Using neuroevolution for designing soft medical devices by Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Igor Balaz, Andrew Adamatzky

“…Specifically, the best-performing morphologies were discovered by the NEAT algorithm.…”
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Geoelectrical Data Inversion by Clustering Techniques of Fuzzy Logic to Estimate the Subsurface Layer Model by A. Stanley Raj, D. Hudson Oliver, Y. Srinivas

“…Here in this approach, graphical user interface (GUI) was developed with the integration of three algorithms and the input data (AB/2 and apparent resistivity), while importing will process each algorithm and interpret the layer model parameters (true resistivity and depth). …”
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Global progress in competitive co-evolution: a systematic comparison of alternative methods by Stefano Nolfi, Paolo Pagliuca

“…Finally, we compare the efficacy of four qualitatively different algorithms, including two newly introduced methods. …”
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Numerical methods of computation of singular and hypersingular integrals by I. V. Boikov

“…The isolated section is devoted to the optimal with respect to accuracy algorithms of the calculation of the hypersingular integrals.…”
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Methods for Solving Generalized Nash Equilibrium by Biao Qu, Jing Zhao

“…In this paper, we present two descent type methods. The algorithms are based on a reformulation of the generalized Nash equilibrium using Nikaido-Isoda function as unconstrained optimization. …”
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Generalized Discriminant Orthogonal Nonnegative Tensor Factorization for Facial Expression Recognition by Zhang XiuJun, Liu Chang

“…In order to overcome the limitation of traditional nonnegative factorization algorithms, the paper presents a generalized discriminant orthogonal non-negative tensor factorization algorithm. …”
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Analisis Perbandingan Algoritma SVM, KNN, dan CNN untuk Klasifikasi Citra Cuaca by Mohammad Farid Naufal

“…KNN and SVM are Machine Learning classification algorithms, while CNN is a Deep Neural Networks classification algorithm. …”
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Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis by Mahdi Gouravani, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, Shayan Shojaei, Sina Mirakhori, Hamid Harandi, Soheil Mohammadi, Ramy R. Saleh

“…Moreover, externally validated Al algorithms had a pooled sensitivity and specificity of 80% (95% CI, 73 to 84) and 90% (95% CI, 84 to 93), respectively. …”
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OpenWFS—a library for conducting and simulating wavefront shaping experiments by Jeroen H Doornbos, Daniël W S Cox, Tom Knop, Harish Sasikumar, Ivo M Vellekoop

“…This complexity makes it hard to compare different algorithms and to extend existing software with new hardware or algorithms. …”
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Convex separable minimization problems with a linear constraint and bounded variables by Stefan M. Stefanov

“…A necessary and sufficient condition and a sufficient condition are proved for a feasible solution to be an optimal solution to these two problems, respectively. Iterative algorithms of polynomial complexity for solving such problems are suggested and convergence of these algorithms is proved. …”
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The Computational Solution of Generalized Inverse Eigenvalue Problem for Pseudo-Jacobi Matrix by Fuxia Yi, Enhua Li

“…It is shown that a unique pseudo-Jacobi matrix can be recovered from partial eigenpairs and certain special mixed eigendata. Two algorithms are provided for the reconstruction of such a pseudo-Jacobi matrix, and illustrative numerical examples are presented to verify the proposed algorithms.…”
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A Note on the Square Roots of a Class of Circulant Matrices by Ying Zhang, Huisheng Zhang, Guoyan Chen

“…Then, we propose two algorithms for computing the square roots of the k-circulant matrix and the skew k-circulant matrix, respectively. …”
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Regularized Methods for the Split Feasibility Problem by Yonghong Yao, Wu Jigang, Yeong-Cheng Liou

“…Many applied problems such as image reconstructions and signal processing can be formulated as the split feasibility problem (SFP). Some algorithms have been introduced in the literature for solving the (SFP). …”
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Applications of Robust Methods in Spatial Analysis by Selvakkadunko Selvaratnam

“…Robust and sequential methods were used to develop algorithms for design construction. The constructed designs are robust against misspecified regression responses and variance/covariance structures of responses. …”
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Artificial Intelligence Scribe and Large Language Model Technology in Healthcare Documentation: Advantages, Limitations, and Recommendations by Sarah A. Mess, MD, Alison J. Mackey, PhD, David E. Yarowsky, PhD

“…The neural network algorithms of LLMs have unpredictable sensitivity to user input and inherent variability in their output. …”
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A synthesis method for zero-sum mean-payoff asynchronous probabilistic games by Wei Zhao, Wanwei Liu, Zhiming Liu, Tiexin Wang

“…Next, two symbolic algorithms running in polynomial time are proposed to calculate the expected mean payoffs, and both algorithms adopt uniform random strategies. …”
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ESG IN THE REAL ESTATE VALUATIONS. A PORTFOLIO SELECTION MODEL FOR ENERGY RETROFIT PROGRAMS by Francesco Tajani, Francesco Sica, Carola Clemente, Eugenio Arbizzani

“…The ESG triptych constitutes inspiration in the scientific literature in the field for the proposal and testing of valuation algorithms aimed at the optimal structuring of investment portfolios. …”
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A Hybrid Approach of Using Wavelets and Fuzzy Clustering for Classifying Multispectral Florescence In Situ Hybridization Images by Yu-Ping Wang, Ashok Kumar Dandpat

“…The algorithms have been tested on images from normal cells, showing the improvement in classification accuracy. …”
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An Efficient Estimation Method for Reducing the Axial Intensity Drop in Circular Cone-Beam CT by Lei Zhu, Jared Starman, Rebecca Fahrig

“…Reconstruction algorithms for circular cone-beam (CB) scans have been extensively studied in the literature. …”
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Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model by Basim Mahbooba, Mohan Timilsina, Radhya Sahal, Martin Serrano

“…The previous studies focused more on the accuracy of the various classification algorithms for trust in IDS. They do not often provide insights into their behavior and reasoning provided by the sophisticated algorithm. …”
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