Volume 13 | Issue 4 |

 Abstract

Consumer behavior may be impacted by the growth of online advertising in several ways. First off, since online advertising is targeted, consumers may feel more individualized and likely to make a purchase. This could boost brand loyalty. Compared to generic marketing initiatives, consumers might be more responsive to advertising messages that are pertinent to their needs and interests. Second, because online advertising is so common, it may cause "banner blindness," a condition where people grow numb to the never-ending stream of promotional material. This could eventually reduce the efficacy of online advertising. Lastly, customers can be better equipped to make informed judgments about what to buy by having easy access to price and product information online. This could lead to heightened competition and price sensitivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Application, Online, Advertisement, Buying, Consumer,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

EduX is a centralized and smart E-learning platform developed to enhance the digital education experience for both students and educators. It integrates essential features such as secure user authentication, personalized dashboards, real-time chatbot support, interactive quizzes, attendance monitoring, and a responsive design. Built using modern web technologies like HTML, CSS, JavaScript, Node.js, Express.js, MongoDB, EJS, and Bootstrap, EduX aims to deliver a seamless, interactive, and user-friendly learning environment. This paper outlines the system's development process, feature implementation, and the use of each technology stack component, providing a comprehensive understanding of how EduX meets the growing needs of digital education.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart E-learning Platform, User Authentication, Personalized Dashboard, Notes, Chatbot Integration, Quiz Monitoring, Attendance Tracking, Responsive Web Design.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The adoption of e-banking services has transformed the banking sector, offering convenience and efficiency to customers. However, employees in private sector banks face several challenges in adapting to this technological shift. This paper investigates the key obstacles faced by bank employees in adopting e-banking services in the private sector banks of Tirupur. By exploring various factors, including technological barriers, lack of training, resistance to change, and the impact of organizational culture, the study sheds light on the difficulties encountered by employees in integrating e-banking solutions into their daily operations. Additionally, the paper examines how these challenges affect employee productivity, customer service, and overall job satisfaction. The findings underscore the importance of providing comprehensive training programs, fostering a culture of innovation, and addressing technical challenges to ensure smooth adoption of e-banking services and to enhance overall organizational performance.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-banking, Employee Challenges, Technology Adoption, Training, Resistance to Change.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture is a backbone of the global economy, and empowering farmers with advanced technology and tools can enhance productivity and sustainability. Traditional agricultural methods were based on manual tools, natural fertilizers, practices like crop rotation and rainwater harvesting to sustain productivity and soil health. Farmers used their predictive, observational knowledge for weather, crop prediction and recommendation natural pest control remedies, though these methods lacked scalability and resilience against environmental changes. Machine learning offers a promising solution by providing the prediction and recommendation capabilities by analyzing vast datasets, including soil, weather, and crop patterns, to forecast yields, recommend and predict suitable crops, and optimize fertilizer usage. This paper proposes a machine learning-based crop, fertilizer recommendation and prediction, weather and rainfall prediction. The system uses 4 features for crop prediction, 8 features for crop recommendation, 9 features for fertilizer recommendation and 7 features for yield prediction. Along with tools for farmer's assistance like news feed, chatbot support. We evaluate four models--Decision Tree Classifier, Random Forest Classifier, Random Forest Regressor and Statistical Analysis --showing that the models achieve high accuracy by leveraging data-driven patterns, feature importance analysis to optimize predictions and recommendations for agricultural needs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning, Agriculture, prediction, Recommendation, Decision Tree, Random Forest classifier, Random Forest Regressor, Statistical Analysis, Recall, F1 score.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A global challenge that has become a menace is the example of cancers such as lung and colon cancer (LC AND CC) Colon cancer(CC). The path of this research, therefore, in this very important area, is early detection through the use of AI in histological image analysis. The study introduces a novel hybrid feature set aiming to improve classification accuracy by integrating DenseNet201 with color histogram techniques. The validation of this feature set works with eight major ML algorithms-KNN, SVM, Light GBM, CatBoost, XGBoost, decision trees, random forests, and multinomial naive Bayes. This comprehensive study, therefore, highlights an exotic model that achieved an accuracy of 99.683% on the LC AND CC25000 dataset. Taking the same concept to breast cancer detection using the Break His dataset shows a great accuracy of 94.808%. These results highlight the revolutionary potential of AI in the challenging area of histopathological analysis and therefore stand to become a transformative player in accelerating diagnostic accuracy. A thorough comparative analysis showcases the strengths and weaknesses of current AI practices in medical imaging, outlining a pathway for improvement and future clinical application.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Densenet201, histopathological images, image processing, lung and colon cancer, machine learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The construction industry in India faces increasing pressure to meet international quality standards and customer expectations. This study explores the application of Total Quality Management (TQM) and Six Sigma methodologies within the sector to enhance construction quality and project performance. It emphasizes TQM as a comprehensive philosophy involving continuous improvement, employee participation, and customer satisfaction across all project stages. Through a detailed case study of a construction project. The paper evaluates the quality of concrete work using Six Sigma performance metrics. The findings reveal disparities in quality perceptions among stakeholders and identify barriers such as inadequate training, communication gaps, and poor quality control practices. By integrating TQM principles with Six Sigma tools, the research advocates for a structured quality management framework, including stakeholder training, establishment of quality circles, and development of national bodies to promote quality awareness. The proposed model offers a practical approach for enhancing competitiveness and achieving defect-free construction outcomes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

TQM, SIX Sigma

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Image steganography has recently received much attention as a form of secure communication whereby one or more hidden data are embedded into an image. Among the most widely used techniques for data hiding is the Least Significant Bit (LSB) method, where the least significant bits of pixel values are replaced with secret data. However, LSB based steganography often results in visible distortions that can be detected easily. This paper proposes an improved method that utilizes image balancing methods prior to data embedding to reduce such distortions. The method consists of preprocessing the image to balance its brightness, contrast, and colour balance in such a manner that the hidden data will not significantly alter the visual look of the image. The secret data is then embedded into the least significant bits of the balanced image. Experimental results have shown The proposed method successfully conceals data and keeps the quality of the cover image intact. Besides, extraction of the hidden information is carried out with less error rate, indicating the success of the proposed method in both security and visual integrity. This approach is tested through the usage of image quality metrics and accuracy of data extraction that makes it a good approach for practical use in secure communication.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image Steganography, Least Significant Bit (LSB), Image Balancing, Data Hiding, Image Processing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Drotaverine HCl, Aceclofenac, UV spectrophotometry, Simultaneous equation method, Method validation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A decentralized social media application using Ethereum redefines the nature of interaction on the internet with an emphasis on privacy, ownership, and transparency. There is no one point of control such as for central sites, making censorship and abuse of data unthinkable. User activity like posting and sharing is controlled by automatically acting smart contracts that bring in trust and finality. Web3 wallets like MetaMask eliminate the traditional logins with added security and reduced data breaches. Direct users own their contents, encouraging the existence of an uncensored society. A rewarding system compensates users for user participation in blockchain tokens, encouraging user-led and fair social networking.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ethereum, Metamask, Smart Contact, IPFS, Block chain

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the new evolving world, traffic rule violations have become a central issue for majority of the developing countries. The numbers of vehicles are increasing rapidly as well as the numbers of traffic rule violations are increasing exponentially. Managing traffic rule violations has always been a tedious and compromising task. Even though the process of traffic management has become automated, it's a very challenging problem, due to the diversity of plate formats, different scales, rotations and non-uniform illumination conditions during image acquisition. The principal objective of this project is to control the traffic rule violations accurately and cost effectively. The proposed model includes an automated system which uses camera to capture video. The project presents Automatic Number Plate Recognition (ANPR) techniques and other image manipulation techniques for plate localization and character recognition which makes it faster and easier to identify the number plates. After recognizing the vehicle number from number plate the SMS based module is used to notify the vehicle owners about their traffic rule violation. An additional SMS is sent to Regional Transport Office (RTO) for tracking the report status

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Creative Commons Attribution 4.0 and The Open Definition

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Motivation In all the countries there are driving rules available for people to drive carefully by being honest and respecting. When these rules are broken it is defined as a road violation. There road violations that happens in day to day traffic. For an example most common violations such as red light violation, over-speeding, overtaking other vehicles through double white lines and single white lines. These road protocols are applied thoroughly for the places where most of the accidents happe

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Creative Commons Attribution 4.0 and The Open Definition