An Anchor-Free Location Algorithm Based on Transition Coordinates by Jinzhao Fan, Sanjun Liu

“…In addition, the algorithm can also be extended to the field of moving coordinates or three-dimensional spatial positioning, which has broad application prospects.…”
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Transcutaneous auricular vagus nerve stimulation enhanced working memory in older adults with age-related hearing loss by Junyoung Shin, Shinhee Noh, Jimin Park, Sang Beom Jun, Jee Eun Sung

“…WM capacity was assessed using n-back tasks, varying by WM domains (verbal and visuo-spatial) and complexity levels (1-back and 2-back). …”
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Efficient Seismic Denoising Transformer with Gradient Prediction and Parameter-Free Attention by GAO Lei, QIAO Haowei, LIANG Dongsheng, MIN Fan, YANG Mei

“…Suppression of random noise can effectively improve the signal-to-noise ratio (SNR) of seismic data. …”
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Self-Schedule and Self-Distributive MAC Scheduling Algorithms for Next-Generation Sensor Networks by Sheikh Tahir Bakhsh, Muhammad Aman Sheikh, Rayed AlGhamdi

“…The distributive nature of wireless sensor networks (WSNs) poses great challenges for the design of distributive scheduling to maximize network life and spatial reuse of time slot with minimum frame length. …”
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Prediction Model and Knowledge Discovery for Roof Stress in Mined-Out Areas Integrating 3D Scanning Image Features by Yong Yang, Kepeng Hou, Huafen Sun, Linning Guo, Yalei Zhe

“…Furthermore, the use of SHapley Additive exPlanations (SHAP) to interpret the random forest model uncovers new domain knowledge, such as the relationship between spatial patterns and stress concentration. …”
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High-precision positioning of robotic systems on programme trajectories using satellite navigation measurements by S. V. Sokolov, A. I. Okhotnikov, D. V. Marshakov, I. V. Reshetnikova

“…The main challenge in this case is the synthesis of equations of motion of robotic complexes invariant to its type and random conditions of the environment of its functioning. …”
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A novel approach towards the robustness of centrality measures in networks by Jens Dörpinghaus, Vera Weil, Robert Rockenfeller, Meetkumar Pravinbhai Mangroliya

“…Other aspects may also have an effect on data, as many networks include additional layers, e.g.spatial information or archaeological artifacts. This extends to knowledge graphs. …”
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An Innovative Approach for Calibrating Hydrological Surrogate Deep Learning Models by Amir Aieb, Antonio Liotta, Alexander Jacob, Iacopo Federico Ferrario, Muhammad Azfar Yaqub

“…Developing data-driven models for spatiotemporal hydrological prediction presents challenges in managing complexity, capturing fine spatial and temporal resolution, and ensuring model resilience across diverse regions. …”
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Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons by Jiaying He, K. L. Eddie Law

“…However, with the ever-increasing content complexity of images, it would be desirable to rotate these bounding boxes properly to better fit the sizes and shapes of all semantic object locations in images with random orientations. …”
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Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model by Chaimaa Chaoura, Hajar Lazar, Zahi Jarir

“…Road accidents, particularly in urban areas, pose significant challenges due to their complexity and severe consequences. Rapid emergency response is crucial to mitigating their impact, especially for cases requiring urgent medical intervention. …”
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The Study of School Educational Environment in the Context of Ensuring Equal Access to Quality Education by E. V. Ivanova, I. A. Vinogradova, S. A. Zadadaev

“…The data were processed using descriptive statistics methods, dispersion and regression analysis, T-student’s criterion in the modification of Welch.Results and scientific novelty. On the basis of random sample (22 educational complexes), the peculiarities of educational conditions in different Moscow schools were diagnosed; the quality index of their educational environment and its structural components were determined (n = 58). …”
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Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…Conventional susceptibility assessment approaches often rely on expert experience and subjective judgment; alternatively, they encounter difficulties in adequately fitting high-dimensional complex data. As a result, the precise delineation of the actual spatial distribution of areas susceptible to landslides and collapses remains a formidable challenge. …”
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Network dismantling by physical damage by Luka Blagojević, Ivan Bonamassa, Márton Pósfai

“…Abstract It is well-understood that the network structure of complex systems affects their robustness; the role played by the shape of spatially embedded networks, however, is less explored. …”
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Advancing lakes algal chlorophyll estimation in the contiguous USA: A comparative study of machine learning models and satellite data by Md Mamun, Xiao Yang

“…Accurate measurement of chlorophyll-a (CHL-a) in lakes at a macroscale is challenging due to the optical complexity of individual water bodies, which hinders the optimization of conventional bio-optical algorithms. …”
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AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies by István Lakatos, Gergő Bogacsovics, Attila Tiba, Dániel Priksz, Béla Juhász, Rita Erdélyi, Zsuzsa Berényi, Ildikó Bácskay, Dóra Ujvárosy, Balázs Harangi

“…The Morris Water Maze (MWM) is a widely used behavioral test to assess the spatial learning and memory of animals, particularly valuable in studying neurodegenerative disorders such as Alzheimer’s disease. …”
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Needle Beam Generated by a Laser Beam Passing Through a Scattering Medium by Ziyang Chen, Xiansheng Hu, Xuanxuan Ji, Jixiong Pu

“…The propagation of coherent light through an inhomogeneous medium generates a speckle pattern caused by the complex interference of randomly scattered waves. …”
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Reaching the pinnacle of high-capacity optical transmission using a standard cladding diameter coupled-core multi-core fiber by Menno van den Hout, Ruben S. Luís, Benjamin J. Puttnam, Giammarco Di Sciullo, Tetsuya Hayashi, Ayumi Inoue, Takuji Nagashima, Simon Gross, Andrew Ross-Adams, Michael J. Withford, Lauren Dallachiesa, Nicolas K. Fontaine, Roland Ryf, Mikael Mazur, Haoshuo Chen, Jun Sakaguchi, Cristian Antonelli, Chigo Okonkwo, Hideaki Furukawa, Georg Rademacher

“…Here we demonstrate petabit-per-second-class data transmission using a space-division multiplexing fiber that approaches the limits of spatial multiplexing whilst minimizing the required signal processing complexity. …”
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Evaluation of Morphometric Factors on the Distribution of Debris: A Case Study on the Attica Ripples on the South of Paveh- Kermanshah Province, Iran by Mohammad Ahmadi

“…In terms of rock formations, the complex is composed of Sarvak, Garu, Ilam and Amiran. …”
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Fast-RF-Shimming: Accelerate RF shimming in 7T MRI using deep learning by Zhengyi Lu, Hao Liang, Ming Lu, Xiao Wang, Xinqiang Yan, Yuankai Huo

“…Ultrahigh field (UHF) Magnetic Resonance Imaging (MRI) offers an elevated signal-to-noise ratio (SNR), enabling exceptionally high spatial resolution that benefits both clinical diagnostics and advanced research. …”
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LEVERAGING ORGANOID TECHNOLOGIES TO CHARACTERIZE DYNAMIC TUMOR CELL STATES DRIVING TREATMENT RESISTANCE IN PANCREATIC CANCER

“…These organoids display complex, self-organized branching morphogenesis and give rise to distinct, spatially ordered tumor cell populations that reflect their underlying molecular profiles and differentiation states. …”
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