Volume 12 | Issue 4 |

 Abstract

With the rapid increase in digital transactions, credit card fraud has become a significant concern for financial institutions and consumers alike. Traditional rule-based fraud detection systems often struggle to keep pace with the evolving tactics of fraudsters. Machine learning (ML) techniques offer promising solutions for detecting fraudulent transactions due to their ability to adapt and learn from data patterns. In this paper, we present a comprehensive analysis of various ML algorithms for credit card fraud detection. Firstly, we review the existing literature on credit card fraud detection methodologies, highlighting the limitations of traditional approaches and the advantages of ML-based techniques. We then discuss the key challenges in building effective fraud detection models, including imbalanced datasets, feature selection, model interpretability, and scalability. Next, we provide an overview of different ML algorithms commonly used in credit card fraud detection, including supervised learning algorithms such as logistic regression, decision trees, random forests, support vector machines, and ensemble methods like gradient boosting and AdaBoost. We also explore the potential of unsupervised learning techniques, particularly clustering algorithms such as k-means and DBSCAN, and anomaly detection methods like isolation forest and autoencoders. Furthermore, we present a detailed analysis of feature engineering strategies essential for improving the performance of fraud detection models. Feature engineering techniques such as PCA (Principal Component Analysis), feature scaling, and synthetic minority oversampling technique (SMOTE) are discussed in detail. To evaluate the effectiveness of different ML algorithms, we conduct experiments on publicly available credit card transaction datasets, including the Kaggle Credit Card Fraud Detection dataset. We compare the performance of various algorithms in terms of metrics such as accuracy, precision, recall, F1-score, and area under the ROC curve (AUC). Additionally, we investigate the interpretability of the models to understand the factors contributing to their decisions.

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Creative Commons Attribution 4.0 and The Open Definition

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The advancement of cloud computing technology has revolutionized various industries, including the transportation sector. Online bus ticket booking systems have become increasingly popular due to their convenience and accessibility. This research paper presents the design, implementation, and performance evaluation of a cloud-based online bus ticket booking system. Leveraging cloud computing infrastructure, the system offers scalability, reliability, and cost-effectiveness, catering to the dynamic demands of users and bus operators. The paper discusses the architectural components of the system, including frontend application, backend services, cloud infrastructure, database management, authentication, payment processing, bus schedule management, ticket booking, reservation, notifications, analytics, and monitoring. Furthermore, the paper evaluates the performance of the system in terms of scalability, availability, response time, and cost efficiency. Through extensive experimentation and analysis, the results demonstrate the effectiveness of cloud-based solutions in enhancing the scalability, reliability, and performance of online bus ticket booking systems. The findings of this research provide valuable insights for the design, development, and deployment of cloud-based applications in the transportation domain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud computing, Online bus ticket booking, Scalability, Reliability, Performance evaluation.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Breast cancer detection and classification represent critical challenges in medical imaging, where accurate diagnosis is paramount for effective treatment planning and patient care. In this study, we leverage artificial intelligence (AI) techniques to address these challenges specifically in the context of elastography images. Elastography, coupled with B-mode ultrasound, offers valuable insights into the stiffness and geometric properties of breast lesions, aiding in the differentiation between benign and malignant tumors. Through the integration of AI algorithms, such as supervised learning with support vector machines (SVM), we develop a robust framework for the automated detection and classification of breast lesions. Our approach involves extensive preprocessing, feature extraction, and dimensionality reduction using techniques like principal component analysis (PCA). The proposed system undergoes rigorous validation using cross-validation methods to ensure its generalization and effectiveness. Our results demonstrate promising accuracy rates, highlighting the potential of AI-driven solutions in enhancing breast cancer diagnosis and patient outcomes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Breast cancer, Elastography, Artificial Intelligence, Supervised Learning, Support Vector Machines, Principal Component Analysis, Medical Imaging

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The "CREATING APP FOR BKS GARMENTS (CLASSY STORE)" project is in charge of handling garments product sale though online for the lending business BKS garments. This online helps the customers of particular Garments products purchase as well as to search for products through online. There will be Garments products catalo in this site which will give all the information about Garments products. In this economic world the trade in the business considers as in costly one, to reduce the economic cost and as well as the user work burden this project has been design. The main objective of the project is establishing the concept of the e business. This project give the advertisement in the website and its designing part. This project explains about its product details and its price details and this project helps to Garments products the orders in the online by referring the customer's credit card number. The customers who are placing the order are placed in the database for reference. And the details of the customer who are visiting the website is also maintained in the database. All the database details are maintained by the company administrator. Other users can only view the website and register their details and they cannot alter and details of the other viewers. It is the right of the administrator whether to save the particulars of the viewer's details or not. The Administrator will have additional functionalities when compared to the common user. He can add the old Garments products shop keepers into this system and create account for shop keepers to sale their old Garments products using this application. Once the shop keeper The "CREATING APP FOR BKS GARMENTS (CLASSY STORE)" project is in charge of handling garments product sale though online for the lending business BKS garments. This online helps the customers of particular Garments products purchase as well as to search for products through online. There will be Garments products catalo in this site which will give all the information about Garments products. In this economic world the trade in the business considers as in costly one, to reduce the economic cost and as well as the user work burden this project has been design. The main objective of the project is establishing the concept of the e business. This project give the advertisement in the website and its designing part. This project explains about its product details and its price details and this project helps to Garments products the orders in the online by referring the customer's credit card number. The customers who are placing the order are placed in the database for reference. And the details of the customer who are visiting the website is also maintained in the database. All the database details are maintained by the company administrator. Other users can only view the website and register their details and they cannot alter and details of the other viewers. It is the right of the administrator whether to save the particulars of the viewer's details or not. The Administrator will have additional functionalities when compared to the common user. He can add the old Garments products shop keepers into this system and create account for shop keepers to sale their old Garments products using this application. Once the shop keeper post their stock old Garments products into the system, the admin will get the notification and admin will fix the price for the old Garments products and finally publish the Garments products into the application.post their stock old Garments products into the system, the admin will get the notification and admin will fix the price for the old Garments products and finally publish the Garments products into the application.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Garments, products, data, system.

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates the challenges encountered by women entrepreneurs operating small-scale businesses in Coimbatore City, Tamil Nadu, India. Despite the growing recognition of women's contribution to the entrepreneurial landscape, they continue to face unique obstacles that hinder their business growth and sustainability. Through qualitative research methods including interviews, surveys, and observations, this study aims to identify and analyze the multifaceted challenges experienced by women entrepreneurs in Coimbatore City.

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Creative Commons Attribution 4.0 and The Open Definition

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Women entrepreneurs, barriers, challenges.

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates the awareness and impact of government schemes among farmers in Coimbatore District, specifically focusing on Sulur Taluk. With agriculture being a vital sector in India, government schemes play a crucial role in supporting farmers and enhancing agricultural productivity. However, the effectiveness of these schemes relies heavily on farmers' awareness and their ability to access them.The research employs a mixed-methods approach, combining both qualitative and quantitative techniques. Surveys, interviews, and focus group discussions are conducted to gather data from a representative sample of farmers in Sulur Taluk. The study assesses farmers' awareness levels regarding various government schemes, their access to information channels, and the perceived impact of these schemes on their agricultural practices and livelihoods.Preliminary findings suggest that while there is a moderate level of awareness about government schemes among farmers in Sulur Taluk

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Government schemes, FarmersAwarenessImpactCoimbatore DistrictSulur TalukAgricultural developmentRural livelihoodsPolicy evaluationSustainable agriculture

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Creative Commons Attribution 4.0 and The Open Definition

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The proliferation for internet banking has transformed how customers interact with financial institutions. While convenience and cost-effectiveness are clear advantages, long-term adoption hinges on customer satisfaction with these services. This research examines the relationship between IB service quality and customer satisfaction.

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Creative Commons Attribution 4.0 and The Open Definition

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E-Banking, service quality, customer satisfaction, reliability, Factor analysis, Artificial neural network

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Creative Commons Attribution 4.0 and The Open Definition

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John Keats one of the eminent poet of all time belongs to the second generation of Romantic Poets. He was the youngest of the major romantic poets whose lifespan was very short. But within the short period of four productive years he reached the height of Shakespeare as a poet. His love for beauty made him a great poet. And he finds this beauty in the form of nature, women, art and literature. As a poet his works are relevant through ages and for all generations. His fame as a poet lies in his love her beauty, his sensuousness, negative capability, Hellenism and the blending of classicism with romanticism

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Creative Commons Attribution 4.0 and The Open Definition

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relevance, classicism, romanticism, nature, sensuousness, negative capability, Hellenism.

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Creative Commons Attribution 4.0 and The Open Definition

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The colonial era, spanning roughly from the 15th to the 20th centuries, fundamentally reshaped international relations. European powers embarked on a global quest for conquest and resource extraction, establishing vast empires that reshaped political, economic, and social structures across the globe. This paper explores the defining characteristics of international relations in colonial times, focusing on the motivations for European expansion, the systems of domination employed, and the impact on colonized societies. It also examines the seeds of resistance and the eventual dismantling of colonial empires

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Creative Commons Attribution 4.0 and The Open Definition

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1. European Expansion 2. Colonialism 3. Imperialism 4. Resource Extraction 5. Domination 6. Colonized Societies 7. Resistance Movements 8. Decolonization 9. Power Dynamics 10. Economic Exploitation 11. Social Structures 12. Cultural Assimilation 13. Global Conquest 14. International Power Shifts 15. Legacy of Colonialism

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Creative Commons Attribution 4.0 and The Open Definition

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The auto industry has made efforts to create safer vehicles, but traffic accidents are inevitable, as this review paper explains. If we develop accurate prediction models that are able to automatically classify the type of injury and severity of various traffic accidents, we might be able to identify patterns in dangerous crashes. These social and street mishap examples can be valuable to foster traffic security control approaches. We believe that measures should be based on scientific and objective surveys of the causes of accidents and the severity of injuries in order to achieve the greatest possible accident reduction effects with limited budgetary resources. The results of four machine learning paradigms used to model the severity of injuries sustained in traffic accidents are summarized in this paper. We considered brain networks prepared utilizing cross breed learning draws near, support vector machines, choice trees and a simultaneous half and half model including choice trees and brain organizations. The results of the experiment show that the hybrid decision tree-neural network approach performed better than the other individual machine learning paradigms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

safer vehicles, traffic accidents, accurate prediction, identify patterns, machine learning.

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Creative Commons Attribution 4.0 and The Open Definition