Daily reference evapotranspiration prediction in Iran: A machine learning approach with ERA5-land data by Ali Asghar Zolfaghari, Maryam Raeesi, Giuseppe Longo-Minnolo, Simona Consoli, Miles Dyck

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Design of Periodic Neural Networks for Computational Investigations of Nonlinear Hepatitis C Virus Model Under Boozing by Abdul Mannan, Jamshaid Ul Rahman, Quaid Iqbal, Rubiqa Zulfiqar

“…We employ periodic neural networks, optimized using a hybrid genetic algorithm and the interior-point algorithm, to solve a system of six coupled nonlinear differential equations representing hepatitis C virus dynamics. …”
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Association between different insulin resistance surrogates and erectile dysfunction in non-diabetic men: a large population-based study by Shenghao Wu, Weiting Xia

“…When segmenting effects were detected, recursive algorithms were used to determine potential inflection points. …”
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Evaluation of Preferred Automated Driving Patterns Based on a Driving Propensity Using Fuzzy Inference System by Sooncheon Hwang, Dongmin Lee

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Research on Two-Stage Data Compression at the Acquisition Node in Remote-Detection Acoustic Logging by Xiaolong Hao, Yangtao Hu, Bingnan Yan, Hang Hui, Yunxia Chen, Bingqi Zhang

“…This approach includes a field programmable gate array (FPGA)-based hardware system and a two-stage downhole data compression algorithm combining wavelet transform and adaptive differential pulse-code modulation paired with ground decompression software. …”
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<strong>Hybrid neural network with genetic algorithms for predicting distribution pattern of <em>Tetranychus urticae</em> (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Ir... by Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi Sohani

“…Results showed that in training and test phases of neural network combined genetic algorithm, there was no significant difference between variance and statistical distribution of actual values and predicted values, but distribution was no significant. …”
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Feasibility of thin-slice abdominal CT in overweight patients using a vendor neutral image-based denoising algorithm: Assessment of image noise, contrast, and quality. by Akio Tamura, Manabu Nakayama, Yoshitaka Ota, Masayoshi Kamata, Yasuyuki Hirota, Misato Sone, Makoto Hamano, Ryoichi Tanaka, Kunihiro Yoshioka

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End-to-End Architecture for English Reading and Writing Content Assessment Based on Prompt Learning by Su-Qin Wu, Ming-Yong Pang, Xue-Mei Sun, Xin-Jian Wang, Yun-Peng Ji

“…The algorithm preprocesses the input English texts through the prompt learning framework and uses multi-scale attention mechanisms to improve the model&#x2019;s ability to capture features at different linguistic levels. …”
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Computer Vision-Based Concrete Crack Identification Using MobileNetV2 Neural Network and Adaptive Thresholding by Li Hui, Ahmed Ibrahim, Riyadh Hindi

“…In addition, an advanced algorithm was developed to detect cracks and evaluate crack widths in high-resolution images. …”
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Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators by Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

“…This paper demonstrates the power of differentiability for solving MOO problems in particle accelerators using a deep differentiable reinforcement learning (DDRL) algorithm. …”
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Potential Adverse Drug Events Identified with Decision Support Algorithms from Janusmed Risk Profile—A Retrospective Population-Based Study in a Swedish Region by Tora Hammar, Emma Jonsén, Olof Björneld, Ylva Askfors, Marine L. Andersson, Alisa Lincke

“…Janusmed Risk Profile is a CDSS evaluating the risk for nine common or serious ADEs resulting from combined pharmacodynamic effects. …”
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Analysis and evaluation of healthcare delivery to patients with coronary artery disease using PC-based medical data by A. M. Nazarov, S. N. Tolpygina, I. P. Bolodurina

“…Using PC-based medical information technologies, analyze and evaluate inpatient and outpatient care for patients with coronary artery disease (CAD) with the development and testing of machine learning algorithms.Material and methods. …”
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Method of calculating the pressure on the soil of wheeled tractors by V. Yu. Revenko, A. N. Nazarov, V. I. Skorlyakov

“…Insignificant differences in the assessment of the maximum pressure on the soil, obtained as a result of measurements and calculations (the difference is 1.9-3.3 %) indicate a high degree of reliability of the developed methodology, as well as the possibility of its application in engineering practice to evaluate the functional indicators of tractors, including taking into account changes in their size and mass parameters when equipped with ballast weights, agricultural machines, implements, dual tires, etc. …”
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Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response. by Jurgen Vercauteren, Gertjan Beheydt, Mattia Prosperi, Pieter Libin, Stijn Imbrechts, Ricardo Camacho, Bonaventura Clotet, Andrea De Luca, Zehava Grossman, Rolf Kaiser, Anders Sönnerborg, Carlo Torti, Eric Van Wijngaerden, Jean-Claude Schmit, Maurizio Zazzi, Anna-Maria Geretti, Anne-Mieke Vandamme, Kristel Van Laethem

“…The predictive ability of Rega version 8 was analysed in comparison with that of previous evaluated version Rega 5 and two other algorithms (ANRS v2011.05 and Stanford HIVdb v6.0.11). …”
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Evaluating a discretized data acquisition method for couch modeling to streamline the commissioning process of radiological instruments by Syouta Tomimoto, Yusuke Saeki, Okihiro Motoda, Masato Tanaka, Syouki Tsumoto, Hana Nishikawa, Yuki Miyashima, Makiko Higuchi, Tadashi Tani, Kuniaki Katsui, Yoshinori Tanabe

“…Conclusions The optimal couch surface ED dose difference trend was identified, and the effectiveness indicated using the dose difference score from discrete-angle couch modeling. …”
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Quality evaluation of synthetic CT using a gamma analysis for prostate cancer MR-only radiotherapy by Viktor Babka, Lubos Rehounek, Iva Jakubcová, Igor Sirak, Petr Paluska, Linda Kašaová, Milan Vosmik, Jakub Grepl

“…GA was performed with thresholds of 100 HU and 70 HU for HU differences and 3 mm for DTA to evaluate image quality. …”
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The effects of nursing care package implementation on pressure injuries prevention in the intensive care unit by Sevda Önen, Özlem Doğu

“…Abstract Aim The study was aimed to evaluate the effect of the care package prepared in accordance with the algorithm in the intensive care unit on the prevention of pressure injuries. …”
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Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction by Yukun Wang, Hai-Wen Li, Wenhan An, Yudong Mao, Kaimin Yang, Jiying Liu

“…Correlation analysis of the evaluation index is carried out and eight different machine learning techniques are adopted for prediction, including Elman neural network, back propagation neural network, long short-term memory, random forest (RF), support vector machine, bidirectional long short-term memory, Firefly algorithm optimized Elman neural network, and genetic algorithm optimized back propagation neural network (GA-BP). …”
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Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study by Sun Q, Liu Z, Ding T, Shi C, Hou N, Sun C

“…Model performance was evaluated using mean square error (MSE), coefficient of determination (R²), Pearson linear correlation coefficient (PLCC), Spearman rank correlation coefficient (SRCC), and Kendall rank correlation coefficient (KRCC).Results: After feature selection, three key features were retained: main pulmonary artery CT value, ascending aorta CT value, and the difference in noise values between the left and right main pulmonary arteries. …”
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The Volume-Based Pollution-Routing Problem with Time Windows: A Case Study by Bilal Bencharif, Mohamed Amine Beghoura, Emrah Demir

“…Computational experiments reveal a significant difference of over 20% between fixed and variable speed assumptions. …”
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