WANG TILE SIZE IN TERMS OF CIRCULAR PARTICLE DYNAMICS by David Šedlbauer

“…The Wang tile sets are generated via algorithm with molecular dynamics and adaptive boundaries approach. …”
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Compile-Time Fully Homomorphic Encryption: Eliminating Online Encryption via Algebraic Basis Synthesis by Dongfang Zhao

“…Instead of invoking encryption algorithms at runtime, our method synthesizes ciphertexts from precomputed encrypted basis vectors using only homomorphic additions, scalar multiplications, and randomized encryptions of zero. …”
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A Projected Alternating Least square Approach for Computation of Nonnegative Matrix Factorization by M. Rezghi, M. Yousefi

“…At each step of ALS algorithms two convex least square problems should be solved, which causes high computational cost.   …”
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Diabetes-focused food recommender system (DFRS) to enabling digital health. by Esmael Ahmed, Mohammed Oumer, Medina Hassan

“…Clinical validation of the system showed a reduction in HbA1c levels, glycemic variability, and incidents of hyper- and hypoglycemia. …”
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Sample Weighting Methods for Compensating Class Imbalance in Elephant Flow Classification by Piotr Jurkiewicz, Robert Wojcik, Jerzy Domzal

“…Analysis reveals that one of our proposed methods based on square root weighting significantly outperforms standard class balancing, offering up to 72% gains in flow operations reduction metric across multiple algorithms. These findings provide valuable insights for researchers and practitioners working on flow classification problem, contributing to more efficient network traffic management systems.…”
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A coherent approach to quantum-classical optimization by Andrés N. Cáliz, Jordi Riu, Josep Bosch, Pau Torrente, Jose Miralles, Arnau Riera

“…Abstract Hybrid quantum-classical optimization techniques, which incorporate the pre-optimization of Variational Quantum Algorithms using Tensor Networks, have been shown to allow for the reduction of quantum computational resources. …”
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Operation strategy analysis for the passenger and freight shared transportation system by Zuoning Jia, Siyuan Yang, Kun An, Wanjing Ma

“…A customized heuristic algorithm is developed, incorporating a vector clustering method, a matching technique, and parallel computation. …”
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Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence by Chadaga Krishnaraj, Khanna Varada Vivek, Prabhu Srikanth, Sampathila Niranjana, Chadaga Rajagopala, Palkar Anisha

“…Hence, supervised machine learning (ML) algorithms and several hyperparameter tuning techniques, including Bayesian optimization, have been utilized in this study to predict MS in patients. …”
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Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements by Raghavendra M Devadas, Sowmya T

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NICE guidance to working with real-world data by A. Sh. Motrinchuk, A. R. Kasimova, E. A. Novoderezhkina

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Optimizing Smart City Strategies: A Data-Driven Analysis Using Random Forest and Regression Analysis by Omer Bafail

“…Similarly, factors like education, sanitation, healthcare, and government transparency are closely associated with successfully implementing sharing platforms. …”
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Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks by De Gu, Jishuai Wang, Ji Li

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Bent Femoral Nail Removal Technique: An Illustrative Case Report by T Revanth, Giriraj Harshavardhan

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Encoding and Decoding of Secret Messages Using Matrices by James, Niwagaba

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Interventions to improve referrals from primary care to outpatient specialist services for chronic conditions: a systematic review and framework synthesis update by Layla Bolton Saghdaoui, Smaragda Lampridou, Sara Tavares, Rachael Lear, Alun Huw Davies, Mary Wells, Sarah Onida

“…When used alone, referral algorithms and staff education were less effective at improving referral rates or appropriateness. …”
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The Quest for the Best Explanation: Comparing Models and XAI Methods in Air Quality Modeling Tasks by Thomas Tasioulis, Evangelos Bagkis, Theodosios Kassandros, Kostas Karatzas

“…Moreover, the evaluation showed that models retained a substantial degree of predictive power (R² > 0.93) even in a reduced complexity size. …”
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Efficient Learning of Long-Range and Equivariant Quantum Systems by Štěpán Šmíd, Roberto Bondesan

“…Further, we show that learning algorithms equivariant under the automorphism group of the interaction hypergraph achieve a sample complexity reduction, leading in particular to a constant number of samples for learning sums of local observables in systems with periodic boundary conditions. …”
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Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System by Ling Jian, Shuqian Shen, Yunquan Song

“…To heel, the LS-SVM based on MINRES method is used to track a practical problem originated from blast furnace iron-making process: changing trend prediction of silicon content in hot metal. The MINRES method-based LS-SVM can effectively perform feature reduction and model selection simultaneously, so it is a practical tool for the silicon trend prediction task.…”
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Possibilities of using artificial intelligence technologies in the morphological diagnosis of inflammatory bowel diseases (literature review) by E. G. Churilova, A. B. Kazumova, Kh. M. Akhrieva, N. V. Pachuasvili, A. S. Tertychnyy

“…Endocytoscopy and real-time visualization algorithms improve the accuracy of early detection of mucosal dysplasia. …”
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The 3D tooth model segmentation method based on GAC+PointMLP network by Jianjun Chen, Liyuan Zheng, Huilai Zou, Jiafa Mao, Weiguo Sheng

“…Compared to other traditional segmentation algorithms, the proposed method shows improvements of 1.1, 2.04, 1.06, 2.2, and 1.8 percentage points in Overall Accuracy (OA), Sensitivity (SEN), Positive Predictive Value (PPV), and Intersection Over Union (IoU), respectively. …”
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