Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection by Khrystyna Lipianina-Honcharenko, Nazar Melnyk, Andriy Ivasechko, Mykola Telka, Oleg Illiashenko

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Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores by Heng Lin, Zhiyong Wang, Shipeng Qi, Xiaowei Zhu, Chuntao Hong, Wenguang Chen, Yingwei Luo

“…Graph databases have gained widespread adoption in various industries and have been utilized in a range of applications, including financial risk assessment, commodity recommendation, and data lineage tracking. …”
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An updated reconstruction of Antarctic near-surface air temperatures at monthly intervals since 1958 by D. Bromwich, S.-H. Wang, X. Zou, A. Ensign

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Optimization of fuzzy linear fractional programming problem with fuzzy numbers by Sapan Das

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Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots by Li Wan, Zhenjiang Li, Changan Zhang, Guangyong Chen, Panming Zhao, Kewei Wu

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A new product for soft sets with its decision-making: Soft star-product by Aslıhan Sezgin, Eylül Şenyiğit

“…Soft sets provide a robust mathematical framework for addressing uncertainty, offering innovative solutions for problems involving parametric data. Soft set operations are core concepts within soft set theory. …”
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TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

“…Adversarial attacks threaten the reliability of machine learning models in critical applications like autonomous vehicles and defense systems. …”
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A Survey of Zero-Shot Object Detection by Weipeng Cao, Xuyang Yao, Zhiwu Xu, Ye Liu, Yinghui Pan, Zhong Ming

“…However, these systems remain limited in real-world applications due to the scarcity of labeled training samples, making it difficult to detect unseen classes. …”
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Exploring Predictive Modeling for Food Quality Enhancement: A Case Study on Wine by Cemil Emre Yavas, Jongyeop Kim, Lei Chen, Christopher Kadlec, Yiming Ji

“…This study explores a data-driven approach to identify the ideal physicochemical composition for wines that could achieve this highest possible rating. …”
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An integrated approach to image quality: comparative analysis of bilinear and nearest neighbor interpolation by Wusat Ullah, Seher Ilyas, Hamza Naveed, Saalam Ali

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CAMELS-AUS v2: updated hydrometeorological time series and landscape attributes for an enlarged set of catchments in Australia by K. J. A. Fowler, Z. Zhang, X. Hou, X. Hou

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MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models by Mianxin Liu, Weiguo Hu, Jinru Ding, Jie Xu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang

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SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs by Faima Abbasi, Muhammad Muzammal, Qiang Qu, Farhan Riaz, Jawad Ashraf

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The Overlooked Genre of Calls-for-Papers: New Grounds to Study Shifts and Connections in Academic Discourse by Juan Pablo Albornoz

“…Using qualitative and quantitative methods, this paper describes the general nature of CfPs and the advantages and limitations of studying the collected data. Then, it discusses the possible applications and implications of studying CfPs as a genre, such as giving insights into the turns or shifts within academic discourse, both past and future.…”
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U-Surf: a global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling by Y. Cheng, L. Zhao, L. Zhao, L. Zhao, T. Chakraborty, K. Oleson, M. Demuzere, X. Liu, Y. Che, W. Liao, Y. Zhou, X. “. Li

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Whelk: An OWL EL+RL Reasoner Enabling New Use Cases by Balhoff, James P., Mungall, Christopher J.

“…Whelk is implemented in Scala and utilizes immutable functional data structures, which provides advantages when performing incremental or dynamic reasoning tasks. …”
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Coastal Atmosphere and Sea Time Series (CoASTS) and Bio-Optical mapping of Marine Properties (BiOMaP): the CoASTS-BiOMaP dataset by G. Zibordi, G. Zibordi, J.-F. Berthon

“…<p>The Coastal Atmosphere and Sea Time Series (CoASTS) and Bio-Optical mapping of Marine Properties (BiOMaP) programs produced bio-optical data supporting satellite ocean color applications for more than 2 decades. …”
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Discrete global grid system flow routing datasets in the Amazon and Yukon basins by C. Liao, D. Engwirda, M. G. Cooper, M. Li, Y. Fang

“…<p>Discrete global grid systems (DGGS) are emerging spatial data structures widely used to organize geospatial datasets across scales. …”
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Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence by Xin Nie, Laurence T. Yang, Fulan Fan, Zecan Yang

“…Although Deep Reinforcement Learning (DRL) can handle complex environments, its lack of transparency and interpretability hinders its applicability due to the black box nature. Moreover, centralized data collection and processing methods pose privacy security risks. …”
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A Consistency-Aware Hybrid Static–Dynamic Multivariate Network for Forecasting Industrial Key Performance Indicators by Jiahui Long, Xiang Jia, Bingyi Li, Lin Zhu, Miao Wang

“…Secondly, a hybrid forecasting model integrating a Static Representation Module and a Dynamic Temporal Disentanglement and Attention Module for static and dynamic data fusion is proposed. For the dynamic data, the trend and periodic components are disentangled and fed into Trend-wise Attention and Periodic-aware Attention blocks, respectively. …”
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