Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm by Chen Yu, Ying Liu, Linhan Li, Guangpeng Zhou, Boshi Dang, Jie Du, Junlin Ma, Site Zhang

“…To enhance the imaging quality of each individual image, we propose a de-diffraction algorithm based on gradient iteration. This algorithm is capable of rapidly removing the interference spots resulting from diffraction and restoring the distorted laser spots. …”
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Algorithm of appointment (examination; consultation) of patients under follow-up care by a general practitioner by R. N. Shepel, P. V. Ipatov, L. Yu. Drozdova, А. M. Kalinina, M. M. Lukyanov, S. Yu. Martsevich, O. M. Drapkina

“…The accumulation; adjustment; and systematization of the obtained results were carried out in Microsoft Office Excel 2016 spreadsheets.The algorithm for a dispensary appointment (examination; consultation) by a general practitioner consists of 9 following modules: patient intake; physical examination; assessing the achievement of health targets; assessing the risk of adverse events; assessing the results of consultations with specialists; establishing or clarifying the diagnosis of a disease (condition); prescribing preventive; diagnostic; therapeutic; and rehabilitation measures for medical reasons; informing the patient about the appointment (examination; consultation); preparing medical documentation.The developed algorithm contains systematized information on the activities within appointment (examination; consultation) of patients under follow-up care by a general practitioner; which will allow for the full implementation of prevention and timely detection of complications or exacerbations of diseases (conditions); treatment adjustment; reduction in the number of urgent hospitalizations; implementation of medical rehabilitation; therapeutic and preventive and health resort treatment.…”
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A Novel Loss Minimization Algorithm for the 3-Port Converter in a Multi-Subgrid Microgrid by Rajarshi Basu, Mahesh Kumar Mishra

“…The algorithm achieves an average reduction of 32 to 46% in losses compared to the worst-case scenario, depending on power flow conditions, demonstrating significant improvements in system efficiency. …”
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Random traveling wave pulse-coupled oscillator algorithm of energy-efficient wireless sensor networks by Zeyad Ghaleb Al-Mekhlafi, Zurina Mohd Hanapi, Mohamed Othman, Zuriati Ahmad Zukarnain, Ahmed M Shamsan Saleh

“…To avert this problem, this study proposes a new mechanism called random traveling wave pulse-coupled oscillator algorithm, which is a self-organizing technique for energy-efficient wireless sensor networks using the phase-locking traveling wave pulse-coupled oscillator and random method on anti-phase of the pulse-coupled oscillator model. …”
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A low-complexity AMP detection algorithm with deep neural network for massive mimo systems by Zufan Zhang, Yang Li, Xiaoqin Yan, Zonghua Ouyang

“…It is found that the proposed algorithm enables the reduction of BER without signal prior information, especially in the spatially correlated channel, and has a lower computational complexity compared with existing state-of-the-art methods.…”
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Algorithm of software package of intellectual decision support when designing cyber security system at the enterprise by E. A. Vitenburg, A. V. Nikishova

“…Research objectives are as follows: to develop an algorithm and a mathematical model of the software package for intellectual decision support.Materials and Methods. …”
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A Column-Generation-Based Exact Algorithm to Solve the Full-Truckload Vehicle-Routing Problem by Toygar Emre, Rizvan Erol

“…A route-based insertion algorithm is also employed for initial routes/columns. …”
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Acute Infarct Core Volume Estimation on Noncontrast Computed Tomography With a Deep Learning Algorithm by Santiago Ortega‐Gutierrez, Juan Vivanco‐Suarez, Aaron Rodriguez‐Calienes, Victor Salvia, Milagros Galecio‐Castillo, Mahmoud Dibas, Yujing Lu, Alba Garcia Rey, Cristian Marti, Leonardo Tanzi, Maria Hernandez‐Perez, Tudor Jovin, Marc Ribo

“…The objectives of this article are (1) to develop, train, and internally validate a deep learning algorithm that estimates baseline infarct core volume (ICV) on NCCT in anterior circulation LVO patients, and (2) by using an external set, to ascertain how this algorithm's (aICV‐NCCT) predictive performance compares with Alberta Stroke Program Early Computed Tomography Score‐NCCT and ICV‐CT perfusion in its capacity to estimate the final infarct volume established on diffusion‐weighted magnetic resonance imaging at 24‐ to 48‐hour follow‐up. …”
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Prediction of the Quality of Anxi Tieguanyin Based on Hyperspectral Detection Technology by Tao Wang, Yongkuai Chen, Yuyan Huang, Chengxu Zheng, Shuilan Liao, Liangde Xiao, Jian Zhao

“…The use of hyperspectral imaging combined with multiple algorithms can be used to achieve the fast and non-destructive prediction of free amino acid and tea polyphenol contents in Tieguanyin tea.…”
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Model-based estimation of tokamak plasma profiles and physics parameters: algorithm overview and application to ITER by S. Van Mulders, F. Felici, S.C. McIntosh, F. Carpanese, C.E. Contré, R. Coosemans, O. Kudláček, F. Pastore, S.D. Pinches, M. Reisner, O. Sauter

“…In this work, a model-based estimation algorithm is proposed to improve real-time and post-shot estimation of tokamak plasma profiles. …”
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LG-YOLOv8: A Lightweight Safety Helmet Detection Algorithm Combined with Feature Enhancement by Zhipeng Fan, Yayun Wu, Wei Liu, Ming Chen, Zeguo Qiu

“…Evaluations on the SWHD dataset confirm the effectiveness of the LG-YOLOv8 algorithm. Compared to the original YOLOv8-n algorithm, our approach achieves a mean Average Precision (mAP) of 94.1%, a 59.8% reduction in parameters, a 54.3% decrease in FLOPs, a 44.2% increase in FPS, and a 2.7 MB compression of the model size. …”
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Harmonics Elimination of Reduced Switch Multilevel Inverter Using Henry Gas Solubility Optimization Algorithm by Murni Nabila Mohd Zawawi, Zainuddin Mat Isa, Baharuddin Ismail, Mohd Hafiz Arshad, Ernie Che Mid, Md Hairul Nizam Talib, Muhammad Fitra Zambak

“…Central to this exploration are three distinct objective functions (OFs), meticulously designed to assess the HGSO algorithm’s performance across various modulation indices. …”
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A Lightweight Algorithm for Detection and Grading of Olive Ripeness Based on Improved YOLOv11n by Fengwu Zhu, Suyu Wang, Min Liu, Weijie Wang, Weizhi Feng

“…To address these limitations, this study proposes a lightweight algorithm for detection and grading of olive ripeness based on an Improved YOLOv11n framework. …”
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LoRaBB: An Algorithm for Parameter Selection in LoRa-Based Communication for the Amazon Rainforest by Diogo Soares Moreira, Gilmara Santos, Angela Emi Yanai, Pedro Barreto de Souza, Paulo Victor Fernandes de Melo, Edjair Mota

“…The experimental results indicate that the proposed algorithm achieves a 16.20% reduction in Time on Air (ToA). …”
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Effectiveness of the YEARS Algorithm Added to Classical Clinical Decision-making Rules in Suspected Pulmonary Embolism by Handan Özen Olcay, Şeref Kerem Çorbacıoğlu, Emine Emektar, Yunsur Çevik

“…Conclusion: In this study, the YEARS protocol used in addition to the classical algorithm resulted in a 31% reduction in the need for PCTA. …”
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APPA: An adaptation path planning algorithm for real-time obstacle avoidance in multi-robot systems by Jianzhi Jin, Mou Wu, Ping Fan, Guonian Jin

“…APPA attains a 35% reduction in average pathfinding time compared to PRIMAL.…”
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Ensemble machine learning algorithm for cost-effective and timely detection of diabetes in Maiduguri, Borno State by Emmanuel Gbenga Dada, Aishatu Ibrahim Birma, Abdulkarim Abbas Gora

“…GWO plays a vital role in weight optimization, enabling the reduction of weights in models that are particularly sensitive to noise. …”
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AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis by Yahia Said, Riadh Ayachi, Mouna Afif, Taoufik Saidani, Saleh T. Alanezi, Oumaima Saidani, Ali Delham Algarni

“…This study presents an advanced AI-driven framework, optimized through genetic algorithms, for precise lung segmentation in early cancer diagnosis. …”
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Autonomous walking path planning of underground handling robot based on improved A* and DWA algorithm by Kekun ZHANG, Jiusheng BAO, Junwei AI, Xiaoming YUAN, Yan YIN, Maosen WANG, Shirong GE

“…Besides, aiming at the problem that the traditional DWA algorithm has poor running time and path length, the predictive path evaluation function is constructed by coordinating the constraints of underground roadway speed limit, mobile chassis drive motor limit and handling robot braking distance limit, and the obstacle evaluation sub-function is introduced to improve the DWA algorithm by measuring safety and efficiency. …”
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Explainable machine learning for predicting lung metastasis of colorectal cancer by Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao

“…The Random Forest (RF) algorithm demonstrated the highest predictive capability within the internal test set (AUC of 0.980, AUPR of 0.941). …”
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