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RESEARCH PAPER · Advanced Theory and Simulations · 2021

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

Tolou Pourashraf, Saeid Shokri, Mohammad Yousefi, Abbas Ahmadi, Parviz Aberoomand Azar

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9 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization AlgorithmsOriginalQuantum Analog Annealing of Gain‐Dissipative Ising Machine Driven by Colored Gaussian Noise13The magnetic properties prediction and composition design of La-Co substitution Sr-hexaferrite based on high-through experiments and machine learning9A non-linear time series based artificial intelligence model to predict outcome in cardiac surgery7Machine learning prediction and experimental validation of magnetic properties of M-type hexagonal ferrites18Magnetism and exchange coupling in BaFe12O19/ZnFe2O4 as a hard/soft nanocomposite12Green synthesis of N,N′-(1,2-phenylene)bis(phthalimide-5-carboxilic acid) and the prediction of its properties: Standard enthalpies of formation and sublimation3Advanced Reliability Prediction of FBGA Solder Joints Under Harmonic Vibration: Harnessing Supervised Machine Learning Models9Prediction of coercivity and saturation magnetization of strontium hexagonal ferrites using machine learning0Supervised machine learning models for accurate prediction of micro pump displacement0

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  1. Quantum Analog Annealing of Gain‐Dissipative Ising Machine Driven by Colored Gaussian Noise

    Advanced Theory and Simulations · 2022-01-11

    Zhiqiang Liao, Kaijie Ma, Md Shamim Sarker, Siyi Tang, Hiroyasu Yamahara, Munetoshi Seki, Hitoshi Tabata

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  2. The magnetic properties prediction and composition design of La-Co substitution Sr-hexaferrite based on high-through experiments and machine learning

    Materials Today Communications · 2022-07-14

    Ruoshui Liu, Lichen Wang, Zhiyi Xu, Ciyu Qin, Ziyu Li, Xiang Yu, Dan Liu, Huayang Gong, Tongyun Zhao, Jirong Sun, Fengxia Hu, Baogen Shen

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  3. A non-linear time series based artificial intelligence model to predict outcome in cardiac surgery

    Health and Technology · 2022-11-01

    Sushant Konar, Nitin Auluck, Rajarajan Ganesan, Atul Kumar Goyal, Tarunpreet Kaur, Mansi Sahi, Tanvir Samra, Shyam Kumar Singh Thingnam, Goverdhan Dutt Puri

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  4. Machine learning prediction and experimental validation of magnetic properties of M-type hexagonal ferrites

    Journal of the European Ceramic Society · 2024-03-06

    Shifan Lu, Yingli Liu, Qisheng Yin, Jianfeng Chen, Jian Peng Wu, Jie Li, Pengjie Zhang, Zhicong Chen

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  5. Magnetism and exchange coupling in BaFe12O19/ZnFe2O4 as a hard/soft nanocomposite

    Journal of Solid State Chemistry · 2024-11-17

    Azin Akbarsharifi, Fatemeh Ashouri, Tolou Pourashraf, Mohammad Yousefi

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  6. Green synthesis of N,N′-(1,2-phenylene)bis(phthalimide-5-carboxilic acid) and the prediction of its properties: Standard enthalpies of formation and sublimation

    Journal of Molecular Structure · 2025-05-18

    Fausto Díaz-Sánchez, Miguel Angel García-Castro, Maura Cárdenas-García, Jesús A. Arzola-Flores, Gabriel Alonso-Gallardo

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  7. Advanced Reliability Prediction of FBGA Solder Joints Under Harmonic Vibration: Harnessing Supervised Machine Learning Models

    Journal of Electronic Materials · 2025-09-02

    Jihen Rebai, Ahmed Ghorbel, Nabih Féki, Abdelkhalak El Hami, Mohamed Haddar

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  8. Prediction of coercivity and saturation magnetization of strontium hexagonal ferrites using machine learning

    Journal of Magnetism and Magnetic Materials · 2026-04-30

    Jun Li, Tao Hong, Wen Wan, Guixin Cao

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  9. Supervised machine learning models for accurate prediction of micro pump displacement

    Microsystem Technologies · 2026-07-02

    Fatma Abid, Maroua Haddar, Abdelkhalak Elhami, Mohamed Haddar

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