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    Lively Cuckoo Bee (suggested common name) Nomada fervida Smith (Insecta: Hymenoptera: Apidae) by Jason L. Williams, Cameron Jack, Jamie Ellis

    Published 2017-12-01
    “…Williams, Cameron Jack, and Jamie Ellis, and published by the UF Entomology and Nematology Department, December 2017. EENY691/IN1191: Lively Cuckoo Bee (suggested common name) Nomada fervida Smith (Insecta: Hymenoptera: Apidae) (ufl.edu) …”
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  7. 4067

    Lively Cuckoo Bee (suggested common name) Nomada fervida Smith (Insecta: Hymenoptera: Apidae) by Jason L. Williams, Cameron Jack, Jamie Ellis

    Published 2017-12-01
    “…Williams, Cameron Jack, and Jamie Ellis, and published by the UF Entomology and Nematology Department, December 2017. EENY691/IN1191: Lively Cuckoo Bee (suggested common name) Nomada fervida Smith (Insecta: Hymenoptera: Apidae) (ufl.edu) …”
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    Article
  8. 4068
  9. 4069

    Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya by Yashon O. Ouma, Clinton O. Okuku, Evalyne N. Njau

    Published 2020-01-01
    “…The performance of the FNN model is compared with the multiple linear regression (MLR) model. For both FNN and MLR models, the use of the eight water quality parameters yielded the best DO prediction results with respective Pearson correlation coefficient R values of 0.8546 and 0.6199. …”
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  10. 4070

    INFLUENCE OF CHANGESIN AMINO ACID COMPOSITION OF BLOOD PROTEIN HYDROLYSATE ON THE PRODUCTIVITY OF ВНК-21/2-17 CELL LINEAGE AND AMOUNT OF FMDV IMMUNOGENIC COMPONENTS by M. A. Shevchenko, M. N. Guseva, D. A. Lozovoy, M. I. Doronin, D. V. Mikhalishin, V. V. Mikhalishin

    Published 2018-05-01
    “…The dependence of  ВНК-21/2-17 cell lineage productivity on the season of hydrolysate raw material preparation was observed. …”
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  11. 4071

    Credit Risk Assessment for Small and Microsized Enterprises Using Kernel Feature Selection-Based Multiple Criteria Linear Optimization Classifier: Evidence from China by Yimeng Wang, Yunqi Zhang

    Published 2020-01-01
    “…Furthermore, we improve the multiple criteria linear optimization classifier (MCLOC) by introducing the one-norm kernel feature selection and thereby establish the kernel feature selection-based multiple criteria linear optimization classifier (KFS-MCLOC). …”
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  12. 4072
  13. 4073

    Analysis of a No Equilibrium Linear Resistive-Capacitive-Inductance Shunted Junction Model, Dynamics, Synchronization, and Application to Digital Cryptography in Its Fractional-Order Form by Sifeu Takougang Kingni, Gaetan Fautso Kuiate, Romanic Kengne, Robert Tchitnga, Paul Woafo

    Published 2017-01-01
    “…A linear resistive-capacitive-inductance shunted junction (LRCLSJ) model obtained by replacing the nonlinear piecewise resistance of a nonlinear resistive-capacitive-inductance shunted junction (NRCLSJ) model by a linear resistance is analyzed in this paper. …”
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  14. 4074

    ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling by Soosan Beheshti, Mahdi Shamsi

    Published 2025-01-01
    “…The hypothesis is chosen from classes with potentially different complexities. Linear regression modeling is an important category of learning algorithms. …”
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    A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system by AL-Wesabi Ibrahim, Jiazhu Xu, Imad Aboudrar, Khaled Alwesabi, Li danhu, Hassan Z. Al Garni, Elhachemi Mammeri, Hossam Kotb, Mohit Bajaj, Shir Ahmad Dost Mohammadi

    Published 2025-01-01
    “…The HHOA is a bio-inspired technique that mimics the motion cycles of an entire herd of horses. Next, the linear active disturbance rejection control (LADRC) was applied to monitor the HHOA’s reference voltage output. …”
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    A new strategy for modelling sonochemical reactors: Coupling of the non-linear Louisnard model with mass and heat transport equations with applications to cavitating viscous fluids by Quinten Goris, Ariana Bampouli, Mohammed Noorul Hussain, Olivier Louisnard, Georgios D. Stefanidis, Tom Van Gerven

    Published 2025-01-01
    “…On the macroscale, different acoustic attenuation models were compared accounting for either linear or non-linear equations. Specifically, viscous losses were implemented in the non-linear Louisnard model, and model predictions were validated against experimental data. …”
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