[ad_1] Introduction In recent years, there has been a growing interest in multi-modal learning for audio-visual speech recognition. This approach leverages both auditory and visual cues to improve the accuracy of speech recognition systems, particularly…
Read More
[ad_1] Introduction: Quantum key distribution (QKD) has emerged as a promising technology for secure communication, leveraging the principles of quantum mechanics to enable the distribution of encryption keys with unconditional security. However, the practical implementation…
Read More
[ad_1] Introduction: In recent years, there has been an increasing focus on intelligent energy management systems that can optimize energy usage and reduce waste. One promising approach to achieving this goal is through the use…
Read More
[ad_1] Introduction Transfer learning has gained significant interest in the field of natural language processing, particularly in cross-language text mining. The ability to transfer knowledge from one language to another has the potential to revolutionize…
Read More
[ad_1] Introduction Quantum key distribution (QKD) is a revolutionary technology that uses the principles of quantum mechanics to provide secure communication channels. With the increasing reliance on mobile communication devices for sensitive transactions and data…
Read More
[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate high-quality images. In particular, GANs have shown promise in the field of image super-resolution, which aims to…
Read More
[ad_1] Introduction Secure multi-party computation (MPC) is a subfield of cryptography that enables parties to jointly compute a function of their inputs while keeping those inputs private. Privacy-preserving clustering is a data mining technique that…
Read More
[ad_1] Introduction In recent years, deep learning has gained popularity in various industries for its ability to automate complex tasks and make accurate predictions. One area where deep learning has shown significant promise is in…
Read More
[ad_1] Thesis Overview: Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have gained significant attention in recent years due to their ability to provide privacy-preserving credential systems. This thesis aims to explore the applications and…
Read More
[ad_1] Introduction Decentralized reputation systems using blockchain have gained significant interest in recent years due to the potential they hold to revolutionize the way we establish trust in online interactions. By leveraging the transparency and…
Read More