The widespread use of Quick Response (QR) codes has made QR codes an attractive target for cyberattacks, posing a security and privacy concern. Quick Response (QR) codes have revolutionized marketing strategies by pro...
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A growing variety of cyber hazards are appearing as the world becomes more and more digital. The sophistication and rate of innovation of emerging threats puts organizations of all sizes at danger, and traditional cyb...
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This paper aims at establishing the effects of adopting artificial intelligence in the job market based on an artificially generated set of 500 jobs. In the following analysis, the impacts of AI Adoption levels on sal...
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Over the last decade, Bitcoin and Ethereum have become cryptocurrencies that have attracted the attention of the financial world with their potential for business transactions and the use of new blockchain technology....
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In furtherance to this, this research work focuses on the role of applying machine learning techniques in predicting the price of Gold using price data along with three macroeconomic variables. Thirteen models were te...
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With the development of information technology and cloud computing,data sharing has become an important part of scientific *** traditional data sharing,data is stored on a third-party storage platform,which causes the...
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With the development of information technology and cloud computing,data sharing has become an important part of scientific *** traditional data sharing,data is stored on a third-party storage platform,which causes the owner to lose control of the *** a result,there are issues of intentional data leakage and tampering by third parties,and the private information contained in the data may lead to more significant ***,data is frequently maintained on multiple storage platforms,posing significant hurdles in terms of enlisting multiple parties to engage in data sharing while maintaining *** this work,we propose a new architecture for applying blockchains to data sharing and achieve efficient and reliable data sharing among heterogeneous *** design a new data sharing transaction mechanism based on the system architecture to protect the security of the raw data and the processing *** also design and implement a hybrid concurrency control protocol to overcome issues caused by the large differences in blockchain performance in our system and to improve the success rate of data sharing *** took Ethereum and Hyperledger Fabric as examples to conduct crossblockchain data sharing *** results show that our system achieves data sharing across heterogeneous blockchains with reasonable performance and has high scalability.
This paper aims at comparing performance of various machine learning models for the task of predicting diabetes using one of the public datasets. The research assesses the big data analysis in the determination of the...
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This chapter deals with the application of deep learning models, specifically convolutional neural networks (CNNs), ResNet, VGG16, and VGG19, in the domain of eye disease detection. Early and accurate diagnosis of eye...
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Social media platforms, especially Twitter, have become a popular channel for customers to express their grievances related to products or services. Companies need to have an efficient grievance redressal system in pl...
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ISBN:
(纸本)9789819998104
Social media platforms, especially Twitter, have become a popular channel for customers to express their grievances related to products or services. Companies need to have an efficient grievance redressal system in place to address these complaints in real-time to ensure customer satisfaction and loyalty. This research paper presents the development of a cloud-based integrated real-time Twitter grievance redressal system using Amazon Web Services (AWS) and machine learning approach. The proposed system uses AWS cloud infrastructure to lever the huge volume of dataset created by tweets and machine learning algorithms to classify and prioritize them based on their severity. The system includes a web application that allows the grievance redressal team to view, categorize, and respond to the tweets efficiently. The efficiency of the planned system is evaluated via a case study. The results show that the system can effectively handle a huge volume of tweets and improve the grievance redressal process. The system’s response time is significantly reduced, and the team can prioritize the tweets based on their severity and importance, leading to better customer satisfaction. Data security is a critical aspect of the proposed real-time application as it will be handling sensitive data of the users. Therefore, security measures such as encryption, MFA, and disaster recovery must be properly implemented and configured, in order to ensure the security of data of the suggested grievance redressal system. The suggested system has achieved an accuracy of 89.5%. This research paper contributes to the development of efficient social media grievance redressal systems using cloud infrastructure and machine learning algorithms. The proposed system can be easily integrated into existing customer relationship management systems, making it a viable solution for companies of all sizes. The system’s ability to handle real-time data and provide quick responses can improve customer trust and
Effective network communication is essential in the current digital era, and cloud computing (CC) and the Internet of Things (IoT) are significant aspects of daily life. Accelerating and lowering the latency of data t...
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