Asian Journal of Mathematics and Computer Research最新文献

{"title":"SENTIMENT CLASSIFICATION OF E-COMMERCE REVIEWS BASED ON BERT-CNN","authors":"Chunhao Chai, LU Li, Teng Mao, Di Wu, Lidong Wang","doi":"10.56557/ajomcor/2022/v29i37961","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i37961","url":null,"abstract":"Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) were used to handle natural language tasks in early days, but the Transformer model changed that. The Bidirectional Encoder Representations from Transformers (BERT) model is another optimization based on the Transformer model, which directly makes the performance of the NLP model reach an unprecedented height. In order to distinguish the emotion classification model with the best processing effect in the field of e-commerce reviews, the BERT model is fine-tuned based on the mobile e-commerce review data, and then input to another deep learning models(such as CNN,RNN) as embedding. Finally, we compare the training effect of several current deep learning models, such as BERT, BERT-RNN and BERT-CNN. Experimental results show that the BERT-CNN model performs best in the binary classification of e-commerce review text sentiment.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132911934","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}

{"title":"APPROXIMATION RESULTS FOR SOLUTION OF STOCHASTIC HARD-SOFT CONSTRAINED CONVEX FEASIBILITY PROBLEM","authors":"A. Udom, C. Nweke, G. Mbaeyi, E. O. Ossai","doi":"10.56557/ajomcor/2022/v29i37957","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i37957","url":null,"abstract":"In this work, a random-type iterative scheme is proposed and used for random approximation of the solution of stochastic convex feasibility problem involving hard constraints (that must be satisfied) and soft constraints (whose proximity function is minimized) in Hilbert space. The iterative algorithm is based on an alternating projection with lipschitzian and firmly non-expansive mapping. Convergence results of the random-type iterative scheme to the solution of the stochastic convex feasibility problem is proved. These will serve as an extension, unification and generalization of different established classic results in the literature.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126290526","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}

{"title":"SIMULTANEOUS SPATIAL DURBIN FOR PANEL DATA WITH TWO WAY ERROR COMPONENT MODEL","authors":"A. Muslim, I. Sumertajaya, N. Achsani, I. Purnaba, U. Syafitri","doi":"10.56557/ajomcor/2022/v29i37954","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i37954","url":null,"abstract":"This study developed a Simultaneous Spatial model for panel data using Simultaneous Spatial Durbin Model for panel data with two way error component by using Generalized Spatial Two Stage Least Square (SSDPDTWEC GS2SLS). Based on the results of the simulation data, it can be concluded that the SSDPDTWEC GS2SLS model is better than Simultaneous Spatial Durbin for panel data with one way error component using Spatial Two Stage Least Square (SSDPDONWEC S2SLS), SSDPDONWEC GS2SLS, and SSDPDTWEC S2SLS, because it has a smaller mean of square error (MSE) and has a larger coefficient of determination (R Square) value. \u0000Based on the results of the SSDPDTWEC GS2SLS Model to endogenous economics growth data in Indonesia from 2015-2020, it can be concluded that Gross Regional Domestics Product (GRDP) is significantly affected by Human Development Index (HDI), Poverty (POOR), spatial dependencies of the HDI (WHDI), spatial dependencies of poverty (WPOOR) and spatial dependencies of GRDP (WGRDP), while Information and Communication Technology Development Index (ICTDI) and spatial dependencies of ICTDI (WICTDI) have no significant effect on GRDP. For ICTDI is significantly affected by HDI, WHDI and WICTDI, while GRDP, Direct Expenditure (DE), WGRDP and spatial dependencies of direct expenditure (WDE) have no significant effect on ICTDI. HDI variable is significantly affected by ICTDI, WICTDI, and WHDI while GRDP and WGRDP have no significant effect on HDI. There is no spatial simultaneity relationship between GRDP and HDI as well as GRDP and ICTDI, while between ICTDI and HDI there is a spatial simultaneous relationship.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134320609","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}

{"title":"SPLIT DUAL JACOBSTHAL AND JACOBSTHAL-LUCAS QUATERNIONS","authors":"Umit Tokeser, Zafer Unal","doi":"10.56557/ajomcor/2022/v29i37938","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i37938","url":null,"abstract":"Many researchs have been studied on quaternions since Hamilton introduced them to the literature in 1843. In our paper, we gave split dual Jacobsthal (SDJ) and split dual Jacobsthal-Lucas (SDJL) quaternions over the algebra H(μ,n) with the basis {1; e1; e2; e3}, where  μ,n ∈ Z. Binet like formulaes are obtained for these quaternions. Also, given Vajda identities for SDJ and SDJL quaternions.As a special case of Vajda identities, d'Ocagne's, Cassini's and Catalan's identities are represented.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115305552","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}

{"title":"STATISTICAL DOWNSCALING MODELING FOR MONTHLY RAINFALL ESTIMATION USING GEOGRAPHICAL AND TEMPORAL WEIGHTED GAMMA REGRESSION","authors":"Aan Kardiana, A. Wigena, A. Djuraidah, A. Soleh","doi":"10.56557/ajomcor/2022/v29i27923","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i27923","url":null,"abstract":"Statistical Downscaling modeling is a technique in climatology that uses statistical modeling to analyze the relationship between large-scale data (global) and small-scale data (local). General Circulation Model is a numerical model that produces many data from various climate parameters such as precipitation, temperature, and humidity for the need for climate forecasting. Statistical Downscaling modeling to estimate monthly rainfall in areas that have a monsoon rainfall pattern in Indonesia had been carried out using the L1/Lasso Regulation and Principal Component Analysis, Spatio Temporal Bayesian Regression, Spatio Temporal Generalized Linear Mixed Model, and Geographically and Temporally Weighted Regression. Monthly rainfall data are spatial and temporal heterogeneity and are not normally distributed because of non-negative values and skew to the right. One approach to analyze the data is using the Geographically and Temporally Weighted Gamma Regression  method that was developed from Geographically and Temporally Weighted Regression using Gamma distribution and parameter estimation using the Maximum Likelihood Estimation method. This study will conduct this modelling using response variables of monthly rainfall data from 35 stations in West Java Province from January 2010 to December 2012, and predictor variables are monthly rainfall of the previous period, monthly precipitation from the General Circulation Model from the National Centers for Environmental Prediction in the form of a Climate Forecast System Reanalysis model. The study results show that Geographically and Temporally Weighted Gamma Regression modelling using the Gaussian kernel function and fixed bandwidth on Statistical Downscaling can predict monthly rainfall in a location in West Java Province for a certain period. Based on this model generated at a location, changes in a predictor variable can be seen in the value of monthly rainfall in a period. The combination of this model with the Kriging Spherical interpolation can estimate the monthly rainfall value in locations that are not observed.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592561","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}

{"title":"UTILIZING ROOTS AND PATTERNS TO IDENTIFY ARABIC NAMED ENTITIES","authors":"Abdulmonem Ahmed, Aybaba Hançrli̇oğullari, Ali̇ Riza Tosun","doi":"10.56557/ajomcor/2022/v29i27922","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i27922","url":null,"abstract":"Named Entity Recognition NER is a subset of information extraction that seeks to recognize and categorize named things in text data into specified categories, such as people's names, organizations' names, geographic locations, and so on. This task has recently attracted a lot of attention due to the discovery it has the potential to boost the performance of a variety of NLP applications. In the domains of Question Answering and Summarization Systems, Information Retrieval and Extraction, Machine Translation, Video Annotation, Semantic Web Search, and Bioinformatics, the majority of difficulties require named entity recognition. Arabic is an inflectional language, which allows for non-concatenative morphological operations on the root. The purpose of this study is to extract and recognize entity names from Arabic articles. We proposed an algorithm for determining names from roots using patterns. We developed it in Python and leveraged the \"pyqt5\" visual package to see the results immediately, as well as modify and add patterns easily. To replicate the names, we used a random sample of 400 names and 45 different patterns. The algorithm correctly identified 370 names easily and quickly, yielding a success rate of 93%. All names with the same recognized names will be known in the same way by the method and do not need any manipulation in code or design. The names that are not recognized by our algorithm have no roots in the list of known Arabic roots. Our research shows that the approach can recognize names with roots with high speed and accuracy, but it is not possible to identify nouns that are not in the Arabic language using this method. As a result, we recommend using a hybrid method that incorporates multiple concepts.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129375774","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}

{"title":"RICCI-PSEUDOSYMMETRIC (LCS)n −MANIFOLDS ADMITTING ALMOST (eta)−RICCI SOLITONS","authors":"M. Atc̣eken, Tuğba Mert, Pakize Uygun","doi":"10.56557/ajomcor/2022/v29i27900","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i27900","url":null,"abstract":"The objective of this paper is to study Ricci-pseudosymmetric (LCS)n −manifolds admitting almost (eta)−Ricci solitons. We show that if a Ricci-pseudosymmetric (LCS)n −manifold admits (eta)−Ricci soliton, then it is an (eta)−Einstein and find the critical values. Then some characterizations are obtained and some classifications have made.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129475979","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}

{"title":"ON TECHNIQUES FOR IDENTIFICATION OF OUT-OF-CONTROL VARIABLE(S) IN MULTIVARIATE T2 CONTROL CHART ON CABLE PRODUCTION","authors":"A. Udom, O. M. Ezeani, Nnamdi Paschal Odoh","doi":"10.56557/ajomcor/2022/v29i27874","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i27874","url":null,"abstract":"Multivariate statistical process control charts are used for process monitoring and control of two or more variables simultaneously for quality and quality improvement. A popular multivariate control chart is used to monitor the mean vector of the process. A usual problem in the multivariate control chart is the identification and interpretation of variable(s) for an out-of-control signal that occurred in the chart. This has brought many developed techniques from many researchers to aid in finding the responsible variable(s) that caused the out-of-control signal in the chart. This work is aimed at a comparative study of some developed techniques for identifying and interpreting an out-of-control signal, in the multivariate control chart when applied on the cable production process. The techniques are Mason-Tracy-Young, Donganaksoy-Faltin-Tucker, Univariate -chart using Bonferroni control limits by Alt and Principal component analysis by Jackson. A performance criterion, the power of the test was used to ascertain the most satisfactory technique that explained the out-of-control signal that occurred in -chart. From the results and discussions, Mason Tracy-Young and Doganaksoy-Faltin-Tucker techniques are the most satisfactory for identifying and interpreting an out-of-control signal in the multivariate control chart.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122206249","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}

{"title":"UPPER ESTIMATES OF THE INITIAL COEFFICIENTS OF ANALYTIC FUNCTIONS BELONGING TO A CERTAIN CLASS OF BI-UNIVALENT FUNCTIONS","authors":"L. F. Modupe, O. O. Timothy","doi":"10.56557/ajomcor/2022/v29i27835","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i27835","url":null,"abstract":"In this paper, Opoola differential operator, which is a generalization of both Salagean differential operator and Al-Oboudi differential operator is used to define a new subclass of analytic and bi-univalent functions by using quasi-subordination principle. The upper estimates for the first two initial coefficients of functions in the new subclass defined are obtained by means of Ma-Minda functions.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127695881","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}

{"title":"FACILITATION AND ACCELERATION OF DIAGNOSIS AND TREATMENT OF COVID-19 USING AN EXPERT SYSTEM","authors":"A. Hasan-Zadeh, M. Faraji","doi":"10.56557/ajomcor/2022/v29i17767","DOIUrl":"https://doi.org/10.56557/ajomcor/2022/v29i17767","url":null,"abstract":"This study examines the forward method for establishing an expert system for the diagnosis of COVID-19 disease in the Python environment. To do this, first the tree related to this expert system is drawn. The laws of Knowledge Tree in expert system is designed to treat all known symptoms for the diagnosis of COVID-19, including severe fever and headache, dry cough, losing the sense of smell and taste, fatigue, sore throat and shortness of breath (asthma). Based on the drawn tree, the studied expert system is designed considering its general architecture consisting of inference engine, knowledge base, and result description, working memory, external programs, constructor interfaces and user interfaces. This in turn will be a good supportive aspect along with the methods of diagnosis by the physician, PCR, CT scan and serology to be effective in facilitating and accelerating the diagnosis and treatment.","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121654524","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}