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  1. 1661

    Peramalan Beban Jangka Panjang pada Gardu Induk Bangil dengan Metode Generalized Regression Neural Network by Ali Rizal Chaidir

    Published 2024-11-01
    “…This research employed a STL Decomposition to decompose monthly peak load data in each transformer into trend, seasonal and residual components and developing forecasting model for each transformer trend component data. …”
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  2. 1662

    LDA-SCGB: inferring lncRNA-disease associations based on condensed gradient boosting by Chengqiu Dai, Linna Wang, Yingwei Deng, Xuzhu Gao, Jingyu Zhang

    Published 2025-07-01
    “…LDA-SCGB first extracts features of each lncRNA-disease pair with singular value decomposition. Next, it classifies unknown lncRNA-disease pairs through the condensed gradient boosting model. …”
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  3. 1663

    Optimization of TECIS LiDAR waveform metrics for forest height estimation by Xiaojun Liang, Yong Pang, Cangjiao Wang

    Published 2025-08-01
    “…To accurately estimate canopy height using waveform data, two critical steps are identifying the effective signal range based on signal threshold settings and selecting the optimal waveform metrics processing method. The choice of waveform threshold settings and metrics calculation methods directly affects the accuracy of canopy height estimation.To optimize threshold settings and identify suitable waveform metrics calculation methods, this study focused on the northern forest region of China, using airborne laser scanning (ALS) data as a reference to evaluate TECIS canopy height estimation approaches. …”
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  4. 1664

    Nomogram combining dual-energy computed tomography features and radiomics for differentiating parotid warthin tumor from pleomorphic adenoma: a retrospective study by Zhiwei Gong, Jianying Li, Yilin Han, Shiyu Chen, Lijun Wang

    Published 2025-03-01
    “…Radiomic features were extracted from segmented regions of interest and filtered using the K-best and least absolute shrinkage and selection operator. Radiomic models based on 70 keV VMIs and material decomposition images were developed using logistic regression (LR), support vector machine (SVM), and random forest (RF). …”
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  5. 1665

    STRUCTURE OF METHODOLOGY OF CURRENT PLANNING OF WORK OF CARGO TRANSPORT ENTERPRISE by L. S. Trofimova, N. G. Pevnev

    Published 2018-02-01
    “…The structural-functional representation about the object is used for the  study, and the model for the analysis of the labor process serves as the basis for the decomposition, and takes into account the ATP operation in the current mode.Results. …”
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  6. 1666

    Use of granular computing for resource optimization in IoT networks by Jaime Govea, Rommel Gutierrez, William Villegas-Ch

    Published 2025-04-01
    “…Existing optimization methods often fail to adapt in real-time or scale adequately under variable conditions, exposing a critical gap in resource management strategies for dense deployments. …”
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  7. 1667

    How lifespan and life years lost equate to unity by Annette Baudisch, Jose Manuel Aburto

    Published 2024-04-01
    “…It can reveal macro-level regularities that may aid development of novel forecasting methods in the future. It could also support more comparative research across species by quantifying the relative impact of the environment on species’ life histories. …”
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  8. 1668

    Testing keratolytic effect of carbamide in various vehicles by Toskić-Radojičić Marija

    Published 2002-01-01
    “…The aim of this work was to experimentally estimate the influence of the vehicle upon the proteolytic effect of urea on keratin in the human hair model. Methods. Hair geometrical properties, the change in longitudinal mass, and the change of disruptive force and disruptive hair elongation were measured. …”
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  9. 1669

    Pyrolysis kinetics-dependent suitability of Al-based MOFs (CAU-10) for controlling amorphous γ-Al2O3 generation by Donald Raoul Tchuifon Tchuifon, Lucresse Kora Tioma Nguena, Giscard Doungmo, Sandrale Grace Mokue Mafo, Frank Dorinel Solefack Feudjio, Cyrille Ghislain Fotsop

    Published 2025-06-01
    “…The apparent activation energy Ea was evaluated using the iterative isoconversional method. The values of these energies related to the first step (deshydration) and the second step (framework destruction) for the thermal decomposition of CAU-10 reached 35 and 217 kJ/mol, respectively. …”
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    Article
  10. 1670

    Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers. by Kenta Ninomiya, Hidetaka Arimura, Wai Yee Chan, Kentaro Tanaka, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng

    Published 2021-01-01
    “…The BN-based model was compared to conventional original image (OI)- and wavelet-decomposition (WD)-based models with respect to the RI between the validation and the test.…”
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  11. 1671

    Global, regional, and national burden of congenital musculoskeletal and limb anomalies, 1990–2021: a systematic analysis of the global burden of disease in 2021 by Yu Luo, Rubin Zheng, Jiaxi Chen, Miao Deng, Ziyang Zhang, Zhouke Tan, Zhixun Bai

    Published 2025-05-01
    “…This study delineates the epidemiology and temporal evolution of CML anomalies from 1990 to 2021. Methods We extracted data from the 2021 global burden of disease (GBD) Study, stratifying by sex, region, country and socio-demographic index (SDI). …”
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  12. 1672

    Global and regional burden of four drug use disorders in the elderly, 1990 to 2021: an analysis of the global burden of disease study by Bochao Jia, Rui Wei, Zhiqi Li, Meiyu Feng, Mengxue Wang, Chongjun Zhao, Yi Wei, Zhenquan Liu, Yuanhui Hu

    Published 2025-07-01
    “…Finally, apply the Nordpred model to predict DALYs for global and high-burden regions from 2022 to 2035. …”
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    Article
  13. 1673

    A novel brain MRI classification framework integrating tuned single scale retinex and empirical wavelet entropy features by Paravathanani Rajendra Kumar, Krishna Prakash, Buraga Ram Sai Teja, Kota Akhil Manoj, Adi Bhuvaneswar, Divvela David Syam Kumar, Shonak Bansal, Sandeep Kumar, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

    Published 2025-08-01
    “…This study proposes a novel brain MRI image classification framework involving image enhancement, adaptive decomposition, statistical feature extraction, and a supervised classification method. …”
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  14. 1674

    Wind Power Forecasting Based on Multi-Graph Neural Networks Considering External Disturbances by Xiaoyin Xu, Zhumei Luo, Menglong Feng

    Published 2025-06-01
    “…Though much progress has been achieved in deep learning approaches, existing methods cannot effectively decompose and model intertwined spatio-temporal dependencies. …”
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  15. 1675

    Contemporary epidemiological landscape of pediatric non-Hodgkin lymphoma: a global burden of disease analysis by Xiaobo Luo, Pin Xie, Min Zhou, Yi Xia, Yu Gao, Hui Li

    Published 2025-06-01
    “…Multiple analytical methods were used, including Joinpoint regression, age-period-cohort analysis, decomposition analysis, frontier analysis, health equity analysis, and Bayesian age-period-cohort (BAPC) model.ResultsIn 2021, the global age-standardized prevalence rate was 3.177/100,000, with a disability adjusted life year (DALY) rate of 13.535/100,000. …”
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  16. 1676

    A Novel Open Circuit Fault Diagnosis for a Modular Multilevel Converter with Modal Time-Frequency Diagram and FFT-CNN-BIGRU Attention by Ziyuan Zhai, Ning Wang, Siran Lu, Bo Zhou, Lei Guo

    Published 2025-06-01
    “…To solve this problem, an intelligent diagnosis method is proposed to integrate the modal time–frequency diagram and FFT-CNN-BiGRU-Attention. …”
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    Article
  17. 1677

    Prediction of remaining service life of lithium battery based on VMD-MC-BiLSTM by Meng Guangxiong, Liang Zhongnan, Mou Zhongyi

    Published 2024-12-01
    “…This study proposes a method for predicting the remaining life of lithium-based batteries based on a hybrid neural network. …”
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    Article
  18. 1678

    Implementation of Adaptive Short Time Fourier Transform and Sigmoid based Kernel Support Vector Machine for Radar Signal Identification by AHMAD Ashraf Adam, MUHAMMAD Farouk Isah

    Published 2025-05-01
    “…Distinguishing between simple pulsed and Low Probability of Intercept (LPI) radar signals is crucial for various applications, including radar signal identification and electronic warfare. Existing methods often struggle with achieving high accuracy, and bridging computational complexity, particularly in low signal-to-noise ratio (SNR) environments. …”
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  19. 1679

    High entropy spinel oxide for natural sunlight-driven photocatalytic degradation of methylene blue: a sustainable water remediation process by Soumyadeep Sur, Nikhil Vekariya, Shikhar Krishn Jha, Jignesh Valand

    Published 2025-05-01
    “…The oxide catalyst with a nominal composition (CoCrFeMnNi)3O4 was prepared by a modified sol-gel method followed by a heat treatment at 950 °C. The synthesized powder was characterized for its composition, morphology, and photocatalytic activity. …”
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  20. 1680

    Applications of the addition of hydrogen peroxide solution on methane premixed combustion by Annas Fauzy, Guan-Bang Chen, Ta-Hui Lin

    Published 2025-09-01
    “…The flame speed was measured using the flame area method with the unburned gas temperature of 423 K. …”
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