Early Warning of Nerve Agent Release in Large Indoor Environments Based on Encoder-Decoder Coupling Physics-Informed Neural Network by Shuobei Sun, Yang Peng, An Wang, Yiwen Xie, Yang Hu, Zhongyu Hou

“…Extensive experiments are conducted, and the results indicate that our model attains the highest performance among all the algorithms proposed in this paper. The difference between the actual and predicted results is small, and the scatter points are distributed around the fitted curves. …”
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Identification of biomarkers for Laryngeal squamous cell carcinoma through Mendelian randomization and integrated bioinformatics analysis by Pengjian Zhang, Weizhang Chen, Kai Chen, Yuanhang Ye, Weijun Wu

“…The differences in immune landscapes between high-risk and low-risk groups were assessed using the CIBERSORT algorithm, and drug sensitivity was analyzed using the “oncoPredict” package. …”
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Optimization based tumor classification from microarray gene expression data. by Onur Dagliyan, Fadime Uney-Yuksektepe, I Halil Kavakli, Metin Turkay

“…These algorithms usually require parameter optimization to obtain accurate results depending on the type of data. …”
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Automatic Filtering of Sugarcane Yield Data by Eudocio Rafael Otavio da Silva, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Filho

“…A three-step automated filtering algorithm based on a sliding window was developed and further evaluated with four configurations of the maximum variation factor <i>f</i> and six SW sizes. …”
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A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery by Biao Zhang, Zhichao Wang, Boyi Liang, Liguo Dong, Zebang Feng, Mingyang He, Zhongke Feng

“…To improve the stability and accuracy of the classification results, this study proposes a lightweight spatiotemporal classification framework, with the core algorithm being the Spatiotemporal Entropy-based Change Resistance Filter (STECR-F) algorithm. …”
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Development of Experimental Setup to Investigate the Control System for Infusion Solutions Dosing Process by Fedir Matiko, Volodymyr Shaleva

“…The results of research confirmed that using CPU 1215C DC/DC/DC controller, it is possible to achieve the same speed and productivity of the dosing line as when using control systems based on single-chip processors, while significantly expanding the functional capabilities of the system. The algorithm for controlling the process of dosing the infusion solutions was also improved in order to adapt it to controlling the process of dosing the solutions of different viscosities into bottles of different capacities. …”
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Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model by Changjiang Liang, Changjiang Liang, Dandan Liu, Dandan Liu, Weiyi Ge, Weiyi Ge, Wenzhong Huang, Wenzhong Huang, Yubin Lan, Yubin Lan, Yubin Lan, Yongbing Long, Yongbing Long, Yongbing Long, Yongbing Long

“…The improved model demonstrated robust performance in different application scenarios. The proposed target quantity differential strategy effectively reduced the detection error for semi-mature fruits by 12.58%. …”
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Transcriptional landscape of pleural mesothelioma patients in relation to NF2 gene mutational status by Carlos Orozco-Castaño, Alejandro Mejía-Garcia, Hsuan Megan Tsao, Diego A. Bonilla, Carlos Carvajal-Fierro, Ricardo Bruges-Maya, Alba Combita, Rafael Parra-Medina

“…Logistic regression was used to evaluate associations with clinical variables, while transcriptomic differences were examined through differential expression and functional enrichment analyses. …”
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Identification of biomarkers and immune microenvironment associated with heart failure through bioinformatics and machine learning by Jingyun Jin, Jingyun Jin, Shuyan Qin, Qiang Fu, Changzhi Yu, Hongjin Wu, Hongjin Wu, Hongjin Wu

“…Single Sample Gene Set Enrichment Analysis and CIBERSORT algorithm were applied to evaluate immune cell infiltration in HF and its relationship with hub genes.ResultsDifferential analysis identified 165 differentially expressed genes (DEGs), and WGCNA revealed the “blue” module showing a significant correlation with HF. …”
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Research trends and prospects in global riverine carbon fluxes: A bibliometric analysis by Wei Fang, Mohd Remy Rozainy Mohd Arif Zainol, Xianbao Zha, Pingping Luo

“…Future research should further investigate the index quantification, scaling algorithms, and modeling framework of RCFs. This study contributes to holistically understanding the evolution and prevailing trends in the field of RCFs, and better constraining the carbon budgets at the regional or global scales.…”
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Problem-Oriented Foundations of Intelligence in the Context of Superintelligence by Mark Burgin

“…This model is constructed using mathematical theories and algorithmic reasoning. The suggested approach allows the reorganizing of the existing typologies of intelligence developed in works of different psychologists, providing better theoretical tools for intelligence measurement and evaluation.…”
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Nonlinear oscillations of a lumped system with series spring, piezoelectric device, and feedback controller by M. K. Abohamer, T. S. Amer, A. A. Galal, Mona A. Darweesh, A. Arab, Taher A. Bahnasy

“…The system is described by differential and algebraic equations, forming a dynamic model governed by differential-algebraic equations (DAE). …”
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An Indoor Scene Classification Method for Service Robot Based on CNN Feature by Shaopeng Liu, Guohui Tian

“…The experiment results showed that our method was superior to other scene classification methods in terms of accuracy, speed, and robustness. To further evaluate our method, test experiments on unknown scene images from SUN 397 dataset had been done, and the models based on different training datasets obtained 94.34% and 79.80% test accuracy severally, which proved that the proposed method owned good performance in indoor scene classification.…”
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Water distribution from medium-size sprinkler in solid set sprinkler systems by Giuliani do Prado

“…The sixteen water distribution curves were normalized and subjected to clustering analysis (K-Means algorithm), identifying the occurrence of normalized distribution curves with three different geometric shapes. …”
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Coaching as a Tool for the Development Team by M. V. Savelyeva

“…In the first case, the specificity is due to differences between the team and the group. In the second case, we are talking about differences in the algorithm of conducting a coach session, the use of specific tools, the role of specialists in working with the team, the duration of interaction with it, the required level of trust and the ratio of the planned and achieved results. …”
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COPING STRATEGIES IN PATIENTS WITH PROSTATE CANCER by J. R. Gardanova, I. I. Abdullin, D. N. Chernov, A. V. Chernov, Y. I. Kekteeva

“…All men were subjected to the standard algorithm for the evaluation of hormonal status, the PSA, taking a history, inspection and physical examination, magnetic resonance imaging and scintigraphy of bones of a skeleton. …”
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A Reinforcement Learning-Based Double Layer Controller for Mobile Robot in Human-Shared Environments by Jian Mi, Jianwen Liu, Yue Xu, Zhongjie Long, Jun Wang, Wei Xu, Tao Ji

“…We verify the proposed double layer algorithm under different configurations and evaluate its performance based on several metrics, including task success rate, reward, etc. …”
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LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study by Hengrui Liang, Runchen Wang, Ran Cheng, Zhiming Ye, Na Zhao, Xiaohong Zhao, Ying Huang, Zhanpeng Jiang, Wangzhong Li, Jianqi Zheng, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yun Yan, Lei Song, Jie Li, Xin Xu, Wenhua Liang, Jun Liu, Jianxing He

“…Feature selection was performed using differential expressed protein analysis, area under curve (AUC) evaluation and least absolute shrinkage and selection operator (LASSO) regression. …”
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iSentenizer-μ: Multilingual Sentence Boundary Detection Model by Derek F. Wong, Lidia S. Chao, Xiaodong Zeng

“…The system has been extensively evaluated on different languages and text genres and has been compared against two state-of-the-art SBD systems, Punkt and MaxEnt. …”
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The Least Limiting Water Range to Estimate Soil Water Content Using Random Forest Integrated with GIS and Geostatistical Approaches by Orhan Dengiz, Pelin Alaboz

“…Also, the predictability of LLWR was evaluated with the random forest (RF) algorithm, one of the machine learning algorithms, and the usability of the prediction values distribution maps was revealed. …”
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