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Reinforcement learning for dynamic pricing – Complete Phd and Masters Thesis

Reinforcement learning for dynamic pricing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, dynamic pricing has become a popular strategy among businesses to optimize pricing strategies based on various factors such as demand, competition, and market conditions. With the advancement of machine learning…

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Explainable deep learning for autonomous driving – Complete Phd and Masters Thesis

Explainable deep learning for autonomous driving – Complete Phd and Masters Thesis

[ad_1] Introduction Autonomous driving is an emerging technology that has the potential to revolutionize transportation by making vehicles safer, more efficient, and convenient. Deep learning, a subset of artificial intelligence, has shown great promise in…

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Federated transfer learning for cross-device personalization – Complete Phd and Masters Thesis

Federated transfer learning for cross-device personalization – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, personalized recommendations and content are essential for providing an engaging and tailored user experience across various devices. Federated transfer learning, a cutting-edge technique in machine learning, offers a promising…

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Quantum-inspired optimization for supply chain logistics – Complete Phd and Masters Thesis

Quantum-inspired optimization for supply chain logistics – Complete Phd and Masters Thesis

[ad_1] **Introduction** Quantum-inspired optimization has gained much attention in recent years as a promising approach to solve complex optimization problems efficiently. Supply chain logistics is a critical area where optimization plays a vital role in…

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Quantum error correction for fault-tolerant quantum computing – Complete Phd and Masters Thesis

Quantum error correction for fault-tolerant quantum computing – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum error correction is a crucial component in the development of fault-tolerant quantum computing. With the potential to revolutionize computing capabilities, quantum computing offers the possibility of solving problems that are currently intractable…

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Zero-shot learning for open-domain question answering – Complete Phd and Masters Thesis

Zero-shot learning for open-domain question answering – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning (ZSL) is a challenging task in the field of artificial intelligence and machine learning, where the goal is to develop models that can answer questions on unseen topics without any prior…

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Quantum key distribution for secure internet of things – Complete Phd and Masters Thesis

Quantum key distribution for secure internet of things – Complete Phd and Masters Thesis

[ad_1] Introduction The Internet of Things (IoT) is rapidly becoming an integral part of our daily lives, with a vast array of devices connected to the internet to improve efficiency, convenience, and communication. However, the…

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Neuromorphic computing for robotic control – Complete Phd and Masters Thesis

Neuromorphic computing for robotic control – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, there has been a growing interest in the development of Neuromorphic computing for robotic control due to its potential to revolutionize the field of robotics. Neuromorphic computing is a branch…

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Distributed ledger technology for intellectual property management – Complete Phd and Masters Thesis

Distributed ledger technology for intellectual property management – Complete Phd and Masters Thesis

[ad_1] Introduction: In today’s digital age, the management and protection of intellectual property (IP) have become increasingly complex and challenging. With the rise of digital assets and globalized markets, traditional methods of IP management are…

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Zero-knowledge proofs for secure e-voting – Complete Phd and Masters Thesis

Zero-knowledge proofs for secure e-voting – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, electronic voting (e-voting) has gained popularity as a means to conduct secure and efficient elections. However, concerns about the security and integrity of e-voting systems have also been raised. One…

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