This paper describes the design of Azure-SQL AutoSizer, a SKU recommendation engine for automatically selecting Azure SQL PaaS targets (i.e. Azure SQL Database and Azure SQL Managed In- stance) to which on-premises SQL workloads can be migrated. Unlike existing tools that require intrusive access to...

Android platforms are gaining popularity and hence, they have become the popular victims of viral attacks. The project is an undertaking dealing with malware detector system development. The android application and the Voting Classifier algorithm which uses the Linear Discriminant Analysis (LDA) and...

Extracting essential information from unstructured and mixed types of documents is a tremendous challenge in many organizations. Documents like scanned receipts, invoices, and native PDFs often contain noise, uneven layouts, faded text, and formatting differences, which makes it difficult for traditional...

Many students in India have difficulty with career. Decisions out of lack of structured and affordable guidance. In particular in rural and semi-urban areas. Most existing digital. Career guidance tools are not to the Indian. Education which also does not take into account subject eligibility, entry....

Federated Learning (FL) is a potential distributed machine learning paradigm that protects user privacy by allowing collaborative model training without direct data sharing. Notwithstanding its benefits, FL is extremely susceptible to poisoning attacks, in which malevolent actors purposefully alter model...

During the recent years, the blistering development of Internet of Things (IoT) and cyber-physical systems has required innovative, privacy-sensitive, and distributed cyber security systems. Federated Learning (FL) has become a paradigm shift model that allows several parties to cooperatively train a...

The concept of web automation has emerged as a key miler to large scale data retrieval, software testing and smart engagement with the contemporary web applications. Not all automation and scraping tools, however, are flexible enough to handle dynamic web interfaces and some need a lot of technical expertise...

Email spam is one of the biggest problems of the modern communication technology, which has a significant negative impact on productivity and cybersecurity. Because of the exponential increase in Internet usage, spam emails have increased manyfold, making basic rule-based filtering approaches inefficient...

The modern vehicles are becoming highly integrative and connected through the use of digital technologies which have transformed the user experience through the infotainment systems. Nonetheless, with this development has come a variety of cybersecurity risks to vehicular networks. The infotainment gateway...

Sales forecasting is a key ingredient to adequate business planning, inventory control, and strategy. The ability to forecast the future sales properly assists the organizations in maximizing resources, reducing the costs of operations, and enhancing the performance. However, there are complicated tendencies...

It is an intelligent framework of the prediction and classification of heart disease and dynamic kidney disease by implementing advanced machine learning techniques. Both cardiovascular and renal diseases fall under the list of common causes of morbidity and mortality on the planet, and are likely to...

The increasing popularity of open-source hardware has, unfortunately, also made it easier to sneak in malicious changes – specifically, hardware Trojans that can hide really well from normal checks. The usual ways of finding these Trojans often depend on simple structural rules, basic code analysis,...

In today’s fast-paced and competitive digital economy, small and medium retail businesses urgently need a reliable, scalable, and efficient platform to connect seamlessly with wholesalers and manufacturers. Traditional B2B commerce is often manual, inefficient, and lacks operational transparency. To...

Machine Vision Systems (MVS) are new and are being recognised as potent instruments of the present-day industrial automation, in which the vision-camera serves as the digital eye, and the sophisticated ML and DL algorithms serve as the thinkable brain, and all of them come as a team to automatically...

Fraud in Financial domain bearings a major hazard to financial systems of modern era, causing in significant commercial losses and lessen the trust among the stakeholders. Conventional fraud detection techniques based on traditional algorithms of machine learning habitually fail to identify the compound...

Demand forecasting plays a critical role in the operations of any retail because it enables the control of the inventory and facilitates a supply chain and maximises revenues. A close examination of time series forecasting methods adopted in three retailing industries i.e. fashion e-commerce, Amazon...