PROBLEM SETTING AND SOLUTION OF THE RESPONSE CORRECTION OF ARRIVAL AND DEPARTURE AIR TRAFFIC FLOW IN THE VICINITY OF THE FIELD BY MEANS OF THE GENETIC ALGORITHM by G. N. Lebedev, V. B. Malygin, D. A. Mikhaylin

“…The estimation of additional aviation fuel consumption is used as optimal choice evaluation criterion.The advantages of the genetic algorithm application at decision-making in comparison with today’s “team” solution of the conflict “departure – arrival” in the airfield area are shown.…”
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Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters by Gabriel Serrato de Mendonça Silva, Carlos Alberto Eiras Garcia

“…The operational algorithms are used in MODIS and VIIRS sensors to derive satellite chlorophyll concentration (Csat). …”
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Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters by Gabriel Serrato de Mendonça Silva, Carlos Alberto Eiras Garcia

“…The operational algorithms are used in MODIS and VIIRS sensors to derive satellite chlorophyll concentration (Csat). …”
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Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding by Weidong Zhao, Xiaotong Liu, Jun Jing, Rongchang Xi

“…By fully utilising the feature word and its domain association, the feature word’s position, and the word frequency information, the TF-IDF method and the χ²-C algorithm may effectively improve the representation of the weights on the words. …”
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Optimizing Fuel Economy in Hybrid Electric Vehicles Using the Equivalent Consumption Minimization Strategy Based on the Arithmetic Optimization Algorithm by Houssam Eddine Ghadbane, Ahmed F. Mohamed

“…The Arithmetic Optimization Algorithm is employed in the proposed energy management system to enhance the strategy of maximizing external energy, leading to decreased hydrogen consumption and increased system efficiency. …”
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BeiDou Satellite-Based Augmentation System Algorithm Optimization and Performance Validation of Ionospheric Degradation Parameters with RTCA Protocol by Zhaochen Li, Yueling Cao, Shanshi Zhou, Xiaogong Hu, Ran Liu

“…Given the anticipated high solar activity between 2023 and 2025, ionospheric anomalies may degrade positioning accuracy and significantly impact BDSBAS integrity performance. …”
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Bi-objective green supply chain network design under disruption risk through an extended NSGA-II algorithm by Xiaoqing Wang, Gang Chen, Song Xu

“…Furthermore, emergency events may cause disruptions and seriously reduce the performance of entire supply chain. …”
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Optimized Control of Hybrid Energy Storage Systems Using Whale Optimization Algorithm for Enhanced Battery Longevity and Stability in Microgrids by Nouman Alam Siddiqui, Hira Tahir, Muhammad Akram, Habib Ullah Manzoor

“…Traditional frequency‐based methods (FBM) enhance HESS performance but do not guarantee continuous operation and may lead to BESS degradation. This article proposes an optimized FBM control approach using the whale optimization algorithm (WOA) to improve HESS operation. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Artificial intelligence may increase nodule and cancer detection but may also increase the number of patients undergoing computed tomography surveillance unnecessarily. …”
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Developing a predictive model for septic shock risk in acute pancreatitis patients using interpretable machine learning algorithms by Binglin Song, Ping Liu, Kangrui Fu, Chun Liu

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A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters by Murat Canayaz, Murat Demir, Zeynal Topalcengiz

“…The presence of Salmonella in agricultural waters may be a source of produce contamination. Recently, the performances of various algorithms have been tested for the prediction of indicator bacteria population and pathogen occurrence in agricultural water sources. …”
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Task Allocation Method for Emergency Active Debris Removal Based on the Fast Elitist Non-Dominated Sorting Genetic Algorithm by Hao Lei, Xiang Zhang, Wenhe Liao, Guoning Wei, Shuhui Fan

“…The results show that the high-quality solution search ability of the MC-NSGA-II algorithm is 23.07% higher than that of the standard NSGA-II algorithm.…”
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EDGE DETECTION TECHNIQUE BASED ON BILATERAL FILTERING AND ITERATIVE THRESHOLD SELECTION ALGORITHM AND TRANSFER LEARNING FOR TRAFFIC SIGN RECOGNITION by Milind PARSE, Dhanya PRAMOD

“…The results show that the proposed algorithm achieves optimal Mean Square Error (MSE) and Root Mean Square Error (RMSE) error rates and has a better Signal to Noise Ratio (SNR) and Peak Signal to Noise Ratio (PSNR) ratio than the traditional edge detection algorithms. …”
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Leveraging Artificial Intelligence in Public Health: A Comparative Evaluation of Machine-Learning Algorithms in Predicting COVID-19 Mortality by Eric B. Weiser

“…Methods: Using worldwide data from the Our World in Data COVID-19 dataset, daily mortality from March 2020 to May 2023 was modeled using 16 sociodemographic, healthcare, and policy-related predictor variables. …”
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An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

“…However, conventional reservoir optimization techniques are often computationally intensive and may struggle to deliver satisfactory solutions. …”
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Low Contrast Enhancement Algorithm for Color Image Using Pythagorean Fuzzy Sets With a Fusion of CLAHE and BPDHE Methods by M. Manivasagan, S. Jagatheswari

“…In the field of image processing, improving low-contrast images is essential for enhancing the visibility of features that may be hard to see due to slight intensity variations. …”
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Lattice-Hopping: A Novel Map-Representation-Based Path Planning Algorithm for a High-Density Storage System by Shuhan Zhang, Yaqing Song, Ziyu Chen, Guo Chen, Yongxin Cao, Zhe Gao, Xiaonong Xu

“…However, traditional algorithms may encounter significant optimization challenges due to intricate architectural configurations and traffic constraints of the HDS system. …”
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A novel hybrid approach for thyroid disease detection: Integrating cuttlefish algorithm and simulated annealing for optimal feature selection by Kapil Shrivastava, Saroj Pandey, Rishav Dubey, Mayank Namdev, Vipin Tiwari, Aditi Sharma

“…Thyroid disorders occur due to the malfunctioning of the thyroid gland, which may result in an imbalanced metabolic rate due to inappropriate hormone levels synthesis. …”
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Assessment of medication-related liver and kidney impairment in admitted patients in Depok, Indonesia: an observational study employing the Naranjo algorithm by Nadia Farhanah Syafhan, Ghea Shafa Aldora, Shinta Kamila

“… Liver and kidney impairment caused by medications represents serious side effects that may extend hospital stays and increase the risk of patient death. …”
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Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition by Yihang Zhang, Hang Zhao

“…A multi-objective optimization method based on non-dominated sorting was incorporated into the crayfish optimization algorithm to optimize the key parameters in VMD, then a variational mode decomposition technique for ECG signal processing based on a multi-objective crayfish optimization algorithm (MOCOA-VMD) was proposed, wherein the spectral kurtosis and KL divergence were determined as the indicators for decomposition. …”
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