AI-Based Anomaly Detection and Optimization Framework for Blockchain Smart Contracts by Hassen Louati, Ali Louati, Elham Kariri, Abdulla Almekhlafi

“…Experimental results on Ethereum transaction datasets demonstrate that the proposed method achieves significant improvements in anomaly detection accuracy and computational efficiency compared to conventional approaches, offering a practical and scalable solution for smart contract monitoring and optimization.…”
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LX-mixers for QAOA: Optimal mixers restricted to subspaces and the stabilizer formalism by Franz G. Fuchs, Ruben Pariente Bassa

“…This can be useful in the setting when the quantum approximate optimization algorithm (QAOA), a popular meta-heuristic for solving combinatorial optimization problems, is applied in the setting where the constraints of the problem lead to a feasible subspace that is large but easy to specify. …”
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Object Re-Identification Based on Federated Incremental Subgradient Proximal Optimization by Li Kang, Chuanghong Zhao, Jianjun Huang

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Optimization of a bearing geometry for a cervical total disc replacement by Lucia Kölle, Markus Flohr, Gregory Pryce, Andrew R. Beadling, Michael Bryant, Richard M. Hall, Stephen J. Ferguson, Benedikt Helgason

“…The design optimization aims to functionally replace the structures that are commonly excised (removed) or dissected (cut) during TDR implantation in the anterior column.ResultsThe optimized bearing geometry was able to replicate the moment-rotation curve of the anterior column of the natural C6/C7 level during coupled flexion/extension-anterior/posterior translation movement. …”
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Robust object counting through distribution uncertainty matching and optimal transport by Sabri Boughorbel, Fethi Jarray, Rachida Zegour, Nauman Ullah Gilal, Khaled Al Thelaya, Marco Agus, Jens Schneider

“…We provide a theoretical analysis and show that the generalization error bound of the proposed loss is tight. …”
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Numerical Simulation on Selection of Optimal Delay Time for Precise Delay Blasting by Jun Ma, Xianglong Li, Jianguo Wang, Qiang Li, Ting Zuo, Xiao Wu, Meng Hou

“…In the traditional presplitting blasting, the presplit holes are generally uniformly initiated, which causes local damage to the retained rock mass while forming the damping ditch. …”
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Optimizing SVM Performance through Combinatorial Hyperparameter Tuning and Model Selection by Hassan Tariq, Mehwish Majeed, Mueed Ahmad

“…The most suitable model, hyperparameters, and validation size or number of folds, are selected to achieve maximum accuracy of SVM across all datasets. Results demonstrate that the train-test-split model generally improves SVM performance, except for the heart disease dataset, on which the CV model performs well. …”
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Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends by Juliana Castaneda, Elnaz Ghorbani, Majsa Ammouriova, Javier Panadero, Angel A. Juan

“…The paper also discusses open research lines in this knowledge area. <i>Results:</i> The simheuristics approaches to solving NP-hard and large-scale combinatorial optimization problems under uncertainty scenarios are discussed, as they frequently appear in real-life applications in logistics and transportation activities. …”
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Optimal Initialization and Starting Approach of Synchronous Condenser Integrated Power Grid by Puyu Wang, Xing Liu, Qingwen Mou, Tao Yuan, Tianming Gu, Hemin Yang, Xiao-Ping Zhang, Zhengrong Xiang, Chunyi Guo

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Optimization of soil hydraulic parameters within a constrained sampling space by Meijun Li, Wei Shao, Wenjun Yu, Ye Su, Qinghai Song, Yiping Zhang, Hongkai Gao, Yonggen Zhang, Jianzhi Dong

“…The results demonstrated that indirect optimization of SHP significantly enhances the accuracy in recovering predefined true parameters and states, and reduces the uncertainty of ecohydrological modeling compared to direct optimization of SHP. …”
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Prediction and Optimization of Rheological Parameters of Potato Starch Modified by Cold Plasma by Ali Taghavi, Azadeh Ranjbar Nedamani, Ali motevali, Hashemi Seyyed Jafar

“…The flow behavior of 2% starch dispersion was then fitted with rheological models including the power law, Herschel-Bulkley, and Casson models using the regression toolbox of SPSS 20 software. The results showed that the choice of the appropriate rheological model depends on the type of treatment. …”
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Neural-Driven heuristic for strip packing trained with Black-Box optimization by Mariusz Kaleta, Tomasz Śliwiński

“…Traditional heuristics and metaheuristics struggle with generalization, efficiency, and adaptability, as they rely on predefined rules or require extensive computational effort for each new problem instance. …”
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Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…Results show that the ICON model is already generally well-tuned for the WAM system. …”
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Optimal Vibration Fields in Problems of Modeling Dynamic States of Technical Objects by A. V. Eliseev, N. K. Kuznetsov

“…Lagrange formalism, elements of operational calculus based on Laplace integral transformations, sections of vibration theories, algebraic methods, and the theory of spline functions were used for structural mathematical modeling.Results. An approach to the selection of criteria for the optimality of vibration fields based on minimizing the residual of vibration fields for various required conditions was proposed. …”
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Progress of performance optimization for Mn-based SCR catalysts at low temperature by Yun XU, Boyu WU, Ke ZHUANG, Qian ZHANG, Jingxin XU, Shengen ZHANG, Fahua ZHU, Bolin ZHANG

“…Commercial V2O5/TiO2 catalysts have satisfactory tolerance to poisoning factors such as SO2 and H2O, and the operating temperature is generally in the high-temperature range of 300–420 ℃. …”
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First Results of a Study on the Vibrations Transmitted to the Driver by an Electric Vehicle for Disabled People During Transfer to a Farm by Laura Fornaciari, Roberto Tomasone, Daniele Puri, Carla Cedrola, Renato Grilli, Roberto Fanigliulo, Daniele Pochi, Mauro Pagano

“…Overcoming these limitations is achievable through the optimization of the suspensions and tyres and will be the subject of the next step of this study. …”
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Optimal Design of Interior Permanent Magnet Synchronous Motor Considering Various Sources of Uncertainty by Giacomo Guidotti, Dario Barri, Federico Soresini, Massimiliano Gobbi

“…Finally, the results of the robust optimization are compared with those of the deterministic optimization. …”
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Exploring Monte Carlo Negotiation Search with Nontrivial Agreements by Elijah Alden Malaby, John Licato

“…We present two contributions: extensions to the MCNS algorithm to support more complex agreements and an agreement language for GDL games suitable for use with our algorithm. We also present the results of a preliminary experiment in which we use our algorithm to search for an optimal agreement for the iterated prisoners dilemma. …”
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Ginger as a non-pharmacological prevention of postoperative nausea and vomiting (PONV): a review by Weronika Gniado, Dawid Szymon Mądry, Gabriela Krych, Aleksandra Rusak, Joanna Oklińska, Michał Skóra, Klaudia Jadczak, Bartłomiej Kazimierski

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Investigating the Effects of Practice Time on Student Achievement Considering Variations in Demographics across Various Chemistry Topics by Sloka Suresh, Stephanie Toy, Neha Gondra, Auddy Guerrero Anilao, Brandon Vernoy, Ingo Eilks, Ozcan Gulacar

“…The researchers divided 91 general chemistry students into three groups based on the time allotted for solving intervention questions: Minimum, Average, and Maximum. …”
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