Context-Adaptable Deployment of FastSLAM 2.0 on Graphic Processing Unit with Unknown Data Association by Jessica Giovagnola, Manuel Pegalajar Cuéllar, Diego Pedro Morales Santos

“…Simultaneous Localization and Mapping (SLAM) algorithms are crucial for enabling agents to estimate their position in unknown environments. …”
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Aerodynamic Drag Coefficient Prediction of a Spike Blunt Body Based on K-Nearest Neighbors by Jonathan Arturo Sánchez Muñoz, Christian Lagarza-Cortés, Jorge Ramírez-Cruz

“…However, most documentation focuses on modifying spike physical properties while keeping constant supersonic or hypersonic flow conditions. …”
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Remote Sensing of Alpine Peatlands: Challenges of Mapping Thousands of Sparse Small Sites Scattered Across Extensive Mountainous Territories by Qiqi Li, Manudeo Singh, Sonia Silvestri

“…Variable importance analysis in the RF model indicated that elevation is the most influential factor, while the microwave derived VV‐VH difference (ascending track) contributes the least.…”
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Gray Wolf Optimizer With Communication Strategy Based on DV-Hop for Nodes Location of Wireless Sensor Networks by Dan Yu, Ting Yuan, Haiyin Qing, Wenwu Xie, Peng Zhu

“…To alleviate the constraints imposed by the convergence factor in the conventional GWO algorithm, a Logistic chaotic mapping has been integrated. …”
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Distributed Observer-Based Adaptive Trajectory Tracking and Formation Control for the Swarm of Nonholonomic Mobile Robots with Unknown Wheel Slippage by Sathishkumar Moorthy, Sachin Sakthi Kuppusami Sakthivel, Young Hoon Joo, Jae Hoon Jeong

“…This controller enables the leader robot to accurately follow a virtual reference trajectory while estimating the actual slipping ratio with precision. …”
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Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing by J. Schauer, P. Goodarzi, A. Schütze, T. Schneider

“…The deep neural network representation reduced the runtime compared to a common Python implementation by up to 99.3 % while retaining the accuracy. Finally, a quantization method was successfully applied to interpretable machine learning algorithms, gained an additional reduction of 64.8 % in runtime, and reduced the memory requirement up to 75.6 % compared to the full precision implementation.…”
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Dynamic control of a 10 MW solar-autothermal hybrid biomass gasifier for round-the-clock processing with stable syngas production by Axel Curcio, Sylvain Rodat, Valéry Vuillerme, Stéphane Abanades

“…A Model Predictive Control (MPC) algorithm is thus implemented, and the feasibility of hybridized operation is demonstrated on a second-per-second basis. …”
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A novel multivariate decomposition-based hybrid model for interpretable multi-step-ahead daily reference evapotranspiration forecasting by Ali Matoog Obaid Lebawi, Mahnoosh Moghaddasi, Mehdi Mohammadi Ghaleni, Mansour Moradi

“…The analysis indicated that in a hyper-arid climate, the U2 feature has the greatest impact on forecasting, while in a humid climate, Tmean is the most influential factor.…”
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Investigating the impact of fatty acid profiles on biodiesel lubricity using artificial intelligence techniques by Atthaphon Maneedaeng, Attasit Wiangkham, Atthaphon Ariyarit, Anupap Pumpuang, Ekarong Sukjit

“…Feature importance analysis and sensitivity evaluation reveal that polyunsaturated fatty acids significantly enhance lubricity, while an optimal balance between saturated and unsaturated fatty acids is necessary to achieve stable frictional behavior. …”
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Application of Quantum Key Distribution to Enhance Data Security in Agrotechnical Monitoring Systems Using UAVs by Makhabbat Bakyt, Luigi La Spada, Nida Zeeshan, Khuralay Moldamurat, Sabyrzhan Atanov

“…QKD is not an encryption algorithm but a secure key distribution protocol that provides information-theoretic security by leveraging the principles of quantum mechanics. …”
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A Novel Crowdsourcing-Assisted 5G Wireless Signal Ranging Technique in MEC Architecture by Rui Lu, Lei Shi, Yinlong Liu, Zhongkai Dang

“…The proposed framework outperforms traditional static methods by 3× in ranging accuracy while maintaining computational efficiency, achieving significant improvements in environmental adaptability and service scalability.…”
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A robust method to simultaneously place sensors and calibrate parameters for urban drainage pipe system models using Bayesian decision theory by Yuan Huang, Junyi Xiong, Jiangjiang Zhang, Feifei Zheng, Yiran Ji, Hoshin Gupta

“…The UDM is sequentially calibrated using an ensemble smoother algorithm with observation data collected from these strategically placed sensors. …”
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Robot-assisted activities of daily living (ADL) rehabilitation training with a sense of presence based on virtual reality by L. Li, L. Li, T. Lei, T. Lei, J. Li, J. Li, X. Li

“…An inverse kinematics algorithm creates a virtual character to simulate realistic actions and perspective changes. …”
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Multimodal ultrasound deep learning to detect fibrosis in early chronic kidney disease by Xiachuan Qin, Xiaoling Liu, Linlin Xia, Qi Luo, Chaoxue Zhang

“…The AUC of single-mode DL based on gray-scale US, superb microvascular imaging, and strain elastography was 0.682, 0.745, and 0.648, respectively, while that of the multimodal US DL model was 0.86. …”
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Machine Learning-Based Classification and Statistical Analysis of Liver Cancer: A Comprehensive Study of Model Performance and Clinical Significance by Pratyush Kumar MAHARANA, Tapan Kumar BEHERA, Pradeep Kumar NAIK

“…Conclusion: After performing the complete process, we conclude that the extra tree classifier out of 17 models is the most suitable machine learning algorithm for liver cancer prediction. …”
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Lactylation Modification as a Promoter of Bladder Cancer: Insights from Multi-Omics Analysis by Yipeng He, Lingyan Xiang, Jingping Yuan, Honglin Yan

“…The high-risk group was more sensitive to most first-line chemotherapy drugs, while the low-risk group had a better response to immunotherapy. …”
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SD-YOLOv5: a rapid detection method for personal protective equipment on construction sites by ChunYa Li, ChunYa Li, Jianhua Wang, Jianhua Wang, Bingfeng Luo, Tubing Yin, Baohua Liu, Baohua Liu, Jianfei Lu

“…This paper presents SD (Small object detection and DilateFormer attention mechanism)-YOLOv5s, an improved PPE detection algorithm based on YOLOv5s, designed to enhance the detection accuracy of small objects, such as helmets, in complex construction environments. …”
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Closed-loop control of theta oscillations enhances human hippocampal network connectivity by James E. Kragel, Sarah M. Lurie, Naoum P. Issa, Hiba A. Haider, Shasha Wu, James X. Tao, Peter C. Warnke, Stephan Schuele, Joshua M. Rosenow, Christina Zelano, Mark Schatza, John F. Disterhoft, Alik S. Widge, Joel L. Voss

“…We show that repetitive stimulation of lateral temporal cortex synchronized to hippocampal theta increases hippocampal theta while it is delivered, suggesting theta entrainment of hippocampal neural activity. …”
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Assimilating satellite‐based canopy height within an ecosystem model to estimate aboveground forest biomass by E. Joetzjer, M. Pillet, P. Ciais, N. Barbier, J. Chave, M. Schlund, F. Maignan, J. Barichivich, S. Luyssaert, B. Hérault, F. vonPoncet, B. Poulter

“…While mean AGB could be estimated within 10% of AGB derived from census data in average across sites, canopy height derived from Pleiades product was spatially too smooth, thus unable to accurately resolve large height (and biomass) variations within the site considered. …”
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A Multi-Sensor Fusion Approach Combined with RandLA-Net for Large-Scale Point Cloud Segmentation in Power Grid Scenario by Tianyi Li, Shuanglin Li, Zihan Xu, Nizar Faisal Alkayem, Qiao Bao, Qiang Wang

“…A data acquisition scheme that integrates LiDAR and a binocular depth camera, implementing the FAST-LIO algorithm, is proposed to achieve the spatiotemporal synchronization and fusion of sensor data. …”
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