Journal of the Nigerian Society of Physical Sciences最新文献_第4页

Regularization Effects in Deep Learning Architecture 深度学习架构中的正则化效应

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-03-11 DOI: 10.46481/jnsps.2024.1911

Muhammad Dahiru Liman, S. Osanga, Esther Samuel Alu, Sa'adu Zakariya

{"title":"Regularization Effects in Deep Learning Architecture","authors":"Muhammad Dahiru Liman, S. Osanga, Esther Samuel Alu, Sa'adu Zakariya","doi":"10.46481/jnsps.2024.1911","DOIUrl":"https://doi.org/10.46481/jnsps.2024.1911","url":null,"abstract":"This research examines the impact of three widely utilized regularization approaches -- data augmentation, weight decay, and dropout --on mitigating overfitting, as well as various amalgamations of these methods. Employing a Convolutional Neural Network (CNN), the study assesses the performance of these strategies using two distinct datasets: a flower dataset and the CIFAR-10 dataset. The findings reveal that dropout outperforms weight decay and augmentation on both datasets. Additionally, a hybrid of dropout and augmentation surpasses other method combinations in effectiveness. Significantly, integrating weight decay with dropout and augmentation yields the best performance among all tested method blends. Analyses were conducted in relation to dataset size and convergence time (measured in epochs). Dropout consistently showed superior performance across all dataset sizes, while the combination of dropout and augmentation was the most effective across all sizes, and the triad of weight decay, dropout, and augmentation excelled over other combinations. The epoch-based analysis indicated that the effectiveness of certain techniques scaled with dataset size, with varying results.","PeriodicalId":342917,"journal":{"name":"Journal of the Nigerian Society of Physical Sciences","volume":"78 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140251679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advance effect of magnetic field on the rheological properties of manganese zinc ferrite ferrofluid 磁场对锰锌铁氧体铁流体流变特性的先期影响

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-03-06 DOI: 10.46481/jnsps.2024.1897

A. Ibiyemi, O. Akinrinola, G. T. Yusuf, S. Olaniyan, J. Lawal, M. Orojo, B. Osuporu

{"title":"Advance effect of magnetic field on the rheological properties of manganese zinc ferrite ferrofluid","authors":"A. Ibiyemi, O. Akinrinola, G. T. Yusuf, S. Olaniyan, J. Lawal, M. Orojo, B. Osuporu","doi":"10.46481/jnsps.2024.1897","DOIUrl":"https://doi.org/10.46481/jnsps.2024.1897","url":null,"abstract":"The rheological characteristics of manganese zinc (Mn-Zn) ferrite magnetic nanofluid synthesized using co-precipitation technique were examined in the absence and presence of magnetic fields. The research formulates required conditions needed for the formation of a gelly-like structure. The impact of magnetic field and temperature on the rheological properties of Mn-Zn ferrite ferrofluid is investigated. When a magnetic field was applied, higher magnetoviscoelasticity and magnetoviscosity were formed. Analysis was also done on other rheological parameters, such as the damping factor, which is crucial for regulating and restricting vibrations in a system. A stiff, gel-like structure is produced when a magnetic field is applied, and the gel-like quality grows as the magnetic field increases; when the magnetic field is removed, the gel-like and rigidity of the structure is lost. At low temperatures, the liquid phase is dominated by solid-like particles, whereas at high temperatures, the liquid-like structure is dominant. This study reveals the conditions required for the creation of high viscous effect and the viscoelastic behavior induced by the field offers important insights for optimizing the Mn-Zn ferrite ferrofluid for a range of applications. Other criterial for gel-like structure formation such as low torque and deflection angle of the ferrofluid were also established. ","PeriodicalId":342917,"journal":{"name":"Journal of the Nigerian Society of Physical Sciences","volume":"94 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140261223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sedimentological and geochemical evaluation of sandstones of the Ilaro formation, Dahomey Basin, Southwestern Nigeria : Insights into paleoenvironments, provenance, and tectonic settings 尼日利亚西南部达荷美盆地伊拉罗地层砂岩的沉积学和地球化学评价：洞察古环境、产状和构造环境

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-02-29 DOI: 10.46481/jnsps.2024.1726

A. Y. Jimoh, M. B. Saadu, A. A. Adetoro, J. Ajadi, T. Issa, U. Issa

{"title":"Sedimentological and geochemical evaluation of sandstones of the Ilaro formation, Dahomey Basin, Southwestern Nigeria : Insights into paleoenvironments, provenance, and tectonic settings","authors":"A. Y. Jimoh, M. B. Saadu, A. A. Adetoro, J. Ajadi, T. Issa, U. Issa","doi":"10.46481/jnsps.2024.1726","DOIUrl":"https://doi.org/10.46481/jnsps.2024.1726","url":null,"abstract":"Grain size analysis, geochemistry, and petrography of sandstones of the Ilaro Formation exposed at the Ajegunle area were investigated to infer provenance, transportation history, tectonic setting, paleoenvironment, and degree of palaeoweathering of the sediments. Selected sandstones were analyzed, and the major, trace, and rare earth elements were determined using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Results from the granulometric analysis showed that sandstones were deposited in fluvial conditions. The sandstones exhibit a coarse-grained texture, displaying poor sorting and being texturally immature. The petrographic analysis indicated that quartz was predominant, whereas opaque minerals, muscovite, and ferruginous ground mass were present in smaller quantities. The sandstones can be geochemically classified as arkose and subarenite. The sandstones have an average composition of SiO2 (82.87%) and Al2O3 (9.49%), while K2O, Na2O, MgO, CaO, and P2O5 have <1% each. The elevated Al2O3 content is associated with the lithic fragment composition, whereas the low concentrations of MgO (mean 0.03%), Na2O (mean 0.008%), and K2O (mean 0.04%) suggest chemical destruction in an oxidizing environment. The angularity of the grains indicated a short transportation history very close to the provenance. Bivariate and discriminant plots from major elements and trace elements suggest the sandstones were non-marine and sourced from intermediate rocks. The sandstones were deposited in an oxic-dyoxic condition under a humid climate and passive or active continental margins. The average values of the weathering indices indicate an intense degree of chemical weathering.","PeriodicalId":342917,"journal":{"name":"Journal of the Nigerian Society of Physical Sciences","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140415363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the multiplicity order of spinnable star-like transformation semigroup Tw*n 论可旋星状变换半群 Tw*n 的多重性阶数

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-02-19 DOI: 10.46481/jnsps.2024.1692

S. Akinwunmi, Garba Risqot Ibrahim, A. Adeniji, D. Oyewola

引用次数: 0

Investigating the magnetic domain structure and photonics characters of Singled Phased hard ferromagnetic Ferrite MFe3O4 (M= Co2+, Zn2+, Cd2+) Compounds 研究单相硬铁磁性铁氧体 MFe3O4（M= Co2+、Zn2+、Cd2+）化合物的磁畴结构和光子特性

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-02-18 DOI: 10.46481/jnsps.2024.1909

A. Ibiyemi, G. T. Yusuf, O. Akirinola, M. Orojo, B. Osuporu, J. Lawal

{"title":"Investigating the magnetic domain structure and photonics characters of Singled Phased hard ferromagnetic Ferrite MFe3O4 (M= Co2+, Zn2+, Cd2+) Compounds","authors":"A. Ibiyemi, G. T. Yusuf, O. Akirinola, M. Orojo, B. Osuporu, J. Lawal","doi":"10.46481/jnsps.2024.1909","DOIUrl":"https://doi.org/10.46481/jnsps.2024.1909","url":null,"abstract":"The impact of transition metals on ferrite (iron (III) oxide) compounds is investigated in this study. Ferrite samples were synthesized using the co-precipitation method. X-ray analysis unveiled the presence of the Fe-phase in the trivalent state, showcasing a single-phased cubic spinel framework with a preferred orientation along the (311) reflection plane. Crystallite sizes were determined for CdFe3O4, ZnFe3O4, and CoFe3O4 utilizing the Scherer equation, yielding values of 10.54 nm, 18.76 nm, and 32.63 nm, respectively. Zinc ferrite displayed an intermediate photonic nature compared to cobalt and cadmium ferrite, with cadmium ferrite showing high optical losses and cobalt ferrite exhibiting minimal optical losses. EDX analysis confirmed the presence of Zn2+, Co2+, Fe3+, Cd2+, and O2? ions in the correct ratios, supporting the intended stoichiometric composition. Optical assessment revealed that CoFe3O4 nanoparticles are well-suited for optoelectronic devices, ultraviolet detectors, and infrared (IR) detectors. VSM measurements of cobalt ferrite exhibited higher coercivity and magnetic saturation compared to other samples. Photoluminescence (PL) spectroscopy revealed multiple colors, including cyan, green, and yellow, at different wavelengths for the ferrite samples. These findings suggest that the synthesized samples are suitable materials for high-frequency devices owing to their robust magnetic properties. Cadmium ferrite displayed a multi-magnetic domain structure, contrasting with the single-magnetic domain structure observed in zinc and cobalt ferrite.","PeriodicalId":342917,"journal":{"name":"Journal of the Nigerian Society of Physical Sciences","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139959679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On logistic regression versus support vectors machine using vaccination dataset 利用疫苗接种数据集研究逻辑回归与支持向量机的关系

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-02-18 DOI: 10.46481/jnsps.2024.1092

O. Adesina, A. F. Adedotuun, K. S. Adekeye, O. F. Imaga, Adeleke J. Adeyiga, T. J. Akingbade

引用次数: 0

Ensemble feature selection using weighted concatenated voting for text classification 利用加权串联投票进行文本分类的集合特征选择

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-02-18 DOI: 10.46481/jnsps.2024.1823

O. Ige, K. H. Gan

{"title":"Ensemble feature selection using weighted concatenated voting for text classification","authors":"O. Ige, K. H. Gan","doi":"10.46481/jnsps.2024.1823","DOIUrl":"https://doi.org/10.46481/jnsps.2024.1823","url":null,"abstract":"Following the increasing number of high dimensional data, selecting relevant features has always been better handled by filter feature selection techniques due to its improved generalization, faster training time, dimensionality reduction, less prone to overfitting, and improved model performance. However, the most used feature selection methods are unstable; a feature selection method chooses different subsets of characteristics that produce different classification accuracy. Selecting an appropriate hybrid harnesses the local feature relevant to the discriminative power of filter methods for improved text classification, which is lacking in past literature. In this paper, we proposed a novel multi-univariate hybrid feature selection method (MUNIFES) for enhanced discriminative power between the features and the target class. The proposed method utilizes multi-iterative processes to select the best feature sets from each univariate feature selection method. MUNIFES has employed the ensemble of multi-filter discriminative strength of Chi-Square (Chi2), Analysis of Variance (ANOVA), and Infogain methods to select optimal feature subsets. To evaluate the success of the proposed method, several experiments were performed on the 20newsgroup dataset and its variant (17newsgroup) with 10 classifiers (including ensemble, classification and optimization algorithms, and Artificial Neural Network (ANN)), compared with the state-of-the-art feature selection methods. The MUNIFES results indicated a better accuracy classification performance.","PeriodicalId":342917,"journal":{"name":"Journal of the Nigerian Society of Physical Sciences","volume":"5 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139959414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the fourth-order hybrid beta polynomial kernels in kernel density estimation 论核密度估计中的四阶混合贝塔多项式核

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-02-15 DOI: 10.46481/jnsps.2024.1631

Benson Ade Eniola Afere

{"title":"On the fourth-order hybrid beta polynomial kernels in kernel density estimation","authors":"Benson Ade Eniola Afere","doi":"10.46481/jnsps.2024.1631","DOIUrl":"https://doi.org/10.46481/jnsps.2024.1631","url":null,"abstract":"This paper introduces a novel family of fourth-order hybrid beta polynomial kernels tailored for statistical analysis. The efficacy of these kernels is evaluated using two principal performance metrics: asymptotic mean integrated squared error (AMISE) and kernel efficiency. Comprehensive assessments were conducted using both simulated and real-world datasets, enabling a thorough comparison with conventional fourth-order polynomial kernels. The evaluation process entailed computing AMISE and efficiency metrics for both the hybrid and classical kernels. Consistently, the results illustrated the superior performance of the hybrid kernels over their classical counterparts across diverse datasets, underscoring the robustness and effectiveness of the hybrid approach. By leveraging these performance metrics and conducting evaluations on simulated and real world data, this study furnishes compelling evidence supporting the superiority of the proposed hybrid beta polynomial kernels. The heightened performance, evidenced by lower AMISE values and elevated efficiency scores, strongly advocates for the adoption of the proposed kernels in statistical analysis tasks, presenting a marked improvement over traditional kernels.","PeriodicalId":342917,"journal":{"name":"Journal of the Nigerian Society of Physical Sciences","volume":"75 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139774922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the fourth-order hybrid beta polynomial kernels in kernel density estimation 论核密度估计中的四阶混合贝塔多项式核

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-02-15 DOI: 10.46481/jnsps.2024.1631

Benson Ade Eniola Afere

{"title":"On the fourth-order hybrid beta polynomial kernels in kernel density estimation","authors":"Benson Ade Eniola Afere","doi":"10.46481/jnsps.2024.1631","DOIUrl":"https://doi.org/10.46481/jnsps.2024.1631","url":null,"abstract":"This paper introduces a novel family of fourth-order hybrid beta polynomial kernels tailored for statistical analysis. The efficacy of these kernels is evaluated using two principal performance metrics: asymptotic mean integrated squared error (AMISE) and kernel efficiency. Comprehensive assessments were conducted using both simulated and real-world datasets, enabling a thorough comparison with conventional fourth-order polynomial kernels. The evaluation process entailed computing AMISE and efficiency metrics for both the hybrid and classical kernels. Consistently, the results illustrated the superior performance of the hybrid kernels over their classical counterparts across diverse datasets, underscoring the robustness and effectiveness of the hybrid approach. By leveraging these performance metrics and conducting evaluations on simulated and real world data, this study furnishes compelling evidence supporting the superiority of the proposed hybrid beta polynomial kernels. The heightened performance, evidenced by lower AMISE values and elevated efficiency scores, strongly advocates for the adoption of the proposed kernels in statistical analysis tasks, presenting a marked improvement over traditional kernels.","PeriodicalId":342917,"journal":{"name":"Journal of the Nigerian Society of Physical Sciences","volume":"413 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139834474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A tuberculosis model with three infected classes 有三个感染等级的结核病模型

Journal of the Nigerian Society of Physical Sciences Pub Date : 2024-02-13 DOI: 10.46481/jnsps.2024.1881

A. Sangotola, S. B. Adeyemo, O. A. Nuga, A. E. Adeniji, A. J. Adigun

引用次数: 0