Research on Tilt Correction Algorithms of Destorted Data Matrix Code Image by GUAN Bo-yi, DONG Jing-wei, MA Xiao-feng, XU Bo

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Two-test algorithms for infectious disease diagnosis: Implications for COVID-19. by Sunil Pokharel, Lisa J White, Jilian A Sacks, Camille Escadafal, Amy Toporowski, Sahra Isse Mohammed, Solomon Chane Abera, Kekeletso Kao, Marcela De Melo Freitas, Sabine Dittrich

“…We tested the model using hypothetical prevalence data for COVID-19, representing low- and high-prevalence contexts and performance characteristics of RT-PCR and Ag-RDTs. The two-test algorithm when RT-PCR was applied to samples negative by Ag-RDT predicted gains in sensitivity of 27% and 7%, respectively, compared with Ag-RDT and RT-PCR alone. …”
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Application of modified genetic algorithms for solving evolutionary problems of the theory of schedules by D. S. Zakharov

“…The article proposes ways to modify genetic algorithms used to automate the process of scheduling.Method. …”
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Hemisphere mass up to four-loops with generalised $$k_t$$ k t algorithms by Kamel Khelifa-Kerfa, Mohamed Benghanem

“…We compare the resulting resummed expressions for both jet algorithms with the standard Sudakov form factor and demonstrate that neglecting these logarithms leads to unreliable phenomenological predictions for the observable’s distribution.…”
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Semianalytical algorithms to study longitudinal beam instabilities in double rf systems by A. Gamelin, V. Gubaidulin, M. B. Alves, T. Olsson

“…In this paper, we provide semianalytical algorithms designed to predict and analyze these instabilities with improved accuracy and robustness. …”
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A Closer Look at Invalid Action Masking in Policy Gradient Algorithms by Shengyi Huang, Santiago Ontañón

“…In recent years, Deep Reinforcement Learning (DRL) algorithms have achieved state-of-the-art performance in many challenging strategy games. …”
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Self-Stabilizing TDMA Algorithms for Dynamic Wireless Ad Hoc Networks by Pierre Leone, Elad M. Schiller

“…We propose a self-stabilizing MAC algorithm for DynWANs that guarantees a short convergence period, and by that, it can facilitate the satisfaction of severe timing requirements, such as the above. …”
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Efficient Machine Learning Algorithms in Hybrid Filtering Based Recommendation System by . Ruchika, Mayank Sharma, Syed Akhter Hossain

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Battery State of Health Estimation Methods: Implementation and Comparison of 11 Algorithms by Eojin Kim, Sunghun Jung

“…Unlike previous research, this work emphasizes empirical validation using real-world battery datasets and evaluates each algorithm based on predictive accuracy, computational complexity, and practical applicability. …”
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Wind Farm Layout Optimization Problem Using Nature-Inspired Algorithms by Mukesh Kumar, Ajay Sharma, Nirmala Sharma, Fani Bhushan Sharma, Mahendra Bhadu

“…Nowadays, researchers from a variety of fields are developing nature-inspired algorithms (NIAs) to solve difficult real-world problems. …”
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Algorithms of training programs for simulator training of ship's engine room personnel by Vlasov A. B.

“…In the course of simulator practice, the opportunity to develop competencies for working with high-voltage equipment (3–10 kV) of modern ships in accordance with the requirements of the STCW Convention and the STCW Code is of particular importance. Algorithms for training in high-voltage equipment maintenance should be introduced into the educational process to improve the level of qualification of specialists.…”
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Computational Analysis of Self-Healing in Nanomaterials Using Neural Spike Algorithms by Jongho Seol, Jongyeop Kim, Abhilash Kancharla

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Development and validation of multimodal deep learning algorithms for detecting pulmonary hypertension by Wei Zhao, Zhihua Huang, Xiaolin Diao, Zhan Yang, Zhihui Zhao, Yun Xia, Qing Zhao, Zhaohong Sun, Qunying Xi, Yanni Huo, Ou Xu, Jiahui Geng, Xin Li, Anqi Duan, Sicheng Zhang, Luyang Gao, Yijia Wang, Sicong Li, Qin Luo, Zhihong Liu

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Evaluation of the performance of algorithms for synthesizing radar images using Cuda technology by S. V. Kozlov

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Psychological artificial intelligence: Designing algorithms to deal with the uncertainty of rework in construction by Peter E.D. Love, Jane Matthews, Weili Fang

“…Bayesian statistical models cannot be utilized to predict rework as objective, and even subjective probabilities are unknown. …”
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Adaptive algorithms for enhancement of speech subject to a high-level noise by Mariusz LATOS, Marek PAWEŁCZYK

“…One is the line enhancer, where the predictive realisation of the Wiener approach is used. …”
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The methods and algorithms for generating of program trajectories for robotic manipulators of arc welding by M. M. Kozhevnikov, O. A. Chumakov, I. E. Ilushin, L. A. Loboreva

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Quantification of MODIS Land Surface Temperature Downscaled by Machine Learning Algorithms by Qi Su, Xiangchen Meng, Lin Sun, Zhongqiang Guo

“…By establishing non-linear relationships between LST and predictive variables through eXtreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms, the proposed framework was rigorously validated using in situ measurements across China’s Heihe River Basin. …”
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Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data by Sadullah Çelik, Bilge Doğanlı, Mahmut Ünsal Şaşmaz, Ulas Akkucuk

“…Subsequently, classification algorithms are used to predict the cluster membership and the accuracy scores obtained serve as an indirect measure of the clustering quality. …”
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A Review on Automated Detection and Identification Algorithms for Highway Pavement Distress by Zhenglong Lv, Zhexin Hao, Yuhan Zhu, Cong Lu

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