DISCO: Efficient Diffusion Solver for large-scale Combinatorial Optimization problems by Hang Zhao, Kexiong Yu, Yuhang Huang, Renjiao Yi, Chenyang Zhu, Kai Xu

“…Despite recent advancements in neural solvers, their limited expressiveness struggles to capture the multi-modal nature of CO landscapes. While some research has adopted diffusion models, these methods sample solutions indiscriminately from the entire NP-complete solution space with time-consuming denoising processes, limiting scalability for large-scale problems. …”
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Global Ocean Forecast Accuracy Improvement Due to Optimal Sensor Placement by Turko Nikita, Lobashev Aleksandr, Ushakov Konstantin Viktorovich, Kaurkin Maksim Nikolaevich, Kal'nickiy Leonid Yur'evich, Semin Sergey, Ibraev Rashit

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An optimized generative adversarial network for state estimator in electric power systems by Ying-Yi Hong, Yen-Cheng Wang, Weina Zhang

“…To address these challenges, an innovative state estimator based on a Wasserstein Generative Adversarial Network (WGAN) is proposed in this paper, implemented through two iterative optimization loops. In this approach, the data distribution is captured by the generative network, while the probability that sampled datasets originate from the training datasets is evaluated by the discriminative network. …”
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Multi-objective multi-workflow task offloading based on evolutionary optimization by Teliekebieke Misha, Lisheng Sun, Zheng-yi Chai

“…Simulation results demonstrate that our algorithm optimally balances delay and energy consumption requirements compared to existing methods, while enhancing the diversity and convergence of non-dominated solutions.…”
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Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications by Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai

“…Comprehensive computational experiments and result analysis demonstrate that the proposed algorithm consistently outperforms the comparison methods while exhibiting remarkable stability. Specifically, the experimental results show that the algorithm achieves superior F-score performance on 9 out of 10 datasets and outperforms in accuracy on 8 out of 10 datasets.…”
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ENERGETICALLY OPTIMAL WORK OF WATER INTAKE STRUCTURES FROM UNDERGROUND SOURCES by I. Yu. Purusova

“…Conclusion Energetically optimal work of water intake structures with separate pressure lines, helps to reduce water losses, while achieving significant savings in electricity. …”
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Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease by Hsin-I Chang, Mi-Chia Ma, Kuo-Lun Huang, Chung-Gue Huang, Shu-Hua Huang, Chi-Wei Huang, Kun-Ju Lin, Chiung-Chih Chang

“…Abstract Background and objectives Early and cost-effective identification of amyloid positivity is crucial for Alzheimer’s disease (AD) diagnosis. While amyloid PET is the gold standard, plasma biomarkers such as phosphorylated tau 217 (pTau217) provide a potential alternative. …”
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Functional characterization of hybrid porphyrincarbon dot nanostructures for optimized photocatalytic performance by Banta Evangelia, Kampouri Christina, Ladomenou Kalliopi, Kravari Kalliopi, Roussi Maria, Thysiadou Anna, Chalaris Michail

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Design optimization of multipoles radial magnetic bearings for large industrial rotors by Antoine S. Dimitri, Nada A. Rashed, Hesham A. Hegazi, Mohamed H. El-Shazly

“…The results of the two methods are compared. Parameters for the obtained designs are calculated to evaluate the optimized design. …”
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GIS spatial optimization for agricultural crop allocation using NSGA-II by Tipaluck Krityakierne, Pornpimon Sinpayak, Noppadon Khiripet

“…Using geographic information systems (GIS) and mathematical optimization, the present study aims to determine optimal agricultural crop allocation. …”
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Indonesian Banking Stock Portfolio Optimization Based on Ridge Regression Prediction by Moch Panji Agung Saputra, Deva Putra Setyawan, Alim Jaizul Wahid

“…Traditional asset allocation strategies such as equal weighting or based on historical performance have limitations in dynamic market conditions, while the application of machine learning, especially Ridge Regression, in stock return prediction and portfolio optimization in the Indonesian market has not been widely explored. …”
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Crystal structure prediction based on diffusion model and graph network optimization by Tao Hong, Jiong Yang, Guixin Cao

“…We evaluated our method on the prediction of crystal structures of 29 compounds and found that DiffOA achieves a speed three times faster while maintaining comparable performance to GNNs-based optimization method. …”
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Optimizing FCN for devices with limited resources using quantization and sparsity enhancement by Muhammad Faizan-Khan, Nisar Ali, Raja Hashim Ali, Areej Alasiry, Mehrez Marzougui, Shabbab Ali Algamdi, Yunyoung Nam

“…Our results demonstrate that this method significantly enhances sparsity, achieving up to 40%, while preserving performance, yielding an impressive 89.3% pixel accuracy under extreme quantization conditions. …”
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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

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Spinoplastic Surgery: A Review of Techniques, Indications, and Optimal Patient Selection by Daniel Vernik, Camryn Payne, Krishna Sinha, Casey Martinez, Walter Nicholas Jungbauer, Jonathan L. Jeger, Michael Bohl, Alexander E. Ropper, Sebastian Winocour, Edward Reece

“…<b>Methods:</b> We performed a narrative review of English language literature through April 2025. …”
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An Optimization Framework for Allocating and Scheduling Multiple Tasks of Multiple Logistics Robots by Byoungho Choi, Minkyu Kim, Heungseob Kim

“…To address this, we propose a five-step optimization framework that reduces computation time while maintaining practical applicability. …”
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Complex Methodology for Parameter Optimization of Dynamic Injection Regulator Ad- justment by G. T. Kulakov, M. L. Harelyshava

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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…To address this instability, an optical diffusion CMFD method (odCMFD) strategy was implemented to optimize the original CMFD formulation based on cylindrical geometry. …”

Optimal UAV Deployment for Data Collection in Deadline-based IoT Applications by Baghdad Science Journal

“…In the proposed method, data collection was done with minimum energy consumption of IoTs as well as UAVs. …”
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Smart Building Electrical Energy Optimization Through Neural Network Techniques by El Kamili Moad, Touairi Souad, Mabrouki Mustapha

“…This paper presents a new approach to optimizing the use of electrical energy in smart buildings using neural network techniques. …”
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