Recommender system (RS) is a unique type of information clarification that anticipates the user's evaluation items from large pool based on expectations single stakeholder. The proposed highly useful for getting expected meaning suggestions and guidance choosing proper product using artificial intelligence IoT (Internet Things) such as chatbot. current technique makes it easier stakeholders to make context-based decisions are optimal rather than reactive, which buy, news classification high...

A massive rise in web-based online content today pushes businesses to implement new approaches and resources that might support better navigation, processing, handling of high-dimensional data. Over the Internet, 90% data is unstructured, there are several through which this can translate into useful, structured data—classification one such approach. Classification knowledge a good collection groups significant necessary. As number machine-readable documents proliferates, automatic text...

Background: Railway systems all over the world face an uphill task in preventing train delays. Categorically India, situation is far worse than other developing countries due to high number of passengers and poor update previous system. As per a report Times India (TOI), daily newspaper, around 25.3 million people used travel by 2006 which drastically increased year on 80 2018. Objective: Deploy Machine Learning model predict delay arrival train(s) minutes, before starting journey valid...

Abstract The Internet of Things (IoT) connects people with real‐world objects to exchange data. It is performed using services and devices present in the user's activities based on IoT. Based a common vocabulary or mappings, knowledge information can be exchanged by different agents, services, this scenario. heterogeneous sources represented integrated an ontology. Semantic Web offers semantic interoperability that facilitates communication between technology platforms. state‐of‐the‐art IoT...

Summary In recent years, the usage and applications of Internet Things (IoT) have increased exponentially. IoT connects multiple heterogeneous devices like sensors, micro controllers, actuators, smart mobiles, watches, etc. contributes data produced in context collection, including domains military, agriculture, healthcare, The diversity possible at intersection web semantics has prompted many research teams to work interface between these two disciplines. This makes it collect control...

International Journal of Computer Sciences and Engineering (A UGC Approved indexed with DOI, ICI Approved, DPI Digital Library) is one the leading growing open access, peer-reviewed, monthly, scientific research journal for scientists, engineers, scholars, academicians, which gains a foothold in Asia opens to world, aims publish original, theoretical practical advances Science,Information Technology, (Software, Mechanical, Civil, Electronics & Electrical), all interdisciplinary streams...

In recent years, vast and complex amounts of data are being created making it difficult for traditional processing applications to manage them. The coming the Internet prompted monstrous spike in volume information made accessible. World Wide Web consortium W3C international standardization body web spread Semantic Web. It is an extended form current which provide easier way search, reuse, combine share information. last few major businesses corporations have demonstrated interest...

Zero-day network attacks are a growing global cybersecurity concern. Hackers exploit vulnerabilities in systems, making traffic analysis crucial detecting and mitigating unauthorized attacks. However, inadequate ineffective can lead to prolonged compromises. To address this, machine learning-based zero-day intrusion detection systems (ZDNIDS) rely on monitoring collecting relevant information from data. The selection of pertinent features is essential for optimal ZDNIDS performance given the...

Background: The process of election prediction started long back when common practice for predictions were traditional methods like pundits, hereditary factor etc. However, in recent times new and techniques are being used forecasting Data mining, Science, Big data, numerous machine learning techniques. By using such computational the whole political is changed poll carried out through them. Objective: main objective this research work to propose an model developing areas especially state...

The development of real life problem is not the key issue. Various information technologies available now a days. But major issue that to get more advantages these for academic purpose in distributed environment where faculty and students communicate with software technology rather then individual. Knowledge Based Grid was introduced publishing, managing, sharing utilizing different amount knowledge base resources on Semantic Web environment. discovery from heterogeneous sources challenging...