calls than a fully generative Pure-LLM baseline. Mann-Kendall trend tests on the high-coverage series identify 69 statistically significant trends (FDR q < 0.05), and cross-corpus validation on similar to 200K arXiv CS abstracts confirms that the architecture generalizes beyond the primary dataset. The framework offers a reproducible, cost-effective solution for monitoring scientific developments in rapidly evolving fields.Article Citation - WoS: 16Citation - Scopus: 23Entanglement Sustainability in Quantum Radar(IEEE-Inst Electrical Electronics Engineers Inc, 2020) Gokcen, Dincer; Gecim, H. Selcuk; Salmanogli, AhmadIn this study, some important parts of a quantum radar are designed using the quantum electrodynamics theory and significantly focused on entanglement conservation. Quantum radar is generally defined as a detection sensor that utilizes the microwave photons like a classical radar and simultaneously employs quantum phenomena to improve detection, identification, and resolution capabilities. However, the entanglement is so fragile, unstable, and difficult to preserve for a long time. Also, more importantly, the entangled states have a tendency to leak away due to the noise. The points mentioned enforces that the entangled states should be carefully studied at each step of the quantum radar detection processes such as the creation of the entangled photons in the tripartite system, the amplification of the photons, the propagation into the atmosphere, and the reflection from the target. At each step, the parameters related to the real mediums and target material can affect the entangled states to leak away easily. The results of simulations indicate that the features of the tripartite system and amplifier are so important to lead the detected photons to remain entangled with the optical modes. Nonetheless, it is found that a lot of entangled photons lose the related non-classical correlation.