Sustainable Environmental Monitoring: Multistage Fusion Algorithm for Remotely Sensed Underwater Super-Resolution Image Enhancement and Classification by Wad Ghaban, Jawad Ahmad, Ali Akbar Siddique, Mohammad S. Alshehri, Anila Saghir, Faisal Saeed, Baraq Ghaleb, Mujeeb Ur Rehman

“…This article proposes a novel multistage fusion algorithm for underwater image super-resolution, designed to enhance the quality and spatial resolution of low-resolution underwater images toward a more accurate object characterization. …”
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Retracted: Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Gastroenterology Research and Practice

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Infant Vulnerability Detection At 0-1 Years Old Affected By Stunting Using The K-Nearest Neighbor Algorithm by Moh Abdul Kholik, Cucut Hariz Pratomo

“…The objective of this study is to ascertain the nutritional status of toddlers by utilizing the K-Nearest Neighbors (KNN) algorithm and to evaluate its accuracy in making such determinations. …”
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Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm by G. Ayappan, S. Anila

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IMPROVEMENT OF ALGORITHM FOR FORMATION OF ORTHOGONAL COMPONENTS OF INPUT VALUES IN MICROPROCESSOR RELAY PROTECTION OF POWER LINES IN DISTRIBUTION NETWORKS by F. A. Romaniuk, M. A. Shevaldin

“…The paper considers a new algorithm for formation of orthogonal components of input values in microprocessor relay protection of power lines in distribution networks. …”
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Development and Evaluation of a Deep Learning–Based Pulmonary Hypertension Screening Algorithm Using a Digital Stethoscope by Ling Guo, Nivedita Khobragade, Spencer Kieu, Suleman Ilyas, Preston N. Nicely, Emmanuel K. Asiedu, Fabio V. Lima, Caroline Currie, Emileigh Lastowski, Gaurav Choudhary

“…Conclusions We demonstrated the feasibility of using digital stethoscopes in conjunction with deep learning algorithms as a low‐cost, noninvasive, and easily accessible screening tool for early detection of pulmonary hypertension.…”
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A Novel Framework for Selecting Informative Meteorological Stations Using Monte Carlo Feature Selection (MCFS) Algorithm by Rizwan Niaz, Ibrahim M. Almanjahie, Zulfiqar Ali, Muhammad Faisal, Ijaz Hussain

“…In this paper, the Monte Carlo feature selection and interdependency discovery (MCFS-ID) algorithm-based framework is proposed to identify the important meteorological station in a particular region. …”
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Clean-Room Air Conditioning Control Based on Improved Min-Max Robust Model Predictive Control Algorithm by Qiang Luo, Ting Wang

“…Subsequently, an improved Min Max robust model predictive control algorithm was proposed to control the parameters of the model, and compared and analyzed with the original algorithm. …”
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Efficient and Accurate Optimal Linear Phase FIR Filter Design Using Opposition-Based Harmony Search Algorithm by S. K. Saha, R. Dutta, R. Choudhury, R. Kar, D. Mandal, S. P. Ghoshal

“…The original harmony search algorithm is chosen as the parent one, and opposition-based approach is applied. …”
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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by RAHMAT, Munirul ula, Zara Yunizar

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A Water Balance Model Based on Budyko Framework and Its Calibration through Particle Swarm Optimization Algorithm by Umut Okkan, Umut Kırdemir

“…Model was calibrated with particle swarm optimization (PSO) algorithm. To validate the performance of model calibrated via PSO, statistical measures were assessed. …”
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The Optimal Machine Learning Model for the Precise Prediction of HighPerformance Concrete Strength Property by Yufeng Qian

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An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network by Xiaofeng Yang, Shousheng Zhao, Kangyi Li, Wenjin Chen, Si Zhang, Jingwei Chen

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Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence Method by Amir Sohel, Md Faisal Bin Ashab

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Multi-Objective Task Scheduling for Earth Observation InSAR Satellites via Non-Dominated Sorting Student Psychology Based Optimization Algorithm by Qingxian Jia, Weicheng Lian, Dan Yua, Qi Sun

Subjects: “…Student psychology based optimization algorithm…”
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A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization by Binglin Liu, Qian Li, Zhihua Zheng, Yanjia Huang, Shuguang Deng, Qiongxiu Huang, Weijiang Liu

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A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms by G. Roncoroni, P. Koyan, E. Forte, J. Tronicke, M. Pipan

“…The data set provides a robust framework for validating advanced GPR algorithms and techniques such as pre-stack depth migration, amplitude versus offset analysis and full waveform inversion. …”
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Development of cohort definitions and algorithms to identify patients with Lennox-Gastaut syndrome or Dravet syndrome from real-world administrative healthcare databases by Drishti Shah, Victoria Divino, Justin Chen, Arturo Benitez, Jeannine Roth, J. Scott Andrews

“…A targeted literature review was used to identify retrospective healthcare database studies identifying LGS or DS populations and develop overall draft cohort definitions and algorithms. Country-specific research explored the diagnosis codes and antiseizure medications (ASMs) with available indications for LGS or DS, with the findings used to adapt the cohort definitions and algorithms to country-specific settings. …”
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Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

“…For this, it is also proposed to use studied the feature space dimensionality reduction algorithm to visualize and estimate the clustering accuracy. …”
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Improved Error Reduction and Hybrid Input Output Algorithms for Phase Retrieval by including a Sparse Dictionary Learning-Based Inpainting Method by Jian-Jia Su, Chung-Hao Tien

“…In this paper, we proposed a two-step algorithm that traditional ER/HIO iteration plays as the coarse feature reconstruction, whereas the KSVD-based inpainting technique deals with the fine feature set accordingly. …”
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