Experimental Results of Novel DoA Estimation Algorithms for Compact Reconfigurable Antennas by Henna Paaso, Aki Hakkarainen, Nikhil Gulati, Damiano Patron, Kapil R. Dandekar, Mikko Valkama, Aarne Mämmelä

“…Additionally, we compare the performances of the APPR algorithm and LWA-based MUSIC algorithms. We study how the computational complexity and the performance of the algorithms depend on number of selected radiation patterns. …”
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A decision support system based on classification algorithms for the diagnosis of periodontal disease by Abdulrahman Alshehri, Mohammed Dahman, Mousa Assiri, Abdulkarim Alshehri, Sharifah Alqahtani, Mohammed Shaiban, Bashyer Alqahtani, Sabah Althbyani, Hatem Alhefdi, Khalid Hakami, Abdulbari Ali, Abdullah Saeed

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A comparison of computational efficiencies of stochastic algorithms in terms of two infection models by H. Thomas Banks, Shuhua Hu, Michele Joyner, Anna Broido, Brandi Canter, Kaitlyn Gayvert, Kathryn Link

Subjects: “…stochastic simulation algorithms…”
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Overview of soil organic carbon mapping using machine learning algorithms in Africa by Yassine Bouslihim, Rachid Aboutayeb, Tarik Benabdelouahab

“…In this review, studies conducted using geostatistical approaches without the use of ML algorithms, and those focusing on SOC stocks, were not considered. …”
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Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems by Zhengqing Fu, Lanlan Guo

“…The Levenberg–Marquardt algorithm is used to estimate the nonlinear parameters. …”
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Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis by Masoumeh Vali, Hossein Motahari Nezhad, Levente Kovacs, Amir H Gandomi

“…Tree-based models were the primarily used algorithms and showed promising results in predicting PTSD outcomes for various groups, as indicated by their pooled AUCs: military incidents (0.745), sexual or physical trauma (0.861), natural disasters (0.771), medical trauma (0.808), firefighters (0.96), and alcohol-related stress (0.935). …”
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Quantitative analysis of different SLAM algorithms for geo-monitoring in an underground test field by Jing Li, Jörg Benndorf, Paweł Trybała

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Bio-Inspired Algorithms for Efficient Clustering and Routing in Flying Ad Hoc Networks by Juhi Agrawal, Muhammad Yeasir Arafat

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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…The accuracy of classification and early warning results of the random forest algorithm is relatively high, and the detection rate of the decision tree model is relatively high, but the cost is also the highest. …”
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RETRACTED: Creating algorithms to optimize power output in weather station solar panels by Xayitov Azizjon, Sobirov Muslimjon, Juraev Nurmakhamad, Asraev Mukhammadmullo, Sadikova Munira, Abdurasulova Dilnoza

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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

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Comparative analysis of regression algorithms for drug response prediction using GDSC dataset by Soojung Ha, Juho Park, Kyuri Jo

“…In addition, it is difficult for researchers to know which algorithm is appropriate for prediction as various regression and feature selection algorithms exist. …”
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Development of algorithms for effective control of process of testing induction motors by mutual load by V. V. Kharlamov, D. I. Popov

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Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms by Reem A. Alzahrani, Malak Aljabri, Rami A. Mustafa Mohammad

“…The study underscores the prowess of tree-based methods and advanced algorithms in detecting click fraud, as evidenced by high accuracy, precision, and recall scores. …”
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Machine Learning and Deep Learning Optimization Algorithms for Unconstrained Convex Optimization Problem by Kainat Naeem, Amal Bukhari, Ali Daud, Tariq Alsahfi, Bader Alshemaimri, Mousa Alhajlah

“…This paper conducts a thorough comparative analysis of optimization algorithms for an unconstrained convex optimization problem. …”
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The Profit Rate-Interest Rate Nexus: Evidence from Machine Learning Algorithms by Mehmet Yeşilyaprak, Ali Polat, Önder Özgür, Süleyman Şahal

“…Second, the study uses random forest, bagging, and boosting algorithms as methodological tools and benefits from the apparent advantages these algorithms have empirically.…”
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Comment on: “Integrating Human Intuition into Prediction Algorithms for Improved Surgical Risk Stratification” by Elisabeth E. Smith, BMedSci, BMBS, Brenig L. Gwilym, MBBCh, PhD, Philip Pallmann, PhD, David C. Bosanquet, MD, FRCS

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Analysis of algorithms for detecting traffic incidents on highways using stationary vehicle detectors by D. V. Navoi, D. V. Kapski, N. A. Filippova, I. N. Pugachev

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Developing a hybrid model for comparative analysis of financial data clustering algorithms by Mojtaba Movahedi, Mahdi Homayounfar, Mehdi Fadaei, Mansour Soufi

“…Purpose: Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. …”
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RETRACTED: Methods and algorithms for differentiated dietary nutrition during prenatal fetal development by Abdullayeva Zamira, Shikhnazarova Guzal, Fayzullaeva Zarnigor

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