A genomic strategy for precision medicine in rare diseases: integrating customized algorithms into clinical practice by Cristina Méndez-Vidal, Nereida Bravo-Gil, Javier Pérez-Florido, Irene Marcos-Luque, Raquel M. Fernández, José Luis Fernández-Rueda, María González-del Pozo, Marta Martín-Sánchez, Elena Fernández-Suárez, Marcela Mena, Rosario Carmona, Joaquín Dopazo, Salud Borrego, Guillermo Antiñolo

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Numerical Method for Stochastic Nonlinear Schrödinger Equation Driven by Multivariate Gaussian Measure: Algorithms and Applications by Hongling Xie

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Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves

“…Our scheme includes two steps: (a) the local truncated normal-dose projections are extended to global dataset by combining a few global low-dose projections; (b) the ROI are reconstructed by either the generalized filtered backprojection (FBP) or backprojection-filtration (BPF) algorithms. The simulation results show that both the FBP and BPF algorithms can reconstruct satisfactory results with image quality in the ROI comparable to that of the corresponding global CT reconstruction.…”
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Parameter Selection for PSO-Based Hybrid Algorithms and Its Effect on Crack Detection in Cantilever Beams by Amin Ghannadiasl, Saeedeh Ghaemifard

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A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…This estimation is challenging due to computational complexity and the risk of optimization errors, which can hinder reliable performance predictions. The algorithms evaluated include the Crayfish Optimization Algorithm, the Golf Optimization Algorithm, the Coati Optimization Algorithm, the Crested Porcupine Optimizer, the Growth Optimizer, the Artificial Protozoa Optimizer, the Secretary Bird Optimization Algorithm, the Mother Optimization Algorithm, the Election Optimizer Algorithm, and the Technical and Vocational Education and Training-Based Optimizer. …”
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A Novel Approach for Objective Assessment of White Blood Cells Using Computational Vision Algorithms by Cesar Mauricio Rodríguez Barrero, Lyle Alberto Romero Gabalan, Edgar Eduardo Roa Guerrero

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Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms by Yeliz Karaca, Carlo Cattani, Majaz Moonis, Şengül Bayrak

“…Recently, K-means and fuzzy C means (FCM) algorithms have been applied in literature with many datasets. …”
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Development of Ray Tracing Algorithms for Scanning Plane and Transverse Plane Analysis for Satellite Multibeam Application by N. H. Abd Rahman, M. T. Islam, N. Misran, Y. Yamada, N. Michishita

“…This paper presents the detailed discussions on the derivation of the ray tracing algorithms, the establishment of the equations of caustic loci, and the verification of the method through calculation of radiation pattern.…”
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Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application by Andrei Danila, Robert Streche, Oana Orza, Cristina Dobre, George Suciu

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Synchronization in graph analysis algorithms on the Partially Ordered Event‐Triggered Systems many‐core architecture by Ashur Rafiev, Alex Yakovlev, Ghaith Tarawneh, Matthew F. Naylor, Simon W. Moore, David B. Thomas, Graeme M. Bragg, Mark L. Vousden, Andrew D. Brown

“…Abstract One of the key problems in designing and implementing graph analysis algorithms for distributed platforms is to find an optimal way of managing communication flows in the massively parallel processing network. …”
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Combined Parameter and State Estimation Algorithms for Multivariable Nonlinear Systems Using MIMO Wiener Models by Houda Salhi, Samira Kamoun

“…The effectiveness of the proposed algorithms is shown by an illustrative simulation example.…”
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Recent Developments in Heavy Metals Detection: Modified Electrodes, Pretreatment Methods, Prediction Models and Algorithms by Yujie Shi, Shijie Zhang, Hang Zhou, Yue Dong, Gang Liu, Wenshuai Ye, Renjie He, Guo Zhao

Subjects: “…prediction models and algorithms…”
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Empirical modeling potential transfer of land cover change pa city with neural network algorithms by fatemeh mohammadyary, hamidreza pourkhabbaz, hossin aghdar, morteza Tavakoly

“…The transmission potential modeling was performed by using the multi-layer perceptron artificial neural network algorithm using six independent variables and the distribution of changes in user usage were calculated by Markov chain method. …”
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Comparison of Machine Learning Algorithms on Classification of Covid-19 Cough Sounds Using MFCC Extraction by Mohammad Reza Faisal, Muhammad Thoriq Hidayat, Dwi Kartini, Fatma Indriani, Irwan Budiman, Triando Hamonangan Saragih

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Modeling flux linkages of an induction motor in dynamic modes. Comparison of the effectiveness of various control algorithms by V. L. Kodkin, A. S. Anikin, A. A. Baldenkov, Huang Ji Chen

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Reduced Complexity Iterative Decoding of 3D-Product Block Codes Based on Genetic Algorithms by Abdeslam Ahmadi, Faissal El Bouanani, Hussain Ben-Azza, Youssef Benghabrit

“…Two iterative decoding algorithms of 3D-product block codes (3D-PBC) based on genetic algorithms (GAs) are presented. …”
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Appraising the Pile Settlement Rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms by Argyros Maris

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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…The article explores the integration of adaptive learning algorithms to optimize low-dose imaging in coronary artery angiography. …”
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Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets by Phattharaporn Singkanipa, Daniel A. Lidar

“…Variational quantum algorithms (VQAs) hold much promise but face the challenge of exponentially small gradients. …”
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Efficient algorithms for solving nonlinear Volterra integro-differential equations with two point boundary conditions by L. E. Garey, R. E. Shaw

Subjects: “…algorithm efficiency…”
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