[ad_1] Introduction In recent years, the demand for online learning platforms has increased significantly, leading to the development of Learning Management Systems (LMS). LMS enable instructors to deliver course material, assess student performance, and facilitate…
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[ad_1] Introduction Augmented Reality (AR) and Virtual Reality (VR) are two rapidly advancing technologies that have gained significant attention in the field of education in recent years. These technologies have the potential to revolutionize the…
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[ad_1] Introduction In recent years, there has been a growing interest in utilizing blockchain technology to secure personal health records. With concerns about data breaches and privacy violations on the rise, blockchain offers a decentralized…
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[ad_1] Introduction Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a powerful cryptographic tool for verifiable multi-party computation. In this thesis, we explore the application of zk-SNARKs in facilitating secure and efficient multi-party…
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[ad_1] Introduction Quantum machine learning (QML) has emerged as a promising field at the intersection of quantum computing and machine learning. With the potential for exponential speedup in certain computational tasks, quantum algorithms have the…
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[ad_1] Introduction In recent years, the use of blockchain technology has gained significant attention in various industries due to its transparency, security, and decentralization. One particular area where blockchain technology has the potential to revolutionize…
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[ad_1] Introduction Quantum-inspired optimization, based on principles of quantum mechanics, has emerged as a promising approach for solving complex optimization problems efficiently. Facility location problems are important in various real-world applications such as supply chain…
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[ad_1] **Introduction** The advancement of technology has led to an abundance of audio-visual data, making it essential to develop efficient methods for analyzing and localizing events in multimedia content. Multi-modal learning, which leverages both audio…
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[ad_1] Introduction: Zero-shot learning for relation extraction is an emerging field in natural language processing that aims to extract relations between entities without requiring any labeled training data for those specific relations. Traditional relation extraction…
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[ad_1] Introduction In recent years, sentiment analysis has gained significant attention in various application domains such as social media, e-commerce, and customer feedback analysis. Sentiment analysis aims to identify and extract subjective information from textual…
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