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Neuromorphic computing for real-time robotics control – Complete Phd and Masters Thesis

Neuromorphic computing for real-time robotics control – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing has been gaining significant attention in recent years as a promising approach to achieve real-time control in robotics. By mimicking the structure and functionalities of the human brain, neuromorphic computing systems…

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Secure IoT-based smart parking systems – Complete Phd and Masters Thesis

Secure IoT-based smart parking systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the Internet of Things (IoT) has revolutionized various industries by connecting devices, sensors, and systems to the internet to enable smart and efficient operations. One of the areas where IoT…

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Emotion AI for virtual therapist applications – Complete Phd and Masters Thesis

Emotion AI for virtual therapist applications – Complete Phd and Masters Thesis

[ad_1] Introduction Emotion AI, also known as affective computing or emotional intelligence, is a rapidly growing field in artificial intelligence that focuses on developing technology capable of recognizing and interpreting human emotions. This technology has…

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Quantum key distribution for satellite-based communication – Complete Phd and Masters Thesis

Quantum key distribution for satellite-based communication – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum key distribution (QKD) is a revolutionary technology that leverages the principles of quantum mechanics to securely transmit encryption keys over long distances. With the increasing reliance on satellite-based communication systems for various…

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AI-powered predictive maintenance for industrial robots – Complete Phd and Masters Thesis

AI-powered predictive maintenance for industrial robots – Complete Phd and Masters Thesis

[ad_1] Introduction: Industrial robots play a crucial role in modern manufacturing processes, performing tasks with high precision and efficiency. However, like any other machinery, industrial robots are prone to wear and tear, which can lead…

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Neuromorphic computing for real-time image processing – Complete Phd and Masters Thesis

Neuromorphic computing for real-time image processing – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing has emerged as a promising approach to address the challenges associated with real-time image processing. Inspired by the human brain’s architecture and functionality, neuromorphic systems aim to mimic the parallel processing,…

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Secure IoT-based environmental monitoring systems – Complete Phd and Masters Thesis

Secure IoT-based environmental monitoring systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the Internet of Things (IoT) has gained significant attention as a promising technology for various applications, including environmental monitoring. Secure IoT-based environmental monitoring systems have the potential to revolutionize the…

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Distributed ledger technology for luxury goods authentication – Complete Phd and Masters Thesis

Distributed ledger technology for luxury goods authentication – Complete Phd and Masters Thesis

[ad_1] Introduction: Distributed ledger technology (DLT) has gained significant attention in recent years for its potential application in various industries, including the luxury goods market. This technology allows for secure, transparent, and decentralized record-keeping, which…

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Digital twin technology for precision agriculture – Complete Phd and Masters Thesis

Digital twin technology for precision agriculture – Complete Phd and Masters Thesis

[ad_1] Introduction Precision agriculture is an innovative approach in agriculture that utilizes technology to optimize crop production while minimizing resources such as water, fertilizer, and pesticides. One of the key technologies that have emerged in…

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Reinforcement learning for autonomous trading algorithms – Complete Phd and Masters Thesis

Reinforcement learning for autonomous trading algorithms – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the application of reinforcement learning techniques to develop autonomous trading algorithms in financial markets. These algorithms are designed to make trading decisions without…

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