Application of an improved LSTM model based on FECA and CEEMDAN VMD decomposition in water quality prediction by Jie Long, Chong Lu, Yiming Lei, Zhong Yuan Chen, Yihan Wang

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Development and testing of an open source mobile application for audiometry test result analysis and diagnosis support by Michał Kassjański, Marcin Kulawiak, Tomasz Przewoźny, Dmitry Tretiakow, Andrzej Molisz

“…The application workflow is divided into three main stages: scanning, digitalization and classification of the audiogram. …”
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Permanent terrestrial laser scanning for near-continuous environmental observations: Systems, methods, challenges and applications by Roderik Lindenbergh, Katharina Anders, Mariana Campos, Daniel Czerwonka-Schröder, Bernhard Höfle, Mieke Kuschnerus, Eetu Puttonen, Rainer Prinz, Martin Rutzinger, Annelies Voordendag, Sander Vos

“…Recent years have seen a strong increase in the employment of such systems for different scientific applications in geosciences, environmental and ecological sciences, including forestry, glaciology, and geomorphology. …”
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A Quantum-Classical Method Applied to Material Design: Photochromic Materials Optimization for Photopharmacology Applications by Qi Gao, Michihiko Sugawara, Paul D. Nation, Takao Kobayashi, Yu-ya Ohnishi, Hiroyuki Tezuka, Naoki Yamamoto

“…On a quantum simulator, results are found to be in excellent agreement with those obtained by an exact eigensolver. Utilizing error suppression and mitigation techniques, cVQD on a real quantum device produces results with accuracy comparable to calculations on the simulator. …”
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Degradation of tartrazine dye using advanced oxidation process: Application of response surface methodology for optimization by Fetcia Jackulin, P. Senthil Kumar, Gayathri Rangasamy

“…The optimum conditions were found to be pH-5.34, time- 113.58 min, NP- 0.89 g, SPS- 15.40 mM, and predicted degradation efficiency - 97.22% which was correlated to the experimental value- 96.66% with minimal error. Application of SO4−. radical implied an efficient degradation due to the involvement of both SO4−. and hydroxyl (OH-.) radical. …”
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Application of artificial intelligence and red-tailed hawk optimization for boosting biohydrogen production from microalgae by Hegazy Rezk, Ali Alahmer, Abdul Ghani Olabi, Enas Taha Sayed

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Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis by Agostino Marengo, Vito Santamato

“…This study emphasizes the importance of hybrid quantum-classical models and cross-disciplinary research to bridge the gap between cutting-edge quantum computing theory and its practical applications in healthcare.…”
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Accelerating food sustainability via the application of evapotranspiration in the semi-arid region and its environment of Nigeria by Chinedu Callistus Edebeatu, Gabriel Friday Ibeh, Cecily Ogechi Nwokochia

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A Non-Invasive Approach for Facial Action Unit Extraction and Its Application in Pain Detection by Mondher Bouazizi, Kevin Feghoul, Shengze Wang, Yue Yin, Tomoaki Ohtsuki

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A Machine Learning Approach to Single Garnet Geothermometry and Application to Tracing the Fingerprint of Superdeep Diamonds by Qiwei Zhang, Matthew F. Hardman, Thomas Stachel, Ingrid Chinn, Michael Seller, Bruce Kjarsgaard, D. Graham Pearson

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Estimating timber assortment reduction and sawlog proportions with the application of harvester measurements and open big geodata by Ville Vähä-Konka, Lauri Korhonen, Kalle Kärhä, Matti Maltamo

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Application of Artificial Intelligence in rheumatic disease classification: an example of ankylosing spondylitis severity inspection model by Chih-Wei Chen, Hao-Hung Tsai, Chao-Yuan Yeh, Cheng-Kun Yang, Hsi-Kai Tsou, Pui-Ying Leong, James Cheng-Chung Wei

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Deep-Learning-Based Approach in Imaging Radiometry by Aperture Synthesis: Application to Real SMOS Data by Ali Khazaal, Richard Faucheron, Nemesio J. Rodriguez-Fernandez, Eric Anterrieu

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Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis by Ben Gabrielson, Hanlu Yang, Trung Vu, Vince Calhoun, Tulay Adali

“…We introduce methods for random and deterministic coresets, minimizing error via a measure of discrepancy between the coreset and full tensor. …”
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Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications by Zihan Wang, Ruichen Chen, Shengyao Lu, Ian Then, Di Niu, Xihua Wang

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Fabrication of CuSn functionally gradient electrode and its application in EDM for processing micro-groove by Bin Xu, Weitong Liu, Shutian Zhang, Likuan Zhu, Qingyong Zhou, Xiaoyu Wu

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Advanced Signal Processing Algorithm-Based State Estimation and Denoising of ECG Signals for Biomedical Applications by Saad Arif, Mohammad Maroof Maroof Siddiqui, Nayef Alqahtani, Kamran Shah, Muhammad Attique Attique Khan, Naoufel Kraiem

“…Quantitatively, the process achieves a mean square error (MSE) of 0.001382, representing a 48.5% improvement over the variant without the attention mechanism (MSE =0.002682). …”
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The Applicability Evaluation of Multisource Precipitation Data for Runoff Simulation in a Typical Basin on the Tianshan Mountains by WANG Wenyu, LIU Gang, WANG Xiaoyan, PANG Liling, FENG Tongfei, GU Huanghe

“…[Objective] To explore the differences in precipitation characteristics for multisource precipitation products and their applicability for runoff simulation in an alpine basin on the Tianshan Mountains. …”
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The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

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Astigmatism research and application of vector method of the last half century: a bibliometric and visualized analysis by Jiamei Zhang, Jiamei Zhang, Lulu Xu, Lulu Xu, Mengyuan Shan, Liyun Yuan, Yi Dong, Yi Dong, Yan Wang, Yan Wang, Yan Wang

“…BackgroundAs a common type of refractive error, astigmatism has always been one of the important factors affecting visual quality in clinical practice and it is quite an important public health burden. …”
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