Energy and Spectral Efficiency Analysis for UAV-to-UAV Communication in Dynamic Networks for Smart Cities by Mfonobong Uko, Sunday Ekpo, Ubong Ukommi, Unwana Iwok, Stephen Alabi

“…UAV-to-UAV communication networks, despite their adaptability, have significant limits stemming from onboard battery constraints, inclement weather, and variable flight trajectories. This work presents a thorough examination of energy and spectral efficiency in UAV-to-UAV communication over four frequency bands: 2.4 GHz, 5.8 GHz, 28 GHz, and 60 GHz. …”
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Smart synergistic Fenton oxidation: CCD-optimized pathway for efficient 4-nitrophenol degradation by Neha Pandey, Nayna Agarwal, Prabir Ghosh, Gurudatta Singh, Kapil Kumar

“…A novel aspect of this study is the use of a sustainable, waste-derived heterogeneous catalyst (Fe-loaded fly ash brick clay, Fe-FABC), which promotes both high degradation efficiency and environmental sustainability. Polynomial modeling and surface response plots confirmed strong predictive capabilities for degradation performance under varied conditions. …”
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Analysis of inductive power transfer systems by metamodeling techniques by Pei, Yao, Pichon, Lionel, Bensetti, Mohamed, Le Bihan, Yann

“…For IPT systems, one of the key issues is transmission efficiency, which is greatly influenced by many sources of uncertainty. …”
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Energy-efficient resource allocation scheme for device-to-device communication underlaying LTE-A uplink by Zheng-cang ZHU, Ji-hong ZHAO, Rui TANG, Hua QU, Lu-yao WANG, Zhao-xin CAO

“…To cope with the co-channel interference between cellular links and device-to-device (D2D) links concurrently transmitting with the long term evolution-advanced (LTE-A) uplink spectrum,a joint resource allocation scheme was pro-posed to maximize the global energy efficiency of D2D links.The above problem can be decomposed into the power control subproblem and the channel assignment subproblem.Specifically,the power control subproblem can be optimally solved with the help of Dinkelbach method and Lagrange duality.Based on the above results,the channel assignment subproblem turns out to be the set packing problem which was generally NP-hard problem,Therefore,a heuristic algo-rithm was further devised to achieve a tradeoff between performance and complexity.Simulations show that the proposed joint resource allocation scheme outperforms the ones where only single resource variable is optimized,and it achieves the polynomial-time complexity at only minor performance loss when compared to the global optimum.…”
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Multi-objective design optimization of a transonic axial fan stage using sparse active subspaces by Richard Amankwa Adjei, Chengwei Fan

“…Active subspace was used to compute the active variables via singular value decomposition and a hybrid polynomial correlated function expansion was used to construct a surrogate model on the active subspace. …”
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Nonparametric Estimation Method for the Distribution Function Using Various Types of Ranked Set Sampling by Ramy Ghareeb, Rikan AL khalidi

“…We investigated three different degrees of local polynomial regression: the first, second, and third. …”
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A Numerical Scheme Based on the Chebyshev Functions to Find Approximate Solutions of the Coupled Nonlinear Sine-Gordon Equations with Fractional Variable Orders by MohammadHossein Derakhshan

“…To solve the problem, first, we obtain the operational matrix of the Caputo-Prabhakar fractional derivative of shifted Chebyshev polynomials. Then, this matrix and collocation method are used to reduce the solution of the nonlinear coupled variable-order fractional sine-Gordon equations to a system of algebraic equations which is technically simpler for handling. …”
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Determination of the angular position of the signal source in distributed reception at the background of non-Gaussian noise by T.V. Vorobkalo, O.S. Gavrish, V.V. Filipov, S.S. Martynenko, P.A. Klopotovskyi

“…This is a statistical problem, and it is solved as an estimation of the signal phase in each receiving element using the method of polynomial maximization. This method allows finding the most effective estimates of random variables in the case of non-Gaussian noise, thanks to the use of a moment-cumulative description. …”
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Longitudinal pattern of growth performance and feeding behaviour in pigs fed varying dietary crude protein levels and categorised by final feed efficiency by M.E. van der Heide, J.V. Nørgaard, J.G. Madsen

“…Feed efficiency (FE) estimated on pen level does not take individual feed intake or feeding behaviour into account, and thus, varying response among pen mates is impossible to quantify. …”
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Numerical investigation of fractional order SEIR models with newborn immunization using Vieta–Fibonacci wavelets by Naied A. Nayied, Firdous A. Shah, Mukhtar A. Khanday, Kottakkaran Sooppy Nisar

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Improved Multiverse Optimization Algorithm for Fuzzy Flexible Job-Shop Scheduling Problem by Jin-Cheng Fang, A-Feng Zeng, Shao-Feng Zheng, Wen-Di Zhao, Xu He

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Extension of the First-Order Recursive Filters Method to Non-Linear Second-Kind Volterra Integral Equations by Rodolphe Heyd

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Optimization of PLGA-Doxorubicin Hybrid Nanoparticles using Design of Experiments: Synthesis, Characterization, and Applications by Adina TURCU-STIOLICA, Andrei BITA, Maria Viorica CIOCILTEU

“…Results: Eleven experiments were conducted based on three levels of each independent variable. The experimental data were fitted to a polynomial model, enabling the prediction of the effects of formulation factors on PLGA-doxorubicin hybrid nanoparticles. …”
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Method of restoring multivariable Boolean function from its derivative by Alexander V. Mazurenko, Nadezhda S. Mogilevskaya

“…Boolean functions of several variables are of paramount importance in the coding theory and cryptography. …”
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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…Finally, an efficient maintenance plan that takes into account the predicted failures has been developed using an optimization algorithm. …”
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Maximum principle preserving the unconditionally stable method for the Allen–Cahn equation with a high-order potential by Junseok Kim

“…To solve the nonlinear equation, we applied the frozen coefficient method, which approximates variable coefficients in differential equations by treating them as constants within small regions, simplifies the problem, and enables more efficient numerical solutions. …”
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Nonlinear Secret Image Sharing Scheme by Sang-Ho Shin, Gil-Je Lee, Kee-Young Yoo

“…It is based on a linear combination polynomial arithmetic. Although Shamir's technique based secret image sharing schemes are efficient and scalable for various environments, there exists a security threat such as Tompa-Woll attack. …”
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A Graph-Induced Neighborhood Search Heuristic for the Capacitated Multicommodity Network Design Problem by Houshan Zhang

“…Furthermore, we have developed a novel resource-efficient facility assignment technique that departs from standard variable neighborhood search algorithms. …”
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Empirical Modeling of the Carbonylation of Acetylene for the Synthesis of Succinic Anhydride Using Gas Ratio (CO/C₂H₂) by Collins Ubaka Mordi, Ipeghan Jonathan Otaraku, Ishioma Laurene Egun

“…The linearity connection between the analytical variables was determined by plotting the (CO:C₂H₂) ratio (independent variable) and the yield of the process (dependent variable) against each other. …”
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Gross Tonnage-Based Statistical Modeling and Calculation of Shipping Emissions for the Bosphorus Strait by Kaan Ünlügençoğlu

“…These EPA-estimated values served as dependent variables in the modeling process. The modeling framework followed a three-step strategy: (1) outlier detection using Rosner’s test to reduce the influence of outliers on model accuracy, (2) curve fitting with 12 regression models representing four curve types—polynomial (e.g., linear, quadratic), concave/convex (e.g., exponential, logarithmic), sigmoidal (e.g., logistic, Gompertz, Weibull), and spline-based (e.g., cubic spline, natural spline)—to capture diverse functional relationships between GT and emissions, and (3) model comparison using difference performance metrics to ensure a comprehensive assessment of predictive accuracy, consistency, and bias. …”
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