Tool Wear Estimation in the Milling Process Using Backpropagation-Based Machine Learning Algorithm by Giovanni Oliveira de Sousa, Pedro Oliveira Conceição Júnior, Ivan Nunes da Silva, Dennis Brandão, Fábio Romano Lofrano Dotto

“…Although only a simple backpropagation algorithm was used, the results were adequate to demonstrate a balance between accuracy and computational resource usage.…”
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Pedestrian Re-Recognition Algorithm Based on Optimization Deep Learning-Sequence Memory Model by Feng-Ping An

“…This proposal provides a technical method and approach for adaptive pedestrian re-recognition algorithms.…”
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Visual SLAM algorithm for underground robots in coal mines based on point-line features by Li WANG, Tianxiang ZANG, Bo SU

“…The experimental results on the EuRoC dataset show that the APE(Absolute Pose Error) index of SL-SLAM is better than other comparison algorithms, and the trajectory prediction results closest to the true value are obtained, and the root mean square error is reduced by 17.3% compared with ORB-SLAM3. …”
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Development of an Algorithm and Module for Automatic Evaluation of Student Papers Based on Semantic Analysis of Text by A. A. Poguda, Jean Max Habib Tape

“…For this project, we have chosen a combination of Levenshtein and Jaro index algorithms based on the method of assessing students’ knowledge in the Russian system.Results. …”
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Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types by Jurgita Gammall, Alvina G. Lai

“…We compare the performance of different machine learning algorithms and assess the added value of genetic information in cancer prognosis. …”
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Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms by R. Reena Roy, Leninisha Shanmugam, A. Vinothini, Nirmala Venkatachalam, G. Sumathy, Bhavadharini Murugeshan, P. Mercy Rajaselvi Beaulah, Gizachew Assefa Kerga

“…Predictions made by the decision tree algorithm for the test and validation measurements have an accuracy of 86% and 99.7%, respectively. …”
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Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept by Aliaa Mahmoud, Mohammed Younis

“…The results showed a strong predictive power of the algorithms with an accuracy of 97.5%, while the training times were significantly reduced in parallel from 88.83 to 15.88 seconds for the RF100 model for image no. 2. …”
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Prediction of postpartum depression in women: development and validation of multiple machine learning models by Weijing Qi, Yongjian Wang, Yipeng Wang, Sha Huang, Cong Li, Haoyu Jin, Jinfan Zuo, Xuefei Cui, Ziqi Wei, Qing Guo, Jie Hu

“…Seven feature selection methods and six ML algorithms were employed to develop models, and their prediction performances were compared. …”
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Human autonomy teaming-based safety-aware navigation through bio-inspired and graph-based algorithms by Timothy Sellers, Tingjun Lei, Chaomin Luo, Zhuming Bi, Gene Eu Jan

“…Furthermore, an obstacle tracking model is employed to provide predictive data, enhancing the efficiency of the system. …”
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A Prescriptive Approach Based on Fuzzy Cognitive Maps and Genetic Algorithms for Disease Management in Beef Production by Rodrigo Garcia, Jose Aguilar, Angel Pinto, William Hoyos

“…This paper proposes a novel prescriptive analytics approach based on Fuzzy Cognitive Maps (FCMs) integrated with Genetic Algorithms (GAs) to support decision-making in the treatment of common cattle diseases. …”
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Agreement Between Medico-Administrative Database Algorithms and Survey-Based Diagnoses for Depression and Anxiety in Older Adults by Giraud Ekanmian, Carlotta Lunghi, Helen-Maria Vasiliadis, Line Guénette

“…The agreement was assessed with the kappa statistics (κ), and the algorithms’ sensitivity, specificity, and positive and negative predictive values were calculated using the case definitions derived from the DSM-IV-aligned ESA-Services interviews as the gold standard. …”
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Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation by Methq Kadhum Alnoori, Malik Jasim Farhan, Enas F. Rawashdeh

“…This work describes a new methodology using GAs to obtain an optimal configuration of the antenna elements, allowing a considerable reduction in computational complexity. Using the ESPRIT algorithm for azimuth and elevation angle estimation, the proposed approach achieves an RMSE as low as 0.2 degrees under an SNR of 20 dB. …”
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Fluvial bedload transport modelling: advanced ensemble tree-based models or optimized deep learning algorithms? by Khabat Khosravi, Aitazaz A. Farooque, Sayed M. Bateni, Changhyun Jun, Dorsa Mohammadi, Zahra Kalantari, James R. Cooper

“…The potential of advanced tree-based models and optimized deep learning algorithms to predict fluvial bedload transport was explored, identifying the most flexible and accurate algorithm, and the optimum set of readily available and reliable inputs. …”
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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

“…The advantages and disadvantages of individual ML methods (logistic regression, support vector machines, decision trees, naive Bayesian classifier, k-nearest neighbors) for the development of diagnostic and predictive algorithms are shown. The most promising ML methods include deep learning, which is implemented using multilayer artificial neural networks. …”
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Development and validation of a machine learning-based survival prediction model for Asian glioblastoma patients using the SEER database and Chinese data by Denglin Li, Luxin Zhang, Lifei Xu, Renhe Zhai, Hanyu Gao, Junlan Gao, Minghai Wei, Ningwei Che, Yeting He

“…Our study attempted to investigate the independent predictors of overall survival (OS) and cancer-specific survival (CSS) in Asian patients with glioblastoma and establish predictive models for the OS and CSS of Asian patients with glioblastoma based on the machine learning algorithms. …”
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A comparative analysis of imaging-based algorithms for detecting focal cortical dysplasia type II in children by Jan Šanda, Zuzana Holubová, David Kala, Kateřina Jiránková, Martin Kudr, Tomáš Masák, Anežka Bělohlávková, Pavel Kršek, Jakub Otáhal, Martin Kynčl

“…The junction algorithm achieved the highest median dice score (0.028, IQR 0.038, p < 0.01 when compared with other algorithms) and detected relevant clusters even in MRI-negative cases. …”
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Maize crop residue cover mapping using Sentinel-2 MSI data and random forest algorithms by Jia Du, Pierre-Andre Jacinthe, Kaishan Song, Longlong Zhang, Boyu Zhao, Hua Liu, Yan Wang, Weijian Zhang, Zhi Zheng, Weilin Yu, Yiwei Zhang, Dapeng Jiang

“…The tillage indices with the best predictive performance were STI and NDTI (R2 of 0.85 and 0.84, respectively). …”
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Structural and parametric synthesis of anti-average control algorithms for realizing adaptive frequency operating automaticselectrotechnical systems by V. R. Ivanovа, I. Y. Ivanov, V. V. Novokreshchenov

“…The result of this work is the developed algorithmic model of an adaptive FDA of a power plant, consisting of input and processing algorithms for input analog signals of a FDA, algorithms for input and processing of input discrete signals of a FDA, algorithms for generating start-up organs of a FDA, algorithms for allocating a power plant to a balanced load of a power district. …”
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Second-order design of GNSS networks with different constraints using particle swarm optimization and genetic algorithms by Al Shouny Ahmed

“…This optimization translates to a reduction of around 42% in fieldwork time and associated costs by roughly the same amount. …”
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Estimation of the Double-Cage Model for Three-Phase Induction Machines Using Decision Tree-Based Algorithms by Eduardo Ferreira Rios Oliveira, Rafael Santos, Marcelo Godoy Simoes, Helmo Morales Paredes

“…The main contributions of this work are the reduction of the number of parameters necessary for the estimation of the DCM equivalent circuit and employing three distinct decision tree-based algorithms, whose effectiveness was confirmed through simulations and experimental tests, thereby providing an accurate representation of the dynamics of real TIMs. …”
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