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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Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms by Jie Zhu, Jianmei Zhou, Chunhui Tao, Guomei Xia, Bingyan Liu, Xiaowei Zheng, Xu Li, Zhenhua Zhang

“…Six different machine learning algorithms were employed to develop prognostic models based on the clinical features during the acute phase, which were reduced using Lasso regression.Results Seven indicators (ALT, AST, BUN, LDH, a-HBDH, DD, and PLT) at 7-10 days post-onset and their change slopes were found to be crucial during disease progression. …”
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Research on High-Frequency Combination Coding-Based SSVEP-BCIs and Its Signal Processing Algorithms by Feng Zhang, Chengcheng Han, Lili Li, Xin Zhang, Jun Xie, Yeping Li

“…Lastly, the differentiation combination (DC) method is proposed to select the combination coding sequence in order to increase the recognition rate; as a result, IHHT algorithm and DC method for the proposed SSVEP paradigm in this study increase recognition efficiency so as to improve ITR and increase the stability of the BCI system. …”
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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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Damage Detection and Identification on Elevator Systems Using Deep Learning Algorithms and Multibody Dynamics Models by Josef Koutsoupakis, Dimitrios Giagopoulos, Panagiotis Seventekidis, Georgios Karyofyllas, Amalia Giannakoula

“…For this purpose, a novel approach for damage detection and identification on elevator systems is developed in this work, where vibration data obtained through physical measurements and high-fidelity multibody dynamics models are combined with deep learning algorithms. High-quality training data are first generated through multibody dynamics simulations and are then combined with healthy state vibration measurements to train an ensemble of autoencoders and convolutional neural networks for damage detection and classification. …”
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Exploring machine learning algorithms for predicting fertility preferences among reproductive age women in Nigeria by Zinabu Bekele Tadese, Teshome Demis Nimani, Kusse Urmale Mare, Fetlework Gubena, Ismail Garba Wali, Jamilu Sani

“…Six machine learning algorithms, namely, Logistic Regression, Support Vector Machine, K-Nearest Neighbors, Decision Tree, Random Forest, and eXtreme Gradient Boosting, were employed on a total sample size of 37,581 in Python 3.9 version. …”
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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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Advanced Genetic Algorithms for Optimal Battery Siting: A Practical Methodology for Distribution System Operators by Edward Alejandro Ortiz, Josimar Tello-Maita, David Celeita, Agustin Marulanda Guerra

“…By incorporating historical data on demand and network failures, the algorithm generates statistical models that inform the optimization process. …”
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Prediction of Acute Kidney Injury for Critically Ill Cardiogenic Shock Patients with Machine Learning Algorithms by Zhang X, Xiong Y, Liu H, Liu Q, Chen S

“…Five machine learning algorithms (LightGBM, decision tree, XGBoost, random forest, and ensemble model) and one conventional logistic regression were applied for the prediction of AKI in critically ill individuals with CS. …”
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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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Retracted: An Intelligent Carbon-Based Prediction of Wastewater Treatment Plants Using Machine Learning Algorithms by Adsorption Science and Technology

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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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Assessment of different genotyping markers and algorithms for distinguishing Plasmodium falciparum recrudescence from reinfection in Uganda by Alex Mwesigwa, Monica Golumbeanu, Sam Jones, Sara L. Cantoreggi, Benson Musinguzi, Joaniter I. Nankabirwa, Everd Maniple Bikaitwoha, Joan N Kalyango, Charles Karamagi, Mateusz Plucinski, Samuel L. Nsobya, Christian Nsanzabana, Pauline Byakika-Kibwika

“…The 3/3 match-counting algorithm classified significantly fewer recrudescences than both the ≥ 2/3 and Bayesian algorithms at probability cutoffs of ≥ 0.7 and ≥ 0.8 (P < 0.05). …”
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Some Convergence and Stability Results for the Kirk Multistep and Kirk-SP Fixed Point Iterative Algorithms by Faik Gürsoy, Vatan Karakaya, B. E. Rhoades

“…The purpose of this paper is to introduce a new Kirk type iterative algorithm called Kirk multistep iteration and to study its convergence. …”
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