Spectrum‐sensing algorithm based on graph feature fusion by Shanshan Wu, Guobing Hu, Bin Gu

“…Thus, compared to existing algorithms, except block range‐ and energy‐detection‐based methods, the proposed algorithm demonstrates the best spectrum‐sensing performance under low SNRs and channel‐fading conditions, while achieving the lowest computational complexity. …”
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An Effective Algorithm for Collision Resolution in Security Policy Rules by Sergey V. Morzhov, Valeriy A. Sokolov

“…In addition, the authors present a new efficient algorithm for detecting and resolving collisions in firewall rules by the example of the Floodlight SDN controller.…”
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Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications by Pinar Sarisaray-Boluk, Kemal Akkaya

“…The experiment results indicated that the most energy-efficient BS algorithm could also provide the best quality in terms of the foreground detected. …”
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Comparative analysis of security models in cloud platforms by Semen M. Levin

“…The article sheds light on current trends and technologies in cloud data protection, including the use of artificial intelligence and machine learning to enhance threat detection efficiency and the implementation of confidential computing and blockchain technologies to improve data protection. …”
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Online Identification of Aircraft Model Parameters Based on Recursive Least Squares Method by JIANG Yongming, WANG Changqing, XU Cheng

“…However, this method is only suitable for simple linear models and cannot be directly adopted for nonlinear complex motion models.…”
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An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

“…With the cooperation of advanced sensing technology, cloud robot technology for dynamically offloading complex data tasks to cloud processing can improve information transfer efficiency and enhance intelligence level of inspection robot system. …”
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The Implementation of the Askisi-SD Neuropsychological Web-Based Screener: A Battery of Tasks for Screening Cognitive and Spelling Deficits of Children by Nikolaos C. Zygouris, Eugenia I. Toki, Filippos Vlachos, Stefanos K. Styliaras, Nikos Tziritas

“…The web-based nature of the screener enables scalable and standardized administration, making it a practical and efficient tool for the early identification of spelling difficulties in children.…”
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Design and Calibration of Electron Stack Spectrometer for Diagnosing Hot Electron Temperature in Intense Laser-plasma Interactions by BO Nan1, 2, TIAN Baoxian2, WANG Haoran3, 4, WANG Naiyan2

“…Unlike prior studies that assumed identical response coefficients for electrons and gamma rays, this work highlights potential differences in coefficients. …”
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A Comprehensive Review of Advanced Lactate Biosensor Materials, Methods, and Applications in Modern Healthcare by Yifeng Ding, Liuhong Yang, Jing Wen, Yuhang Ma, Ge Dai, Fengfeng Mo, Jiafeng Wang

“…Conventional lactate assays are insufficient to address today’s complex and variable testing environments, and thus, there is an urgent need for highly sensitive biosensors. …”
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CO₂ Interaction Mechanism of SnO₂-Based Sensors with Respect to the Pt Interdigital Electrodes Gap by Adelina Stanoiu, Alexandra Corina Iacoban, Catalina Gabriela Mihalcea, Ion Viorel Dinu, Ovidiu Gabriel Florea, Ioana Dorina Vlaicu, Cristian Eugen Simion

“…Complex phenomenological investigations showed that moisture significantly affects the gas sensing performance. …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. …”
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Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

“…To address these challenges, we propose the Multi-UAV Reconnaissance Proximal Policy Optimization (MURPPO) algorithm based on a distributed reinforcement learning framework, which utilizes an independent decision making mechanism and collaborative positioning method with multiple UAVs to achieve high-precision detection and localization of radiation sources. We adopt a dual-branch actor structure for independent decisions in UAV control, which reduces decision complexity and improves learning efficiency. …”
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A robust covariate‐invariant gait recognition based on pose features by Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

“…Abstract Gait recognition uses video of human gait processed by computer vision methods to identify people based on walking style. The complexity introduced by covariates makes the previous methods less efficient and inaccurate. …”
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Unified Ecosystem for Data Sharing and AI-Driven Predictive Maintenance in Aviation by Igor Kabashkin, Vitaly Susanin

“…The aviation industry faces considerable challenges in maintenance management due to the complexities of data standardization, data sharing, and predictive maintenance capabilities. …”
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Extracellular electron transfer based methylotrophic methanogenesis in paddy soil and the prevalent Methanomassiliicoccus by Lingyan Li, Xuping Tian, Xuemeng Wang, Chuan Chen, Qi Zhou, Lei Qi, Jie Li, Kai Xue, Fangjie Zhao, Yanfen Wang, Xiuzhu Dong

“…Chronoamperometry detected efficient methane production by M. luminyensis CZDD1 and two paddy soils from methanol and dimethylarsenate in accompany with current consumption. …”
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Development of a High-Performance Immunoaffinity Separation Technique for Rare Cell Capture by Dora Szerenyi, Paul Stolk, Jozsef Tovari, Laszlo Takacs, Andras Guttman

“…Efficiently capturing rare cells from complex biological fluids is essential in both diagnostic and therapeutic applications. …”
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A Delayed Response in the Area‐Concentrated Search Can Improve Foraging Success by Thotsapol Chaianunporn, Thomas Hovestadt

“…The dACS rule does not rely on complex spatial memory but only on memorizing how long ago resources were found or not. …”
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A high-performance extracellular field potential analyzer for iPSC-derived cardiomyocytes by Nidhi Patel, Alex Shen, Yuko Wada, Marcia Blair, Devyn Mitchell, Loren Vanags, Suah Woo, Matthew Ku, Kundivy Dauda, William Morris, Minjoo Yang, Björn C. Knollmann, Joe-Elie Salem, Andrew M. Glazer, Brett M. Kroncke

“…Specialized devices can generate Extracellular Field Potential (EFP) measurements from these cells, analogous to the ventricular complex of the electrocardiogram. However, electrophysiological analysis can be complex and requires specialized expertise, posing a barrier to broader adoption in non-specialized labs. …”
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Technological Advancements in Human Navigation for the Visually Impaired: A Systematic Review by Edgar Casanova, Diego Guffanti, Luis Hidalgo

“…Visually impaired people face significant obstacles when navigating complex environments. However, recent technological advances have greatly improved the functionality of navigation systems tailored to their needs. …”
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Enhancing relative humidity modelling using L2 regularization updates by Abdellah Ben Yahia, Iman Kadir, Abdelaziz Abdallaoui, Abdellah El-Hmaidi

“…SOM complements PCA by highlighting data structure nuances and detect complex correlations. L2 regularization, particularly with Lambda = 0.01, effectively reduces data complexity and dispersion, preventing overfitting while enhancing prediction accuracy. …”
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