Algorithm for the Choice of Anticoagulant for Patients with Atrial Fibrillation by Yu. P. Skirdenko, N. A. Nikolaev

“…The results of the study demonstrated the potential for reduction in complications, especially thromboembolic, in the choice of anticoagulant using the algorithm; and reduction in complications of therapy, primarily with warfarin, due to the initial prescription of DOACs. …”
Get full text

Enhancing Security in Industrial IoT Networks: Machine Learning Solutions for Feature Selection and Reduction by Ahmad Houkan, Ashwin Kumar Sahoo, Sarada Prasad Gochhayat, Prabodh Kumar Sahoo, Haipeng Liu, Syed Ghufran Khalid, Prince Jain

“…The article emphasizes the critical role of feature engineering, with a specific focus on feature selection and reduction, and elaborates on applying MRMR and PCA algorithms to various feature sets. …”
Get full text

OPTIMISATION OF THE MACHINING PROCESS USING GENETIC ALGORITHM by Nadežda ČUBOŇOVÁ, Tomáš DODOK, Zuzana SÁGOVÁ

“…Tool path verification and optimisation are two best ways of dramatically improving manufacturing operations while saving money with relatively little work. Genetic algorithms can be used for improvement of these operations and considerably reduce length of tool paths leading to the reduction of machine times and optimisation of cutting parameters. …”
Get full text

Stochastic Explicit Calibration Algorithm for Survival Models by Jeongho Park, Sangwook Kang, Gwangsu Kim

“…In this study, we introduce Stochastic Explicit Calibration (S-cal), an algorithm that employs random intervals instead of fixed bins, thereby advancing the calibration methods used in deep networks. …”
Get full text

Dimension Reduction Using Quantum Wavelet Transform on a High-Performance Reconfigurable Computer by Naveed Mahmud, Esam El-Araby

“…In this work, we propose combining dimension reduction techniques with quantum information processing for application in domains that generate large volumes of data such as HEP. …”
Get full text

Joint Tomek Links (JTL): An Innovative Approach to Noise Reduction for Enhanced Classification Performance by Goksu Tuysuzoglu, Yunus Dogan, Elife Ozturk Kiyak, Mustafa Ersahin, Bita Ghasemkhani, Kokten Ulas Birant, Derya Birant

Get full text

Advancing Spike Sorting Through Gradient‐Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering by Mohammad Amin Lotfi, Fatemeh Zareayan Jahromy, Mohammad Reza Daliri

Get full text

Diagnostic Evaluation of Foreign Body Aspiration in Children by Ali Onur Erdem, Barlas Etensel, Mesut Yazıcı, Sezen Karaca Özkısacık

“…The sensitivity and specificity of the parameters used in the diagnosis of FBA and their predictive values were calculated.Results:78.9% of the patients were younger than 3 years and 63.8% were male. …”
Get full text

Flow Shop Scheduling Using a Combination of Ant Colony Optimization Algorithm and Tabu Search Algorithm to Minimize Total Tardiness by Hana Merlina Hesti Bestari, Pratya Poeri Suryadhini, Nopendri Nopendri

“…At the same time, the Tabu Search algorithm is applied as a local search to improve the quality of the solution found by ACO. …”
Get full text

An Oracle Normalized Least Mean Square (NLMS) Algorithm and a Simple Bayesian Detection NLMS Algorithm Robust to Impulse Noise by Hadi Zayyani, Yaser Attar

“…This paper suggests an oracle normalized least-mean-square (NLMS) algorithm and a simple Bayesian detection NLMS impulse noise detection algorithm as an effective adaptive algorithm against impulsive noises. …”
Get full text

Alzheimer’s Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network by Raheleh Ghadami, Javad Rahebi

Get full text

18F-FDG dose reduction using deep learning-based PET reconstruction by Ryuji Akita, Komei Takauchi, Mana Ishibashi, Shota Kondo, Shogo Ono, Kazushi Yokomachi, Yusuke Ochi, Masao Kiguchi, Hidenori Mitani, Yuko Nakamura, Kazuo Awai

“…Compared to the recommended dose in the European Association of Nuclear Medicine (EANM) guidelines for 90 s per bed position (4.7 MBq/kg), this represents a dose reduction of 36%. Further optimization of DLR algorithms is required to maintain comparable diagnostic accuracy in patients weighing 75 kg or more.…”
Get full text

New Algorithm of Stress Echocardiography with Adenosine Triphosphate by N. Yu. Nelassov, M. N. Morgunov, R. V. Sidorov, N. S. Doltmurzieva, O. L. Eroshenko, E. A. Arzumanjan, E. L. Kreneva, S. V. Shlyk

“…The key provisions of the new algorithm were: (a) the exercise test consisted of 3 stages (EchoCG data should be recorded before, during, and 5 minutes after ATP infusion); (b) the criterion for achieving submaximal myocardial hyperemia during ATP administration is a systolic blood pressure (SBP) reduction of 5 and more mm Hg; (c) EchoCG was usually recorded at Stage 2 of the test 3 minutes after the start of ATP administration and with a decline in SBP; (d) the initial dose of ATP administration was 140 pg/kg/min; if SBP did not decrease at 3 minutes of the drug administration, the dosage should be first increased up to 175 pg/kg/ min at 1 minute; if there was no effect, the dosage should be increased up to 210 pg/kg/min at another 2-3 minutes. …”
Get full text

Fiber-Optic Sensor Spectrum Noise Reduction Based on a Generative Adversarial Network by Yujie Lu, Qingbin Du, Ruijia Zhang, Bo Wang, Zigeng Liu, Qizhe Tang, Pan Dai, Xiangxiang Fan, Chun Huang

“…Additionally, the proposed algorithm was tested for multimode noise reduction, demonstrating an excellent linearity in temperature response with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula> of 99.95% for its linear fitting and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>99.74</mn><mo>%</mo></mrow></semantics></math></inline-formula> for the temperature response obtained from single-mode fiber sensors. …”
Get full text

Research on dynamic prediction and optimization of high altitude photovoltaic power generation efficiency using GVSAO-CNN Model under 8-climate modes by Xiaoming Xiong, Heng Hu, Qiangfu Jia, Rongjian Zhang, Chongan Huang, Qingyuan Lu

Subjects: “…Gravity search optimization algorithm…”
Get full text

Research on Simplified Design of Model Predictive Control by Qing Zhang, Chi Zhang, Qi Wang, Shiyun Dong, Aoqi Xiao

Get full text

Fuzzy Model Predictive Control for Unmanned Helicopter by Łukasz Kiciński, Sebastian Topczewski

“…The proposed solution involves the use of the Model Predictive Control framework enhanced with the Takagi–Sugeno inference algorithm. …”
Get full text

Heuristic Binary Search for Modulated Predictive Control by Rafael FIgueiredo, Igor Oliani, Angelo Lunardi, Alfeu J. Sguarezi Filho

“…Predictive Control optimization often relies on exhaustive enumeration of voltage vectors within the finite control set. …”
Get full text

Predicting equilibrium scour depth around non-circular bridge piers with shallow foundations using hybrid explainable machine learning methods by Nasrin Eini, Saeid Janizadeh, Sayed M. Bateni, Changhyun Jun, Essam Heggy, Marek Kirs

“…This study combines two metaheuristic optimization techniques—Siberian tiger optimization (STO) and brown-bear optimization algorithms (BOA)—with artificial neural networks (ANNs) to enhance deq prediction accuracy for both round- and sharp-nosed piers using both field and laboratory data. …”
Get full text

Study on the Macroeconomic Model Based on the Genetic Algorithm by Sun Shihao, Yixin Zhou, Yong Wang, Wu Wang

“…Finally, a high-throughput macroeconomic timing prediction scheme based on genetic algorithm is designed. …”
Get full text