Maritime moving target localization method based on improved differential evolution with GNSS-based passive multistatic radar by HE Zhenyu, MAO Yi, YANG Yang, CHEN Wu

“…To enhance the efficiency of the projection processing, an improved differential evolution was put forward, which could ensure algorithm convergence and maintain population diversity by the co-evolution strategy of superior and inferior populations. …”
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Improved Confidence-Interval Estimations Using Uncertainty Measure and Weighted Feature Decisions for Cuff-Less Blood-Pressure Measurements by Soojeong Lee, Mugahed A. Al-antari, Gyanendra Prasad Joshi

“…We obtained uncertainty using Gaussian process regression (GPR). The CI obtained from the GPR model is computed using the distribution of BP estimates, which provides relatively wide CIs. …”
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DRKG: Faithful and Interpretable Multi-Hop Knowledge Graph Question Answering via LLM-Guided Reasoning Plans by Yan Chen, Shuai Sun, Xiaochun Hu

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Automated Root Cause Analysis of Network Failures in IP/MPLS Network Using Machine Learning and Case-Based Reasoning by Tikumporn Wankvar, Apichon Witayangkurn

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Efficient Storage Management of Optical Coherence Tomography Images using Zero-Shot Noise2Noise and a Custom Convolutional Neural Network by Alexandru-Robert FARCAŞ, Radu-Constantin FLEŞAR, Todor IVAŞCU, Sebastian-Aurelian ŞTEFĂNIGĂ

“…When trained on unprocessed images, the model achieved 96% accuracy and took about 51 seconds to process and evaluate the test images. In comparison, the model trained on processed images achieved 91% accuracy and took about 42 seconds, demonstrating improved processing efficiency. …”
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Advancing Author Gender Identification in Modern Standard Arabic with Innovative Deep Learning and Textual Feature Techniques by Hanen Himdi, Khaled Shaalan

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Multithreaded Convolution Implementation Based on Block Methods by A. V. Sharamet

“…Based on the results of the analysis, a universal scheme for performing convolution based on multithreaded processing of an input data block is proposed. This allows to achieve a good compromise between computational complexity, system architecture, and time costs.…”
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VISION: a modular AI assistant for natural human-instrument interaction at scientific user facilities by Shray Mathur, Noah van der Vleuten, Kevin G Yager, Esther H R Tsai

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Multi-Hop Relay Based Free Space Optical Communication Link for Delivering Medical Services in Remote Areas by Rajan Miglani, Jagjit Singh Malhotra, Arun K. Majumdar, Faisel Tubbal, Raad Raad

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MEFormer: Enhancing Low-Light Images While Preserving Image Authenticity in Mining Environments by Zhenming Sun, Zeqing Shen, Ning Chen, Shuoqi Pang, Hui Liu, Yimeng You, Haoyu Wang, Yiran Zhu

“…Experiments on public datasets and MELOL demonstrate that MEFormer achieves a 0.05 increase in the SSIM, a PSNR above 25, and an LPIPS score of 0.15. The model processes 10,000 128 × 128 images in just 2.8 s using an Nvidia H100 GPU.…”
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A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

“…It is openly available through established repositories and adheres to the FAIR principles, facilitating transparency, reproducibility, and interdisciplinary applications in computational social science, natural language processing, and AI governance research.…”
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Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction by Aleksei Samarin, Alexander Savelev, Aleksei Toropov, Aleksandra Dozortseva, Egor Kotenko, Artem Nazarenko, Alexander Motyko, Galiya Narova, Elena Mikhailova, Valentin Malykh

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Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

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Recommending Actionable Strategies: A Semantic Approach to Integrating Analytical Frameworks with Decision Heuristics by Renato Ghisellini, Remo Pareschi, Marco Pedroni, Giovanni Battista Raggi

“…The approach employs <b>vector space representations</b> and <b>semantic similarity calculations</b> to map framework parameters to heuristic patterns, supported by a computational architecture that combines deep semantic processing with constrained use of Large Language Models. …”
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A Nested Named Entity Recognition Model Robust in Few-Shot Learning Environments Using Label Description Information by Hyunsun Hwang, Youngjun Jung, Changki Lee, Wooyoung Go

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Research on the Classification of Sun-Dried Wild Ginseng Based on an Improved ResNeXt50 Model by Dongming Li, Zhenkun Zhao, Yingying Yin, Chunxi Zhao

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Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…Introduction.In recent years, computer technologies are more and more widely used in medicine. …”
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Mean-Median Compromise Method: A Novel Deepest Voting Function Balancing Range Voting and Majority Judgment by Ruffin-Benoît M. Ngoie, Selain K. Kasereka, Jean-Aimé B. Sakulu, Kyandoghere Kyamakya

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Preliminary Study on Sensor-Based Detection of an Adherent Cell’s Pre-Detachment Moment in a MPWM Microfluidic Extraction System by Marius-Alexandru Dinca, Mihaita Nicolae Ardeleanu, Dan Constantin Puchianu, Gabriel Predusca

“…By combining microfluidics, sensor detection, and AI-driven image processing, this study established a non-invasive method for optimizing adherent cell detachment. …”
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Low-Complexity Adaptive Chromatic Dispersion Estimation Scheme Using Machine Learning for Coherent Long-Reach Passive Optical Networks by Jin Li, Danshi Wang, Min Zhang

“…In the coherent long-reach passive optical networks (LRPON), it is crucial to propose cost-effective digital signal processing (DSP) technologies to reduce the overall complexity and power consumption. …”
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