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  2. 10782

    Improving kinetic model fitting for total titratable acidity in bananas using genetic algorithms by Alejandro Kevin Méndez Castillo, Elizabeth Contreras López, Jesús Guadalupe Pérez Flores, Laura García Curiel, Emmanuel Pérez Escalante, Karla Soto Vega, Carlos Ángel-Jijón, Alicia Cervantes Elizarrarás

    Published 2025-06-01
    “… This research aimed to automate the fitting of kinetic models using genetic algorithms (GAs) to optimize the estimation of kinetic parameters—the reaction rate constant (k) and the initial value of total titratable acidity (TTA, C₀)—and enhance predictive accuracy. …”
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  3. 10783
  4. 10784

    DETERMINAN NILAI PERUSAHAAN (STUDI PADA BANK UMUM YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2015-2019) by Dwi Epty Hidayaty, Wike Pertiwi

    Published 2021-04-01
    “…Hasil penelitian didapatkan pada uji asumsi diketahui bahwa error term sudah memenuhi asumsi normal dan tidak terdapat multikolinearitas dan heteroskedastisitas. …”
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  5. 10785
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    Deep learning based bio-metric authentication system using a high temporal/frequency resolution transform by Sajjad Maleki Lonbar, Akram Beigi, Nasour Bagheri, Nasour Bagheri, Pedro Peris-Lopez, Carmen Camara

    Published 2024-12-01
    “…Furthermore, future research could explore additional preprocessing techniques or alternative deep learning architectures to further improve the performance of ECG-based identity verification systems.…”
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  7. 10787

    Performance Enhancement of V2V Communication by QC-LDPC Code and NOMA-UM-MIMO Techniques by Maryam Mohammed F. Abdullah, Osama Alluhaibi, Asim Egemen Yilmaz, Aykut Kalaycioglu

    Published 2025-01-01
    “…Additionally, mathematical formulations for outage probability in NOMA-MIMO systems indicate that outage probability decreases with increased transmit power as users get closer to the base station. Our research demonstrates that QC-LDPC codes without <inline-formula> <tex-math notation="LaTeX">$Girth_{4}$ </tex-math></inline-formula> cycles significantly enhance error correction capabilities and achieve higher spectral efficiency over Rician fading channels. …”
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  8. 10788
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    DETERMINAN NILAI PERUSAHAAN (STUDI PADA BANK UMUM YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2015-2019) by Dwi Epty Hidayaty, Wike Pertiwi

    Published 2021-04-01
    “…Hasil penelitian didapatkan pada uji asumsi diketahui bahwa error term sudah memenuhi asumsi normal dan tidak terdapat multikolinearitas dan heteroskedastisitas. …”
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    Article
  10. 10790

    Optimal strategy for improved estimation of population mean of sensitive variable using non-sensitive auxiliary variable by Abdullah A. Zaagan, Dinesh K. Sharma, Ali M. Mahnashi, Mutum Zico Meetei, Subhash Kumar Yadav, Aakriti Sharma, Pranav Sharma

    Published 2025-04-01
    “…For a wide range of sensitive research applications, it is advisable to choose an estimator that possesses desirable sample properties and a minimized mean squared error (MSE).…”
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  15. 10795

    A Hybrid Deep Learning–Based Approach for Visual Field Test Forecasting by Ashkan Abbasi, PhD, Sowjanya Gowrisankaran, PhD, Wei-Chun Lin, MD, PhD, Xubo Song, PhD, Bhavna Josephine Antony, PhD, Gadi Wollstein, MD, Joel S. Schuman, MD, Hiroshi Ishikawa, MD

    Published 2025-09-01
    “…Main Outcome Measures: Mean absolute error between predicted and actual VF test results was evaluated using five-fold cross-validation. …”
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  16. 10796

    Leveraging Large Language Models for Discrepancy Value Prediction in Custody Transfer Systems: A Comparative Analysis of Probabilistic and Point Forecasting Approaches by Fiki Hidayat, Arbi Haza Nasution, Fajril Ambia, Dike Fitriansyah Putra, Mulyandri

    Published 2025-01-01
    “…The evaluation covers metrics such as Weighted Quantile Loss (WQL), Scaled Quantile Loss (SQL), Mean Absolute Error (MAE), Symmetric Mean Absolute Percentage Error (SMAPE), and Root Mean Square Error (RMSE). …”
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  17. 10797
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    Cover interpolation functions and h-enrichment in finite element method by H. Arzani, E. Khoshbavar rad, M. Ghorbanzadeh

    Published 2017-09-01
    “…Mesh improvment is done through h-refinement for the elements existing in those regions. Total error of the domain is thus reduced and limited to the allowable range. …”
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