Optimized ensemble learning for non-destructive avocado ripeness classification by Panudech Tipauksorn, Prasert Luekhong, Minoru Okada, Jutturit Thongpron, Chokemongkol Nadee, Krisda Yingkayun

“…This study offers a scalable and clear method for non-destructive ripeness detection. The findings, despite some limitations like overfitting and reliance on spectral data quality, support future real-time deployment in agriculture.…”
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Optimal spirometry thresholds for the prediction of chronic airflow obstruction: a multinational longitudinal study by Abby H.S. Lam, Sheikhah A. Alhajri, James Potts, Imed Harrabi, Mahesh Padukudru Anand, Christer Janson, Rune Nielsen, Dhiraj Agarwal, Andrei Malinovschi, Sanjay Juvekar, Meriam Denguezli, Thorarinn Gislason, Rain Jõgi, Vanessa Garcia-Larsen, Rana Ahmed, Asaad Ahmed Nafees, Parvaiz A. Koul, Althea Aquat-Stewart, Peter Burney, Ben Knox-Brown, Andre F.S. Amaral

“…Introduction Chronic airflow obstruction is key for COPD diagnosis, but strategies for its early detection are limited. We aimed to define the optimal z-score thresholds for spirometry parameters to discriminate chronic airflow obstruction incidence. …”
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Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF by Jing XU, Shuya TIAN, Tiejun ZHAO, Xiaogang GAO, Ju YE, Lingyan BU, Wenmiao LIU

“…To solve the voltage deviation problem caused by the high penetration of distributed generation (DG) in the distribution networks, a strategy is proposed for optimal allocation of static var generator (SVG) with consideration of voltage mitigation of DG grid-connected inverter (GCIN) and voltage detection based active power filter (VDAPF). …”
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Statistics on the Industry Structure of the Russian Economy and its Optimization Model by O. V. Morozov, M. A. Vasiliev

“…Comparison of actual and model (optimal) indicators of the magnitude of domestic industries as a way to detect non-optimality (the discrepancies) of its structure, shows the path of transition from its actual status to “the best” structure which describes a quantitative model of optimal combination of scale of its industries.Conclusion. …”
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Anaemia in Patients with Ulcerative Colitis: Risk Factors and Therapy Optimization by T. Ye. Chernyshova, S. N. Styazhina, A. A. Valinurov, V. V. Sokolova

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Neural Network Methods in the Development of MEMS Sensors by Yan Liu, Mingda Ping, Jizhou Han, Xiang Cheng, Hongbo Qin, Weidong Wang

“…Relevant issues in the usage of NNs, such as available models, dataset construction, and parameter optimization, are presented. Many application scenarios have demonstrated that NN methods can enhance the speed of predicting device performance, rapidly generate device-on-demand solutions, and establish more accurate calibration and compensation models. …”
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Comparative Analysis of Facial Expression Recognition Methods by Denys - Florin COT

“… This paper aimed to investigate human emotion recognition through the analysis of facial expressions, using both classical machine learning methods and advanced techniques based on deep neural networks. …”
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FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency by Valerie Restat, Indra Diestelkämper, Meike Klettke, Uta Störl

“…As an adaptive and easily extendable framework, FONDUE operates similarly to proven methods of database query optimization. Analogously, it consists of the following parts: Rule-based optimization, where the appropriate data cleaning algorithms are selected based on use case constraints, optimizer hints in the form of best practices, and cost-based optimization, where the costs are measured in terms of data quality. …”
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Current methods in the diagnosis of invasive meningococcal disease by Ergin Ciftci, Duygu Ocal, Ayper Somer, Hasan Tezer, Dilek Yilmaz, Sirac Bozkurt, Oldac Uras Dursun, Şeyhmus Merter, Ener Cagri Dinleyici

“…Timely recognition of meningococcal infection and immediate, precise, and specific identification of Neisseria meningitidis are essential for optimal clinical management and enhanced outcomes, monitoring evolving meningococcal epidemiology, detecting outbreak activity, and providing an effective public health response. …”
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Optimizing Stroke Classification with Pre-Trained Deep Learning Models by Serra Aksoy, Pinar Demircioglu, Ismail Bogrekci

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Guidelines for optimized gene knockout using CRISPR/Cas9 by Claude Van Campenhout, Pauline Cabochette, Anne-Clémence Veillard, Miklos Laczik, Agnieszka Zelisko-Schmidt, Céline Sabatel, Maxime Dhainaut, Benoit Vanhollebeke, Cyril Gueydan, Véronique Kruys

“…Different methods can also be used to detect off-target cleavages and decrease the risk of unwanted mutations. …”
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Optimization criteria for ordering myeloid neoplasm next‐generation sequencing by Savanah D. Gisriel, John G. Howe, Christopher A. Tormey, Richard Torres, Karl M. Hager, Henry M. Rinder, Alexa J. Siddon

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Comparing circular and flexibly-shaped scan statistics for disease clustering detection by Lina Wang, Xiang Li, Zhengbin Zhang, Haoxun Yuan, Pengfei Lu, Yaru Li

“…These findings provide valuable insights for optimizing disease clustering detection methods and enhancing public health interventions.…”
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Optimal intestinal graft selection for reconstruction of extended ureteral stricture: an animal model study by S. V. Kotov, R. I. Guspanov, A. G. Yusufov, O. V. Gaina, A. L. Aprosimov, I. V. Lapin, M. M. Zobnin, N.  O. Larionova, N. V. Trykina, T. Yu. Luskatova, O. V. Bogdanova

“…However, despite the great world experience, the search for the optimal method of intestinal reconstruction does not stop, which determines the relevance of conducting an experimental prospective study.Objective. …”
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Optimal protamine dosing after cardiopulmonary bypass: The PRODOSE adaptive randomised controlled trial. by Lachlan F Miles, Christiana Burt, Joseph Arrowsmith, Mikel A McKie, Sofia S Villar, Pooveshnie Govender, Ruth Shaylor, Zihui Tan, Ravi De Silva, Florian Falter

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Compressing Phase Space Detects State Changes in Nonlinear Dynamical Systems by Valeria d’Andrea, Manlio De Domenico

“…Equations governing the nonlinear dynamics of complex systems are usually unknown, and indirect methods are used to reconstruct their manifolds. In turn, they depend on embedding parameters requiring other methods and long temporal sequences to be accurate. …”
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A Hybrid Mechanism to Detect DDoS Attacks in Software Defined Networks by ÙAfsaneh Banitalebi Dehkordi, MohammadReza Soltanaghaei, Farsad Zamani Boroujeni

“…Given the importance of this issue,the purpose of this paper is to increase the accuracy of DDoS attack detection using the second order correlation coefficient technique based on â…-entropy according to source IP and selection of optimal features.To select the best features, by examining the types of feature selection algorithms and search methods, the WrapperSubsetEval feature selection algorithm, the BestFirst search method, and the best effective features were selected. …”
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Study on the Structure Optimization of Lever Balance Type Erecting Mechanism by Liu Yuxi, Gao Qinhe, Feng Jiangtao, Cheng Xiangrui

“…Aiming at the problems that the large thrust of erecting mechanism and the high demand on carrying capacity of cylinder,the virtual prototype model is established by using the ADAMS software,the method of setting the size of the contact force to detect motion interference is proposed. …”
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Educational Data Mining by Optimally Fusing Shallow and Deep Features by Bo-An Xiao

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Dynamic Positioning and Optimization of Magnetic Target Based on Binocular Vision by Jing Li, Yang Wang, Ligang Qu, Guangming Lv, Zhenyu Cao

“…Aiming at the problems of visual occlusion, reduced positioning accuracy and pose loss in the dynamic scanning process of aviation large components, this paper proposes a binocular vision dynamic positioning method based on magnetic target. This method detects the spatial coordinates of the magnetic target in real time through the binocular camera, extracts the target center to construct a unified reference system of the measurement platform, and uses MATLAB simulation to analyze the influence of different target layouts on the scanning stability and positioning accuracy. …”
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