[ad_1] Introduction Text mining and information extraction are essential techniques in the field of scientific literature review. With the explosion of research papers being published daily, it has become increasingly difficult for researchers to keep…
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[ad_1] Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Thesis 1.9 Definition of…
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[ad_1] Introduction In recent years, there has been a growing interest in the application of quantum computing and quantum-inspired algorithms in various fields, including logistics and supply chain management. Quantum computing has the potential to…
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[ad_1] Introduction Privacy-Preserving Encrypted Machine Learning is a rapidly growing field in the intersection of machine learning and privacy protection. With the increasing use of machine learning models in various sectors such as healthcare, finance,…
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[ad_1] Introduction Citizen science is a collaborative research approach that involves members of the public in scientific research projects. It allows non-scientists to contribute to various scientific fields, such as biology, environmental science, astronomy, and…
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[ad_1] Introduction: Knowledge graphs and the Semantic Web have emerged as powerful tools for Business Intelligence, providing organizations with the ability to ingest, integrate, and analyze vast amounts of data in a structured and meaningful…
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[ad_1] Introduction The ocean covers more than 70% of the Earth’s surface and yet, only a small fraction of it has been explored. With the advancement of technology, the use of underwater devices has become…
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[ad_1] Introduction Graph Neural Networks (GNNs) have emerged as a powerful tool in the field of anomaly detection in Industrial Internet of Things (IIoT) applications. With the increasing complexity and interconnectedness of industrial systems, traditional…
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[ad_1] Introduction: Federated Learning is a decentralized machine learning approach that allows multiple collaborative robots to train a shared model without sharing their individual data with a central server. This emerging technology has shown great…
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[ad_1] Introduction The integration of data from various sources has become increasingly important in today’s data-driven world, with organizations relying on data to make informed decisions and gain a competitive edge. Data Fabric Architecture for…
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