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  1. 18381
  2. 18382

    Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions by Tarikul I. Milon, Titli Sarkar, Titli Sarkar, Yixin Chen, Jordan M. Grider, Feng Chen, Jun-Yuan Ji, Seetharama D. Jois, Konstantin G. Kousoulas, Vijay Raghavan, Wu Xu

    Published 2025-03-01
    “…However, the field of computational biology has faced substantial challenges due to the lack of methods for precise protein structural comparisons and accurate prediction of molecular interactions. In our previous studies, we introduced the Triangular Spatial Relationship (TSR)-based algorithm, which represents a protein’s 3D structure using a vector of integers (keys). …”
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  3. 18383

    Static stress triggering of Morocco M 6.9 earthquake on 9 September 2023 by WANG Runyan, WAN Yongkui, GUAN Zhaoxuan, HUANG Shaohua, GU Peiyuan, SONG Zeyao, ZHOU Mingyue

    Published 2025-02-01
    “…It contributes to enhancing earthquake monitoring, prediction, and risk mitigation capabilities, promotes the formulation of relevant policies, and safeguards people's lives and property. …”
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  4. 18384

    Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications by Can Qi, Can Qi, Ziwei Zhao, Lin Chen, Le Wang, Yun Zhou, Guochen Duan, Guochen Duan

    Published 2024-11-01
    “…This stratification might provide insight into the prediction of prognosis and ideal immunotherapy strategies for patients with NB. …”
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    Article
  5. 18385
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    TSHD: Topic Segmentation Based on Headings Detection (Case Study: Resumes) by Majd E. Tannous, Wassim H. Ramadan, Mohanad A. Rajab

    Published 2023-01-01
    “…We apply the algorithm to extract resume segments and identify their topics. …”
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    Article
  7. 18387

    Blockchain-Empowered UAV-Assisted Computation Resource Allocation in Smart Farm Services Platform by Sida Huang, Matilda Isaac, Yuan Gao, Yuji Dong, Jie Zhang, Bintao Hu

    Published 2025-01-01
    “…This is achieved by devising a Q-learning-based optimisation algorithm, which is called a Q-learning-based latency reduction optimisation algorithm (QLROA). …”
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  8. 18388

    Optimization of drilling parameters to minimize delamination in CNT-filled GFRP composites using machine learning by Aveen K P, Ullal Vignesh Nayak, K M Pranesh Rao, Shivaramu H T, V Londhe Neelakantha, Shashikumar C M

    Published 2025-09-01
    “…A machine learning based multi-output random forest regression model with hyper parameter tuning was used to predict the T, F, and delamination factor (Fd). The algorithm showed that the most important parameter that influenced delamination was speed (s) followed by the feed rate (f) and filler content respectively. …”
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  9. 18389

    Estimation of the water content of needles under stress by Erannis jacobsoni Djak. via Sentinel-2 satellite remote sensing by Jiaze Guo, Xiaojun Huang, Xiaojun Huang, Xiaojun Huang, Debao Zhou, Junsheng Zhang, Gang Bao, Gang Bao, Siqin Tong, Siqin Tong, Yuhai Bao, Yuhai Bao, Dashzebeg Ganbat, Dorjsuren Altanchimeg, Davaadorj Enkhnasan, Mungunkhuyag Ariunaa

    Published 2025-04-01
    “…Multiple vegetation indices are screened via recursive feature elimination cross validation (RFECV), and then support vector regression (SVR) and back-propagation neural network (BP) models are used to predict the leaf weight content fresh (LWCF) and leaf weight content dry (LWCD) of needles over a large area. …”
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    Enhancing the Accuracy of Image Classification for Degenerative Brain Diseases with CNN Ensemble Models Using Mel-Spectrograms by Sang-Ha Sung, Michael Pokojovy, Do-Young Kang, Woo-Yong Bae, Yeon-Jae Hong, Sangjin Kim

    Published 2025-06-01
    “…The proposed ternary classification algorithm integrates the predictions of binary CNN classifiers through a majority voting ensemble strategy. …”
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  12. 18392
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    Exploring biomarkers and molecular mechanisms of Type 2 diabetes mellitus promotes colorectal cancer progression based on transcriptomics by Simin Luo, Yuhong Zhu, Zhanli Guo, Chuan Zheng, Xi Fu, Fengming You, Xueke Li

    Published 2025-02-01
    “…The relationship of key genes with immune cells and other cells was evaluated by immune infiltration algorithm and single-cell transcription analysis. Drug prediction was performed by cMAP and the obtained drugs were molecularly docked with the key genes. …”
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  14. 18394

    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

    Published 2025-04-01
    “…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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  15. 18395

    Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases by Benjamin Böttcher, Marly van Assen, Roberto Fari, Philipp L. von Knebel Doeberitz, Eun Young Kim, Eugene A. Berkowitz, Felix G. Meinel, Carlo N. De Cecco

    Published 2025-01-01
    “…A CBIR application provides condensed information about similar HRCT cases reducing time for ILD assessment. CBIR algorithms benefit from the input of multiple regions of interest per ILD case. …”
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  16. 18396

    Control Directo de Potencia Predictivo Robusto con Sincronismo Intrínseco by J.R. Fischer, S.A. González, I. Carugati, M.G. Judewicz, D.O. Carrica

    Published 2015-04-01
    “…Palabras clave: Control Directo de Potencia, Control de Corriente Predictivo Robusto, Inversor de Tensión Controlado en Corriente, Distorsión Armónica., Keywords: Deadbeat Predictive Current Control, Grid-Tied Three-Phase Voltage Source Inverter, Direct Power Control.…”
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    Adolescent dropouts’ functioning in relationships with parents and peers by Ewa Rzechowska

    Published 2024-10-01
    “…Generalizations are made based on the decision tree generated by Quinlan’s algorithm. Based on it, a model of the variant modes of adolescent dropouts’ functioning is constructed. …”
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