Bernard Riemann was the first to define curvature tensor. Most of the curvature tensors are defined with the help of Riemann curvaturetensor, Ricci tensor and metric tensor.It has been observed that different combinations of Ricci tensor and metric tensor in the defined tensors lead to some of the different geometrical and physical properties.M.S.C. 2010:53C25, 53C43.
{"title":"Geometric and Physical Properties of Curvature Tensors -A Review","authors":"Ganesh Prasad Pokhariyal","doi":"10.61294/jiaps2023.2731","DOIUrl":"https://doi.org/10.61294/jiaps2023.2731","url":null,"abstract":"Bernard Riemann was the first to define curvature tensor. Most of the curvature tensors are defined with the help of Riemann curvaturetensor, Ricci tensor and metric tensor.It has been observed that different combinations of Ricci tensor and metric tensor in the defined tensors lead to some of the different geometrical and physical properties.M.S.C. 2010:53C25, 53C43.","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240880","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}
In the present paper, some new contractions are introduced and fixed point theorems for such contractions are proved in bipolar metric spaces. Some examples are also presented to illustrate the main results.
{"title":"Some Fixed Point Theorems for ????-Admissible Mappings in BipolarMetric Spaces","authors":"Manoj Kumar, Vinit Mor, Pankaj .","doi":"10.61294/jiaps2023.2735","DOIUrl":"https://doi.org/10.61294/jiaps2023.2735","url":null,"abstract":"In the present paper, some new contractions are introduced and fixed point theorems for such contractions are proved in bipolar metric spaces. Some examples are also presented to illustrate the main results.","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240868","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}
Machine learning (ML) is a logical investigation of various algorithms and factual models that PCs utilize to carry out particular operations that are not clearly programmed. This paper aims to statistically analyze different machine learning algorithms, and compare and contrast their performance for credit card fraud detection. Algorithms used are Artificial Neural Networks(ANN), Sample Vector Machine (SVM), and Kth Nearest Neighbour (KNN), Decision Tree, Logistic Regression and Random Forest. All these above mentioned algorithms are compared on basis of performance measures. It is deduced that the random forest algorithm is the best algorithm.
{"title":"Performance Analysis of Different Machine Learning Algorithms on Credit Card Fraud Detection","authors":"Amanpreet Kaur, Vansh Sachdeva, Abhijot Singh, Ayush Jaiswal, Niyati Aggrawal, Archana Purwar","doi":"10.61294/jiaps2023.2739","DOIUrl":"https://doi.org/10.61294/jiaps2023.2739","url":null,"abstract":"Machine learning (ML) is a logical investigation of various algorithms and factual models that PCs utilize to carry out particular operations that are not clearly programmed. This paper aims to statistically analyze different machine learning algorithms, and compare and contrast their performance for credit card fraud detection. Algorithms used are Artificial Neural Networks(ANN), Sample Vector Machine (SVM), and Kth Nearest Neighbour (KNN), Decision Tree, Logistic Regression and Random Forest. All these above mentioned algorithms are compared on basis of performance measures. It is deduced that the random forest algorithm is the best algorithm.","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240871","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}
Agriculture is a significant contributor in the world economy. With the drastic change in the geographical conditions, the occurrence of extreme events like floods, droughts, heat waves, etc. are increasing, thereby harming crop yield. Additionally, crop yield is adversely impacted by crop diseases causing significant losses towards food production. Protecting against losses incurred by crop diseases can aid in improving food security as well as strengthening the economy. Traditional methods of crop disease detection are time and labor-intensive, whereas the use of machine learning (ML) based methods fastens up the process,thereby helping implement corrective actions at an early stage. Multiple ML algorithms find application in the field of crop disease detection. Nevertheless, there exists a need to investigate the accuracies of different ML algorithm with regardto disease detection for a specific crop and disease combination. The performance of three ML algorithms, namely Random Forest, Linear Discriminant Analysis, and k-Nearest Neighbors with respect to late blight disease in potatoeswas investigated in this work.
{"title":"Analysing Machine Learning based Approaches for Detecting Late Blight Disease in Potato Crop","authors":"Shikha Choudhary, Bhawna Saxena","doi":"10.61294/jiaps2023.2738","DOIUrl":"https://doi.org/10.61294/jiaps2023.2738","url":null,"abstract":"Agriculture is a significant contributor in the world economy. With the drastic change in the geographical conditions, the occurrence of extreme events like floods, droughts, heat waves, etc. are increasing, thereby harming crop yield. Additionally, crop yield is adversely impacted by crop diseases causing significant losses towards food production. Protecting against losses incurred by crop diseases can aid in improving food security as well as strengthening the economy. Traditional methods of crop disease detection are time and labor-intensive, whereas the use of machine learning (ML) based methods fastens up the process,thereby helping implement corrective actions at an early stage. Multiple ML algorithms find application in the field of crop disease detection. Nevertheless, there exists a need to investigate the accuracies of different ML algorithm with regardto disease detection for a specific crop and disease combination. The performance of three ML algorithms, namely Random Forest, Linear Discriminant Analysis, and k-Nearest Neighbors with respect to late blight disease in potatoeswas investigated in this work.","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240872","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}
The rough set idea was presented asan approach to deal with the ambiguity or uncertainty of the data in information systems. The neighborhood (nbd) system is an essential tool for reducing the boundary area and increasing the accuracy of the measurement. The main focus of the present paperis to introduce the new type of union nbds (briefly, ????ʝ-nbds) and to establish their properties. These ????ʝ-nbds are applied to obtain the concept of ????ʝ-lower approximation and ????ʝ-upper approximation, and ????ʝ-accuracy measure. Their properties are proposed. Finally, a medical application to demonstrate the significance of ????ʝ-nbds is presented
{"title":"Rough Set Model based on Union Neighborhood","authors":"Priti Madan, Alka Tripathi","doi":"10.61294/jiaps2023.2732","DOIUrl":"https://doi.org/10.61294/jiaps2023.2732","url":null,"abstract":"The rough set idea was presented asan approach to deal with the ambiguity or uncertainty of the data in information systems. The neighborhood (nbd) system is an essential tool for reducing the boundary area and increasing the accuracy of the measurement. The main focus of the present paperis to introduce the new type of union nbds (briefly, ????ʝ-nbds) and to establish their properties. These ????ʝ-nbds are applied to obtain the concept of ????ʝ-lower approximation and ????ʝ-upper approximation, and ????ʝ-accuracy measure. Their properties are proposed. Finally, a medical application to demonstrate the significance of ????ʝ-nbds is presented","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240878","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}
The natural convection nanofluidflow over a non-isothermal vertical plate is studied numerically. The effects of Brownian motion and thermophoresis parameters are incorporated into models used for nanofluids. The non-linear partial differential equations and boundary conditions are transformed into a set of nonlinear ordinally differential equations using the similarity transformations. The resulting system of equations are solved numerically by using shooting techniques. This solution depends on the Prandtl number (Pr), Buoyancy ratio (Nr), Brownian-motion (Nb), thermophoresis parameter (Nt), Lewis number (Le), and power-law exponent (λ). For different values of λ, Le and Pr, the influence of reduced Nusselt number with Nr, Nb and Nt is represented by correlation formulas and compared with previously published results and found to be in better agreement.
{"title":"Numerical Solution of Natural Convection Nanofluid Flow over aNon-Isothermal Vertical Plate","authors":"Mahendra Pratap Pal, Lokendra Kumar","doi":"10.61294/jiaps2023.2734","DOIUrl":"https://doi.org/10.61294/jiaps2023.2734","url":null,"abstract":"The natural convection nanofluidflow over a non-isothermal vertical plate is studied numerically. The effects of Brownian motion and thermophoresis parameters are incorporated into models used for nanofluids. The non-linear partial differential equations and boundary conditions are transformed into a set of nonlinear ordinally differential equations using the similarity transformations. The resulting system of equations are solved numerically by using shooting techniques. This solution depends on the Prandtl number (Pr), Buoyancy ratio (Nr), Brownian-motion (Nb), thermophoresis parameter (Nt), Lewis number (Le), and power-law exponent (λ). For different values of λ, Le and Pr, the influence of reduced Nusselt number with Nr, Nb and Nt is represented by correlation formulas and compared with previously published results and found to be in better agreement.","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240874","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}
Jagadish V Tawade, Mahadev M Biradar, Dakshayini N, Manjunatha B
We provide numerary analysis of Casson nanofluids flowing through porous materials on stretched magnetic surfaces. The behavior of non-Newtonian liquids is described by the Casson liquid model. Similarity transformations are used to create nonlinear partial differential equations and are solved using numerical methods. Nusselt Number,Skin Friction Coefficient, Temperature, Velocity results are collected. Graphs are used to show the effects of physical factors on the flow and heat transfer properties of nanofluids. These include the Kasson parameter, the porosity parameter, the magnetic parameter, the radiation parameter, and the Prandtl number. Results show that the temperature profile increases while the velocity field decreases with increasing Casson nanofluidic parameters. A decrease in the thickness of the pulse boundary layer and an increase in the thickness of the thermal boundary layer can be seen with increasing magnetic parameters alone.
{"title":"Analysis of volume fraction of Casson Nanofluid flow over a flat moving plate with thermal radiation and nonuniform heat source/sink","authors":"Jagadish V Tawade, Mahadev M Biradar, Dakshayini N, Manjunatha B","doi":"10.61294/jiaps2023.2736","DOIUrl":"https://doi.org/10.61294/jiaps2023.2736","url":null,"abstract":"We provide numerary analysis of Casson nanofluids flowing through porous materials on stretched magnetic surfaces. The behavior of non-Newtonian liquids is described by the Casson liquid model. Similarity transformations are used to create nonlinear partial differential equations and are solved using numerical methods. Nusselt Number,Skin Friction Coefficient, Temperature, Velocity results are collected. Graphs are used to show the effects of physical factors on the flow and heat transfer properties of nanofluids. These include the Kasson parameter, the porosity parameter, the magnetic parameter, the radiation parameter, and the Prandtl number. Results show that the temperature profile increases while the velocity field decreases with increasing Casson nanofluidic parameters. A decrease in the thickness of the pulse boundary layer and an increase in the thickness of the thermal boundary layer can be seen with increasing magnetic parameters alone.","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240763","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}
The Elzaki transform with RPS method is an efficient and reliable approach for solution of non-integer order linear as well as non-linear differential equations. The major endeavourof current work is to find the solution of two dimensional non-integer order diffusion equation by Elzaki transform with RPS method. Firstly, Elzaki is applied on this equation. Secondly, inverse Elzaki is taken on this equation for finding the expressionof solution. Thirdly, assumed approximate solution is substituted on this equation. Then unidentified coefficient functions are obtained by using residual function is equal to zero as well as combining its initial circumstances. At last, coefficient functions are substituted in power series form for finding finite approximate logical solutions. The judgment between exact solution and approximate analytic solutions with different number of terms of this equation are determined and compared for reliability. This method reduces the size of computational works of solution of non-integer order non-linear diffusion equation
{"title":"Numerical Solution of Two-Dimensional Fractional Order Diffusion Equation by using Elzaki Transform with Residual Power Series Method","authors":"Geeta Arora, Rajendra Pant","doi":"10.61294/jiaps2023.2733","DOIUrl":"https://doi.org/10.61294/jiaps2023.2733","url":null,"abstract":"The Elzaki transform with RPS method is an efficient and reliable approach for solution of non-integer order linear as well as non-linear differential equations. The major endeavourof current work is to find the solution of two dimensional non-integer order diffusion equation by Elzaki transform with RPS method. Firstly, Elzaki is applied on this equation. Secondly, inverse Elzaki is taken on this equation for finding the expressionof solution. Thirdly, assumed approximate solution is substituted on this equation. Then unidentified coefficient functions are obtained by using residual function is equal to zero as well as combining its initial circumstances. At last, coefficient functions are substituted in power series form for finding finite approximate logical solutions. The judgment between exact solution and approximate analytic solutions with different number of terms of this equation are determined and compared for reliability. This method reduces the size of computational works of solution of non-integer order non-linear diffusion equation","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240764","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}
The present paper aims to solve the linear and nonlinear time-fractional Newell-Whitehead-Segel equations using the Sumudu transformiterative method. The time-fractional derivatives areconsidered in the Caputo sense.In addition, the approximate analytical solutions derived in series form are graphically represented in this investigation, and the solution graphs show that the approximate solution is closely related to the exact solution
{"title":"Analytical Approach to Fractional Order Newell-Whitehead-Segel Equations by Sumudu transform Iterative Method","authors":"R.K. Bairwa, Priyanka ., Sanjeev Tyagi","doi":"10.61294/jiaps2023.2737","DOIUrl":"https://doi.org/10.61294/jiaps2023.2737","url":null,"abstract":"The present paper aims to solve the linear and nonlinear time-fractional Newell-Whitehead-Segel equations using the Sumudu transformiterative method. The time-fractional derivatives areconsidered in the Caputo sense.In addition, the approximate analytical solutions derived in series form are graphically represented in this investigation, and the solution graphs show that the approximate solution is closely related to the exact solution","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240881","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}
In chapter 7 the author studies with the important concept gsΛhomeomorphisms by using gsΛ-open sets. It is weaker than homeomorphisms.The notion of homeomorphisms plays a dominant role in topology and so many authors introduced varies types of homeomorphisms in topological spaces. In 1995, Maki, Devi and Balachandran introduced the concepts of semigeneralized homeomorphisms and generalized semi-homeomorphisms and studied some semi topological properties. Devi and Balachandran introduced a generalization of α-homeomorphism in 2001. gsΛ*-homeomorphism in topological spaces is also introduced and the group structure of the set of all gsΛ*-homeomorphisms are also investigated the group structure of the set of all gsΛ*-homeomorphisms.
{"title":"On *gs- Homeomorphism in Topological Spaces","authors":"S. Agarwal, C. K. Goel, Manoj K. Garg","doi":"10.22147/JUSPS-A/290705","DOIUrl":"https://doi.org/10.22147/JUSPS-A/290705","url":null,"abstract":"In chapter 7 the author studies with the important concept gsΛhomeomorphisms by using gsΛ-open sets. It is weaker than homeomorphisms.The notion of homeomorphisms plays a dominant role in topology and so many authors introduced varies types of homeomorphisms in topological spaces. In 1995, Maki, Devi and Balachandran introduced the concepts of semigeneralized homeomorphisms and generalized semi-homeomorphisms and studied some semi topological properties. Devi and Balachandran introduced a generalization of α-homeomorphism in 2001. gsΛ*-homeomorphism in topological spaces is also introduced and the group structure of the set of all gsΛ*-homeomorphisms are also investigated the group structure of the set of all gsΛ*-homeomorphisms.","PeriodicalId":16271,"journal":{"name":"Journal of International Academy Of Physical Sciences","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74072428","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}
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