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Memristor-based neuromorphic visual processing – Complete Phd and Masters Thesis

Memristor-based neuromorphic visual processing – Complete Phd and Masters Thesis

[ad_1] Introduction: Memristor-based neuromorphic visual processing is an emerging field that combines the principles of neuroscience and electronics to create efficient and biologically-inspired visual processing systems. Memristors, which are nanoscale devices capable of changing their…

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Acoustic meta-surfaces for acoustic holograms – Complete Phd and Masters Thesis

Acoustic meta-surfaces for acoustic holograms – Complete Phd and Masters Thesis

[ad_1] Introduction Acoustic meta-surfaces have gained significant attention in recent years due to their ability to manipulate sound waves with unprecedented control and precision. One particular application of acoustic meta-surfaces is the generation of acoustic…

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Spintronic magnetic field sensors based on tunneling magnetoresistance – Complete Phd and Masters Thesis

Spintronic magnetic field sensors based on tunneling magnetoresistance – Complete Phd and Masters Thesis

[ad_1] Introduction Spintronic magnetic field sensors based on tunneling magnetoresistance have gained significant attention in recent years due to their high sensitivity and low power consumption. These sensors utilize the tunneling magnetoresistance effect, where the…

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Memristor-based logic-in-memory architectures – Complete Phd and Masters Thesis

Memristor-based logic-in-memory architectures – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the development of novel computing architectures that can overcome the limitations of traditional von Neumann architectures. Memristors, a fourth fundamental circuit element, have…

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Photonic neuromorphic processors for edge computing – Complete Phd and Masters Thesis

Photonic neuromorphic processors for edge computing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the demand for intelligent edge computing devices has been rapidly increasing due to the exponential growth of data generated by various Internet of Things (IoT) applications. Traditional computing systems are…

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Spin-transfer torque magnetic random access memory – Complete Phd and Masters Thesis

Spin-transfer torque magnetic random access memory – Complete Phd and Masters Thesis

[ad_1] Introduction Spin-transfer torque magnetic random access memory (STT-MRAM) is a promising emerging non-volatile memory technology that possesses numerous advantages over traditional memory technologies such as faster read/write speeds, lower power consumption, and higher endurance.…

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Quantum-dot gain-switched lasers – Complete Phd and Masters Thesis

Quantum-dot gain-switched lasers – Complete Phd and Masters Thesis

[ad_1] **Introduction** Quantum-dot gain-switched lasers have shown great potential for various applications in the field of photonics and optoelectronics. These lasers are known for their unique properties such as ultrafast pulse generation, high peak power,…

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Electromagnetic hyperthermia for targeted drug delivery – Complete Phd and Masters Thesis

Electromagnetic hyperthermia for targeted drug delivery – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, targeted drug delivery systems have gained significant attention for their potential in improving the effectiveness of drug treatments while minimizing side effects. One of the innovative approaches in this field…

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Neuromorphic visual attention models – Complete Phd and Masters Thesis

Neuromorphic visual attention models – Complete Phd and Masters Thesis

[ad_1] Introduction: Neuromorphic visual attention models have gained significant attention in recent years due to their potential to mimic the visual processing mechanisms of the human brain. These models aim to replicate the selective attention…

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Memristor-based neuromorphic learning algorithms – Complete Phd and Masters Thesis

Memristor-based neuromorphic learning algorithms – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the development of neuromorphic computing has gained significant attention due to its potential to mimic the way the human brain processes information. One of the key components of neuromorphic computing…

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