Improved identification and tracking of three-dimensional eddies in the Southern Ocean utilizing 3D-U-Res-Net by Chang Liu, Xiayan Lin, Xiayan Lin, Guangjun Xu, Guangjun Xu, Guoqing Han, Yu Liu

“…Accurate characterization of their three-dimensional structures and movement is essential for a quantitative analysis of their transport processes. Traditional eddy detection algorithms have lower successful detection rate and with more limitations, so they fall short in the complex and dynamic ocean environment. …”
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Fast Reflectance Spectral Profile Reconstruction Method for Full-waveform Hyperspectral LiDAR by Hui SHAO, Hulong ZHANG, Hui DAI, Yuwei CHEN, Long SUN, Heng XU, Xingyun LI

“…To obtain the target reflectance spectral profile, a common solution is to correct the echo intensity (standard reference correction method) using standard diffuse reflectance whiteboards. However, in complex detection environments, whiteboards are susceptible to contamination, and the transmitting intensity of the laser may fluctuate due to changes in the environment and equipment conditions, which may potentially impact the calculation accuracy. …”
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Recycling of Lithium Iron Phosphate Batteries: From Fundamental Research to Industrialization by Yue Wang, Xiaohong Zheng, Dingshan Ruan, Shili Zheng, Hongbin Cao, Changdong Li, Zhi Sun

“…It concludes that direct regeneration has greater application potentials but remains at an initial research stage while indirect regeneration is suitable for situations with complex raw materials or high-value resource reserves. …”
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A Multiagent Decision-Making Model for Martian Landing Site Selection by Rong Wang, Yongjiu Feng, Panli Tang, Pengshuo Li, Yiyan Dong, Yusheng Xu, Chao Wang, Sicong Liu, Yanmin Jin, Shijie Liu, Xiaohua Tong

“…Selecting suitable landing sites on Mars remains one of the key challenges due to the complex terrain of Mars and the diverse scientific objectives in Mars exploration missions. …”
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Tracking Oral Nanoparticle Uptake in Mouse Gastrointestinal Tract by Fluorescent Labeling and t-SNE Flow Cytometry by Rabeya Mow, Michal Kuczma, Xiaodi Shi, Didier Merlin, Chunhua Yang

“…By integrating optimized fluorochrome selection and gating strategies with advanced t-distributed stochastic neighbor embedding (t-SNE) analysis, this method enables precise identification and multidimensional visualization of LNP-targeted epithelial and macrophage populations under the complex conditions of inflamed colon tissue. Building on our previous studies demonstrating the effectiveness of nanoparticles in targeted drug delivery, this approach highlights the utility of flow cytometry for assessing uptake efficiency and cellular targeting. …”
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Impact of Mobile Phase Composition on Separation Selectivity of Labeled Dextran Ladder in Hydrophilic Interaction Liquid Chromatography by Matjaž Grčman, Niko R. Pompe, Drago Kočar, Matevž Pompe

“…There are many kinds of glycans, the most common being N-glycans, which can be arranged into three classes, that is, complex, hybrid, and high mannoses, forming a structurally very diverse set of polar compounds that are difficult to detect and separate. …”
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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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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Enhanced Decision-Making: Addressing uncertainty and complexity in decision-making processes to improve outcomes. 2. …”
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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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