ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions by Pavan Kumar S, Nirav Pravinbhai Bhatt

“…ThermOptCOBRA also facilitates efficient loop detection and removal from flux distributions, improving predictive accuracy across flux analysis methods. …”
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Asphalt and Aggregate Fluorescence Tracing Based on Sensors and Ambient Parameter Optimization by Kexi Zong, Hongxi Zhu, Sinan Wu, Donglin Wu, Shuo Pang, Junhao Zhai, Huiying Mao, Yixi Ding

“…This study optimizes the fluorescence tracing method for quantifying the adhesion between asphalt and aggregate and promotes an intellectual approach to material performance detection in pavement engineering.…”
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A critical review on phasor measurement units installation planning and application in smart grid environment by Vivekananda Pattanaik, Binaya Kumar Malika, Subhasis Panda, Pravat Kumar Rout, Binod Kumar Sahu, Indu Sekhar Samanta, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…Thirdly, various techniques are discussed categorically, starting from classical optimization techniques, heuristic and meta-heuristic-based approaches, hybrid techniques, and advanced methods. …”
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Optimal timing of hysteroscopic follow-up to prevent the recurrence of intrauterine adhesions: a retrospective study by Shouli Dao, Lijun Zhang, Chunhua Liu, Huafeng Tan, Junqi Yang, Kani Zou, Shubi Wang

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Investigating the dynamics and uncertainties in portfolio optimization using the Fourier-Millen transform. by Muhammad Hilal Alkhudaydi, Aiedh Mrisi Alharthi

“…Motivated by their use in medical analysis and detection, the purpose of this research was to analyse the efficacy of these methods in establishing the primary factors that go into optimising a particular portfolio. …”
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Large language models for PHM: a review of optimization techniques and applications by Tingyi Yu, Junya Tang, Qingyun Yu, Li Li, Ying Liu, Raul Poler

“…Abstract The rapid advancement of Large Language Models (LLMs) has created unprecedented opportunities for industrial automation, process optimization, and decision support systems. As industries seek to leverage LLMs for industrial tasks, understanding their architecture, deployment strategies, and fine-tuning methods becomes critical. …”
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Optimal Design of Metro Train Logic Control Unit Based on Dual Modular Redundancy Technology by Yang ZHOU, Hongqiang LYU, Huang CHEN, Junxian ZHANG, Lijie SHI

“…The conventional method is to use two sets of system equipment for dual redundancy design to improve the logic control unit (LCU) reliability. …”
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Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…Energy, memory, and delay reduction together with the detection of the offloading task is the multiobjective to achieve. …”
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INS-Based Aeromagnetic Compensation: Sliding Window Optimization for Enhanced Accuracy by Xiaodong Liu, Jiarui Liu, Junqian Zhang, Wanhua Zhu, Qimao Zhang, Guangyou Fang

“…The findings indicate that this method not only optimizes the magnetic compensation capability of small UAVs but also provides a new technical pathway for aeromagnetic measurement.…”
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Optimization Algorithms for Cable Fault Localization and Assessment in Smart Power Systems by Wenxuan Wang, Yali Shi, Minghui Liu

“…Frequency domain reflection (FDR) has good detection and localization ability for defects or faults with weak impedance changes, and has been widely used in the field of cable fault diagnosis, however, in recent years, field experience has shown that this method cannot solve the problem of judging the fault type and severity yet. …”
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Optimal graph representations and neural networks for multichannel time series data in seizure phase classification by Alan A. Díaz-Montiel, Richard Zhang, Milad Lankarany

“…Abstract In recent years, several machine-learning (ML) solutions have been proposed to solve the problems of seizure detection, seizure phase classification, seizure prediction, and seizure onset zone (SOZ) localization, achieving excellent performance with accuracy levels above 95%. …”
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Explainable Model of Fusion Network With Enhanced Optimization Approach for Tuberculosis Diagnosis by C. R. Dhivyaa, K. Nithya, C. Sathiya Kumar, R. Sudhakar

“…The TrioFusionNet + EAMSO model combines features from three CNNs and selects the best ones using an ensemble optimization method. This approach improves accuracy and provides clear explanations of the results, making it more effective than existing methods. …”
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Practical Evaluation Framework for Real-Time Multi-Object Tracking: Achieving Optimal and Realistic Performance by Jumabek Alikhanov, Dilshod Obidov, Mirsaid Abdurasulov, Hakil Kim

“…In contrast, those who are unaware of these optimizations may only achieve a HOTA score of 10%. This finding underscores the critical advantage offered by our evaluation method. …”
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Formulation Approaches for Optimizing Omeprazole Stability in Oral Liquid Dosage Forms by Urszula Adamiak-Giera, Michał Gackowski, Damian Malinowski, Tomasz Osmałek, Marta Karaźniewicz-Łada, Anna Machoy-Mokrzyńska, Monika Białecka

“…At predetermined intervals, samples were withdrawn and analyzed by a validated HPLC method with UV detection to quantify the released omeprazole. …”
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Biological markers as an additional method of determining drowning by Emina Dervišević, Nina Čamdžić, Ermin Mašić, Muhamed Katica, Nedim Šuta, Edina Spahić, Edina Lazović, Aida Bešić

“…This experimental study is a starting point towards the optimization of tests and sampling in cases of unexplained etiology. …”
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Multidisciplinary Delphi consensus on challenges and key factors for an optimal care model in chronic kidney disease by José Luis Górriz, Roberto Alcázar Arroyo, Patricia Arribas, Sara Artola, Sergio Cinza-Sanjurjo, Rafael de la Espriella, Javier Escalada, Lisardo García-Matarín, Luis Martínez, Juan Carlos Julián, José Pablo Miramontes-González, Félix Rubial, Mercedes Salgueira, María José Soler, José Luis Trillo

“…Conclusions: There is consensus on the need to prioritise CKD care at both institutional and societal levels, moving towards optimal models of CKD care based on prevention and early detection of the disease, as well as comprehensive and coordinated patient monitoring and training and awareness-raising at all levels. …”
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Application and optimization of minimally invasive cell-free DNA techniques in oncogenomics by Manish Kumar, Yashmin Choudhury, Sankar Kumar Ghosh, Rosy Mondal

“…Considering the limitations, cell-free DNA has emerged as a surrogate alternative, facilitating preoperative chemoradiotherapy (p < 0.0001) treatment response in rectal cancer and detection of biomarker in lung cancer. This potential of cell-free DNA in several other cancers has yet to be explored based on clinical relevance by optimizing the preanalytical factors. …”
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Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection by Sara Roos-Hoefgeest, Mario Roos-Hoefgeest, Ignacio Álvarez, Rafael C. González

“…Accurate motion between the sensor and workpiece, usually managed by robotic systems, is critical for maintaining optimal distance and orientation. This paper introduces a novel Reinforcement Learning (RL) approach to optimize inspection trajectories for profilometric sensors based on the boustrophedon scanning method. …”
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Improving Prostate Image Segmentation Based on Equilibrium Optimizer and Cross-Entropy by Omar Zarate, Salvador Hinojosa, Daniel Ortiz-Joachin

“…Over the past decade, the development of computer-aided detection tools for medical image analysis has seen significant advancements. …”
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Vehicle Routing Optimization Based on Multimedia Communication and Intelligent Transportation System by Weiyuan Huang, Yanyan Chen, Xun Zhu

“…Based on multimedia communication and intelligent transportation system, this article optimizes the vehicle path and realizes the application of intelligent transportation. …”
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