Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. by Ridhanya Sree Balamurugan, Yusuf Asad, Tommy Gao, Dharmakeerthi Nawarathna, Umamaheswara Rao Tida, Dali Sun

“…Advanced data preprocessing techniques and ML algorithms to learn patterns from the absorption profiles that distinguish different amino acids were investigated to prove the feasibility of this approach. …”
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Light Manipulation by Single Cells: The Case of Diatoms by Edoardo De Tommasi

“…The present paper reviews the most relevant studies on optical and photonic properties of diatoms that have been performed throughout the last years making use of SEM characterizations, transmittance measurements at different wavelengths, holographic microscopy, Raman spectroscopy and imaging, photoluminescence spectroscopy, and the predictive support of different numerical simulation algorithms.…”
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Reconstruction of Multiple Strings of Constant Weight from Prefix–Suffix Compositions by Yaoyu Yang, Zitan Chen

“…Additionally, we present two algorithms for reconstructing strings from the compositions of prefixes and suffixes of constant-length constant-weight strings.…”
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Semi-Online Scheduling on Two Machines with GoS Levels and Partial Information of Processing Time by Taibo Luo, Yinfeng Xu

“…Respectively, for the three semi-online versions, we develop algorithms with competitive ratios of 3/2, 20/13, and 4/3 which are shown to be optimal.…”
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Calculation of Electric Contact Heating on the Basis of Two-Dimensional Temperature Field Model by A. N. Gerasimovich, D. A. Gerasimovich, Yu. A. Klimovich

“…Two-dimensional temperature field model is proposed to calculate flat contact heating. Numerical algorithms for calculation of contact temperature have been developed on the basis of finite-difference method. …”
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Comparison of Predictive Control Methods for High Consumption Industrial Furnace by Goran Stojanovski, Mile Stankovski

“…In order to demonstrate the benefits from implementation of the advanced predictive control algorithms, we have compared several major criteria for furnace control. …”
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Learning Discriminative Salient LBP for Cloud Classification in Wireless Sensor Networks by Shuang Liu, Zhong Zhang

“…The experimental results show that the proposed algorithm achieves better results than other state-of-the-art cloud classification algorithms in WSN.…”
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New Investigation for the Liu-Story Scaled Conjugate Gradient Method for Nonlinear Optimization by Eman T. Hamed, Rana Z. Al-Kawaz, Abbas Y. Al-Bayati

“…Our numerical experiments show that the new proposed algorithms are more stable and economic as compared to some well-known standard CG methods.…”
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Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree Decomposition by Issam Dagher, Catherine Taleb

“…It will be shown that this new algorithm is comparable to other algorithms like BM3D, LPG-PCA, and KSVD.…”
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Single Machine Predictive Scheduling Using Inserted Idle Times by Hongli Zhu, Hong Zhou

“…The computational experiments show that these algorithms provide high predictability with minor sacrifices in shop performance.…”
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Application and research prospects of artificial intelligence in breast cancer pathological diagnosis by DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu

“…With the advent of digital pathology slide scanners and the continuous evolution of deep learning algorithms, there has been a significant advancement in the application of artificial intelligence (AI) in the diagnosis and treatment of breast cancer. …”
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Bifurcation of a Microelectromechanical Nonlinear Coupling System with Delay Feedback by Yanqiu Li, Wei Duan, Shujian Ma, Pengfei Li

“…Based on the distribution of eigenvalues, we prove that a sequence of Hopf bifurcation occurs at the equilibrium as the delay increases and obtain the critical values of Hopf bifurcation. Explicit algorithms for determining the direction of the Hopf bifurcation and the stability of the bifurcating periodic solutions are derived, using the theories of normal form and center manifold.…”
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Implicit and Explicit Iterative Methods for Systems of Variational Inequalities and Zeros of Accretive Operators by Lu-Chuan Ceng, Saleh Abdullah Al-Mezel, Qamrul Hasan Ansari

“…Under suitable assumptions, we study the strong convergence of the sequences generated by the proposed algorithms. The results of this paper improve and extend several known results in the literature.…”
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A Double Inequality for the Trigamma Function and Its Applications by Zhen-Hang Yang, Yu-Ming Chu, Xiao-Jing Tao

“…As applications, some new approximation algorithms for the circumference ratio π and Catalan constant G=∑n=0∞-1n/(2n+1)2 are given. …”
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Analysis on the Ecological Concept of Ternary Interactive Education in Business English Writing by Yuwan Zhang

“…The modulation recognition can well reduce the influence of interference on algorithm performance. In addition, this paper simulates the recognition performance of the likelihood function-based algorithm when the system has frequency offset and asynchronous time offset. …”
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Adaptive Graph Cut Based Cloud Detection in Wireless Sensor Networks by Shuang Liu, Zhong Zhang

“…The experimental results show that the proposed algorithm not only achieves better results than other state-of-the-art cloud detection algorithms in WSN, but also achieves comparable results compared with the interactive segmentation algorithm.…”
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D-Optimal Design for a Causal Structure for Completely Randomized and Random Blocked Experiments by Zaher Kmail, Kent Eskridge

“…In this research, search algorithms are used to produce a D-optimal design for a SEM for three-stage least squares and full information maximum likelihood estimators. …”
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TOPOLOGY OF ENTREPRENEURIAL UNIVERSITY: DYNAMIC DESCRIPTIVE MODEL by R. A. Zayakina

“…Certain procedures of real network design are used to build the algorithms of operations with descriptors characterizing the transformations which take place both inside the universities being an innovative ecosystem and systems with their participation. …”
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A machine learning approach for predicting treatment response of hyponatremia by Tamaki Kinoshita, Shintaro Oyama, Daisuke Hagiwara, Yoshinori Azuma, Hiroshi Arima

“…The predicted s-Na levels, using explainable machine learning algorithms and clinically accessible parameters, correlated well with the actual levels. …”
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Sensitivity to Initial Data Errors in Interpreting Temperature Logging of an Isolated Injection Well Segment by K. A. Potashev, D. R. Salimyanova, A. B. Mazo, A. A. Davletshin, A. V. Kosterin

“…Thus, Nesterov’s method was applied. An algorithm to automatically scale one of the method’s parameters (step length) was developed, and the optimal value of the second parameter (inertial step) was calculated. …”
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