A novel comprehensive metric balancing imaging dose and setup accuracy in image-guided radiotherapy: concept proposal and clinical validation by Jiang Liu, Xinhui Fu, Xinhui Fu, Zhiyao Luo, Chuou Yin, Qiao Li, Xigang Fan, Tian Li, Chen Lin, Shouping Xu, Yibao Zhang, Yibao Zhang

“…The consistency between the online and offline results was used as a surrogate of the missing ground-truth of registration accuracy, which was usually developed by introducing ‘known’ setup errors and rescan the phantoms, yet is ethnically not applicable to real patients. …”
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Gridless DOA Estimation with Extended Array Aperture in Automotive Radar Applications by Pengyu Jiang, Silin Gao, Jie Zhao, Zhe Zhang, Bingchen Zhang

“…When targets are off-grid, significant off-grid errors can occur. To address this issue, we propose an automotive radar sparse reconstruction algorithm based on accelerated Atomic Norm Minimization (ANM). …”
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Construction and application of foundational models for intelligent processing of microseismic events in mines by Anye CAO, Maotao LI, Xu YANG, Yao YANG, Sen LI, Yaoqi LIU, Changbin WANG

“…Field application at a rockburst-prone coal face in Gansu Province confirmed the model’s engineering effectiveness, enabling fully automated processing from event detection to source localization (errors <50 ms) and mechanism inversion. …”
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Lossy-and-Constrained Extended Non-Local Games with Applications to Quantum Cryptography by Llorenç Escolà-Farràs, Florian Speelman

“…We give applications of this result, and we compute SDPs that show tighter security of protocols for relativistic bit commitment, quantum key distribution, and quantum position verification.…”
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Nonlinear Output Regulation with Input Delay and Application in AHV Attitude Control by Liang Cai, Qingxian Wu

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Research and Application of One-step Computational Method for High Flux Reactor by XUE Pengchao1, ZHANG Qian2, ZHANG Jinchao1, ZHAO Qiang1, CAO Wei2, XIE Chutao2

“…High flux reactors, as versatile irradiation facilities, have significant applications in various fields such as neutron scattering research, isotope production, and material irradiation testing. …”
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Mixed Effects Models with Censored Covariates, with Applications in HIV/AIDS Studies by Lang Wu, Hongbin Zhang

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A New Extended Rayleigh Distribution with Applications of COVID-19 Data by Aadil Ahmad Mir, S. P. Ahmad

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Voice Control in Calorie Tracker Application using Levenshtein Distance Algorithm by Daniel Halim, Seng Hansun

“…In addition, this application also uses Levenshtein Distance algorithm to correct food recognition errors which is spoken by user. …”
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Study on Application of Grey Prediction Model in Superalloy MAR-247 Machining by Chen Shao-Hsien

“…Moreover, with the superalloy machining parameters of the current effective application improved grey prediction model, it can decrease the errors, extend the tool life, and improve the prediction precision of surface accuracy.…”
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On the Effect of Correlated Sways on Generalized Misalignment Fading for Terrestrial FSO Links by Ruben Boluda-Ruiz, Antonio Garcia-Zambrana, Beatriz Castillo-Vazquez, Carmen Castillo-Vazquez

“…In the current paper, we generalize this previous approach by misalignments with correlated sways since both the horizontal displacement and the elevation are not necessarily uncorrelated RVs in potential FSO applications. A statistical pointing error model is proposed, where not only is the laser beam width, detector size, and the effect of nonzero boresight and different jitter variances for each axes taken into account, but the effect of correlated sways is also taken into account. …”
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Efficient Multiplicative Calculus-Based Iterative Scheme for Nonlinear Engineering Applications by Mudassir Shams, Nasreen Kausar, Ioana Alexandra Șomîtcă

“…The analysis includes the total number of functions and derivative evaluations per iteration, elapsed time, residual errors, local computational order of convergence, and error graphs, which demonstrate our method’s better convergence behavior when compared to other approaches.…”
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Current status and future prospects of the application of artificial intelligence in clinical practice by LI Xinyu, YUAN Qian, ZHU Fenglei, YANG Tao

“…At the same time, issues have emerged, such as the value conflict between medical data privacy protection and the need for cross - institutional sharing, the theoretical opposition between the "black box "nature of algorithms and the principle of clinical decision-making transparency, and the dilemma of unclear responsibility in cases of AI- assisted diagnosis and treatment errors. This paper reviews the progress of AI applications in clinical medicine, analyzes and summarizes the opportunities and challenges faced, and proposes future trends and research directions, aiming to provide insights for AI research and applications in clinical medicine. …”
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Determination of heavy metals in soil and biomass by the application of potentiometric stripping analysis by Dragan M. Stević, Ignjatović Ivana Sredović

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Comparative Analysis of Machine Learning Techniques for Prediction of the Compressive Strength of Field Concrete by Omobolaji Opafola, Abisola Olayiwola, Ositola Osifeko, Adekunle David, Ajibola Oyedejı

“…The developed GB model achieved R-squared values of 91.60%, 91.43%, and 90.18% for the 10-fold, 5-fold, and 3-fold cross-validations, respectively, with mean absolute error, root mean squared error, and mean absolute percentage error values of 2.6776, 4.3523, and 9.19%, respectively. …”
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Machine learning‐based investigations of the effect of surface texture geometry on the wear behaviour of UHMWPE bearings in hip joint implants by Vipin Kumar, Ravi Prakash Tewari, Anubhav Rawat

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Non-Invasive Glucose Monitoring Technologies Innovations Applications and Future Directions by Wu Kerui

“…Current technical bottlenecks manifest as individual calibration variation coefficients exceeding 12% and blood-interstitial fluid glucose lag (8-15 minutes), with emerging solutions trending toward deep learning-based dynamic compensation models (83% error correction) and terahertz quantum cascade detection (0.1mmol/L detection limit).…”
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Neutrosophic Formulation of the Quadratic Transmuted Generalized Exponential Distribution: Properties and Applications by Kumarapandiyan Gnanasegaran, Benitta Susan Aniyan, Benitta Susan Aniyan

“…The study derives various mathematical properties of the model, assesses parameter estimation using maximum likelihood and simulation, and demonstrates practical applications with cancer remission data. Simulation results reveal that Neutrosophic Average Biases (NABs) and Neutrosophic Mean Square Errors (NMSEs) decrease as sample sizes increase, indicating strong and accurate parameter estimation. …”
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Application of deep reinforcement learning in parameter optimization and refinement of turbulence models by Zhan Zhang

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Optimization strategy of virtual machine online migration with awareness of application characteristics and network bandwidth migration by Xiang LI, Ning-jiang CHEN, Shang-lin YANG, Hua LI

“…Firstly the experiments to verify the relationship between the number of dirty memory pages and application characteristics which exist in virtual machine migration was conducted.Then,different virtual machine application characteristics were perceived,with which the number of dirty memory pages produced during the migrations was predicted by the use of GM(1,N) grey prediction model.At the same time,using residual correction to adjust error makes results more reliable.According to the prediction of memory dirty pages,network bandwidth was adjusted and reserved.Compared with the traditional pre-copy strategy,the given experiments show that the optimized strategy proposed can improve the performance of network and reduce migratory cost for the memory-intensive and network-intensive applications.…”
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