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Materials Sciences and Applications 2012年第5期3卷 326-331页

作者： Robiul Islam Md Obaidur Rahman M. Abdul Hakim Dilip Kumar Saha saiduzzaman saiduzzaman Saroaut Noor Md Al-Mamun Department of Physics Khulna University of Engineering & Technology Khulna Bangladesh Materials Science Division Atomic Energy Centre Dhaka Bangladesh The Department of Physics Jahangirnagar University Dhaka Bangladesh

The effect of frequency and sintering temperature on initial permeability of Ni0.55Zn0.45Fe2O4 ferrites have been studied by using an impedance analyzer. The samples were prepared by conventional double sintering ceramic technique using oxide nanoparticles of grain size 30 - 50 nm. Single phase spinal structure has been confirmed for the prepared samples by X-ray diffraction. As the sintering temperatures increase from 1160℃ to 1300℃, the permeability gradually increases. The increase of permeability is ascribed to the increase of density and grain size. Grain size is expected to grow with the increase of sintering temperature. Ferrites with large average grain size posses higher initial permeability. The Curie temperatures determined from temperature dependence of permeability of the samples sintered at different temperatures are found to be Tc = (321 ± 1)℃ and independent of sintering temperature. At Ts = 1300℃, Tc is found to increase substantially which can be explained by the fact that Zn has evaporated from the surface layer.

关键词： Nanoparticle Sintering Temperature Curie Temperature Microstructure Grain Size

Comparison of Classical Method, Extension Principle and α-Cuts and Interval Arithmetic Method in Solving System of Fuzzy Linear Equations

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American Journal of Computational Mathematics 2019年第1期9卷 1-24页

作者： Sahidul Islam Md. saiduzzaman Md. Shafiqul Islam Abeda Sultana Department of Mathematics IUBAT (International University of Business Agriculture and Technology) Dhaka Bangladesh Department of Mathematics Jahangirnagar University Dhaka Bangladesh

The system of linear equations plays a vital role in real life problems such as optimization, economics, and engineering. The parameters of the system of linear equations are modeled by taking the experimental or observation data. So the parameters of the system actually contain uncertainty rather than the crisp one. The uncertainties may be considered in term of interval or fuzzy numbers. In this paper, a detailed study of three solution techniques namely Classical Method, Extension Principle method and α-cuts and interval Arithmetic Method to solve the system of fuzzy linear equations has been done. Appropriate applications are given to illustrate each technique. Then we discuss the comparison of the different methods numerically and graphically.

关键词： Fuzzy Set Classical Solution Extension Principle α-Cut and Interval Arithmetic Method

Performance Evaluation of Multiple Classifiers for Predicting Fake News

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Journal of Computer and Communications 2022年第9期10卷 1-21页

作者： Arzina Tasnim Md. saiduzzaman Mohammad Arafat Rahman Jesmin Akhter Abu Sayed Md. Mostafizur Rahaman Department of Information Systems Security Bangladesh University of Professionals Dhaka Bangladesh Institute of Information Technology Jahangirnagar University Dhaka Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

The rise of fake news on social media has had a detrimental effect on society. Numerous performance evaluations on classifiers that can detect fake news have previously been undertaken by researchers in this area. To assess their performance, we used 14 different classifiers in this study. Secondly, we looked at how soft voting and hard voting classifiers performed in a mixture of distinct individual classifiers. Finally, heuristics are used to create 9 models of stacking classifiers. The F1 score, prediction, recall, and accuracy have all been used to assess performance. Models 6 and 7 achieved the best accuracy of 96.13 while having a larger computational complexity. For benchmarking purposes, other individual classifiers are also tested.

关键词： Fake News Machine Learning TF-IDF Classifier Estimator F1 Score Recall Precision Voting Classifiers Stacking Classifier Soft Voting Hard Voting

The Effect of La on the Physical and Magnetic Properties of NiCuZn Ferrites

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材料科学与工程（中英文B版） 2011年第7期1卷 891-894页

作者： saiduzzaman Md. Abul Hossain A.K.M. Hakim Saroaut Noor Robiul Islam Md. Al-Mamun Department of Physics Jahangirnagar University Dhaka Bangladesh Materials Science Division Atomic Energy Centre Dhaka Bangladesh Department of Physics KUET Khulna Bangladesh