On Predictive Modeling for the Al2O3 Data Using a New Statistical Model and Machine Learning Approach by Mahmoud El-Morshedy, Zahra Almaspoor, Gadde Srinivasa Rao, Muhammad Ilyas, Afrah Al-Bossly

“…To evaluate their forecasting performances, three statistical measures of accuracy, namely, root-mean-square error (RMSE), mean absolute error (MAE), and Akaike information criterion (AIC) are computed.…”
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PERSPECTIVES OF THE METHODS DEVELOPMENT FOR AIRCRAFT MAINTAINABILITY CERTIFICATION by Yu. A. Yaloza, A. N. Petrov

“…Mentioned requirements and methods relevance are related to the fact that aircraft continuing airworthiness at the operational stage is possible only with a reasonable combination of the maintenance documentation instructions for continuing airworthiness of a type design and the required level of its maintainability, which both meet the minimum requirements of airworthiness standards. Deficiencies in those requirements and means of compliance have notable influence on the safety and effectiveness of air transportation. …”
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Tax Deductions: Nature and Application Problems by M. A. Polyakova, A. V. Nosov

“…In the work’s course, the authors used abstract-logical, computational-analytical, monographic and experimental methods. …”
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Meta-Learning-Based Prediction of Different Corn Cultivars from Color Feature Extraction by Abdullah Beyaz, Dilara Gerdan

“…Because of this reason, in the study, a computer image analysis technique was applied on three corn cultivars. …”
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An intelligent spam detection framework using fusion of spammer behavior and linguistic. by Amna Iqbal, Muhammad Younas, Muhammad Kashif Hanif, Muhammad Murad, Rabia Saleem, Muhammad Aater Javed

“…SD-FSL-CLSTM framework apparently shows the promising result by obtaining a minimum accuracy 97%.…”
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Adaptive delta modulation method for arbitrary adaptation coefficients in the sensor network of the mobile ECG monitoring by О. В. Тимченко, В. І. Лозинський

“…The article presents a method for arbitrary adaptation coefficients which provides a minimum absolute error on the nth sampling interval. …”
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Development of the design of mobile solar power plant by P. I. Savelov, Yu. E. Livshic

“…Research and development of a solid-state model of the mobile solar power plant were done using the SolidWorks computer-aided design system. The design optimization for the solar power plant was carried out using computer engineering research. …”
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Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis by Omneya Attallah

“…It also applies feature selection based on minimum redundancy maximum relevance to the integrated deep and handcrafted features, guaranteeing optimal computational efficiency and high diagnostic accuracy. …”
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Kinematic Optimization of a Flexible Wing Undergoing Flapping and Pitching by Yue Wu, Changchuan Xie, Yang Meng, Chao Yang

“…A bionic numerical wing with an aspect ratio of 6.5, chord Reynolds number of 1.9 × 105, and reduced frequency less than 0.1 is investigated in kinematic optimization. The computational aeroelasticity framework is combined with a global optimization algorithm to identify the optimal kinematics that maximize the propulsive efficiency under the minimum average lift constraint. …”
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Object-topological modeling of electrical networks by I. A. Golovinskii

“…Classification and simplification of graph analysis algorithms is carried out with selection of a minimum set of basic operations on graphs and expression of algorithms through these operations. …”
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Numerical and artificial neural network inspired study on step-like-plenum battery thermal management system by Olanrewaju M. Oyewola, Emmanuel T. Idowu

“…Artificial Neural Network (ANN) approach was then employed to predict the BTMSs’ performance for additional values of Ti and Vi. Minimum temperature (Tmin), maximum temperature (Tmax), maximum temperature difference (ΔTmax) and pressure drop (ΔP) were computed. …”
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TDV-optimization: A novel numerical method for phytosociological tabulation by Tiago Monteiro-Henriques

“…TDV-optimization may lead to partitions where outlier or extreme relevés are isolated in groups; however, enforcing a minimum group size can highlight partitions with more balanced group sizes. …”
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EFFECT OF THE FILL VENTILATION WINDOW ON PERFORMANCE OF A NATURAL DRAFT COOLING TOWER SUBJECTED TO CROSS-WINDS by K. V. Dobrego

“…The numerical model and computational methods were tested and verified in numerous previous works. …”
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Constellation Optimization for MIMO VLC System With Signal-Dependent Noise: Receiver-Side Design and Lookup Table Establishment by Jiaqi Wei, Yuan Wang, Nuo Huang, Yan-Yu Zhang, Yi-Jun Zhu, Wenliang Hao, Chen Gong

“…For the scenario where receiver randomly moves, the constellation lookup table is proposed to transform real-time optimization into table lookup operation, which effectively reduces the real-time computational complexity. Simulation results show that the optimized constellation leads to lower symbol error rate (SER) than the method of maximizing minimum Euclidean distance. …”
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Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning by Bao-Lin Ye, Shiwei Zhu, Lingxi Li, Weimin Wu

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Affordable, biodegradable, and environmentally friendly sanitary napkins for rural women, with a focus on degradation study by Suman Pawar, Roopa Farshi, Asha Gowda Karegowda, Pooja Bhat, Pragathi M S

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A Comparative Study of Dynamic Comparators for Low-Power Successive Approximation ADC by Fei Yuan

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Time series trends and correlations of aerosol optical depth and cloud parameters over Addis Ababa by Getnet Yirga, Demelash Fekrie, Tsegaye Menberu, Yenesew Workineh

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An Efficient Discrete Element Method-Enhanced Mesoscale Modeling Method for Multi-Phase Concrete-like Composites with High Volume Fraction by Penghao Qiu, Lei Yang, Chengjia Huang, Jinzhu Hu, Qingxiang Meng

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DeepLASD countermeasure for logical access audio spoofing by Hamed Al-Tairi, Ali Javed, Tasawer Khan, Abdul Khader Jilani Saudagar

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