PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…The final experimental results indicate that, compared to the original YOLOv8n algorithm, the PFW-YOLO algorithm achieves a 53% reduction in parameters, a 42% decrease in computational effort, and a 51% reduction in model size, while enhancing the mean average precision (mAP) by 0.4%.…”
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Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

“…The current research is motivated by this concept and proposes a multifactor algorithm incorporated with genetic operators and powerful features. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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Research on data transmission based on DDPG algorithm by Yan Danting, Jiao Xinquan

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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

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

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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. …”
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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. …”
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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. …”
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Method and Algorithm for Processing Large Volume Images by O. N. Andreichuk, N. I. Listopad

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A Penalization-Gradient Algorithm for Variational Inequalities by Abdellatif Moudafi, Eman Al-Shemas

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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

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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.…”
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Osteoarthritis as an interdisciplinary problem: treatment algorithm for physicians and general practitioners by A. M. Lila, L. I. Alekseeva, E. A. Taskina, N. G. Kashevarova

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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. …”
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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. …”
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