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Thermoelectric generators for body heat harvesting – Complete Phd and Masters Thesis

Thermoelectric generators for body heat harvesting – Complete Phd and Masters Thesis

[ad_1] Introduction Thermoelectric generators (TEGs) have gained considerable attention in recent years as a promising technology for harvesting waste heat and converting it into electricity. One particular application of TEGs that has been the focus…

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Advanced control algorithms for collaborative robots – Complete Phd and Masters Thesis

Advanced control algorithms for collaborative robots – Complete Phd and Masters Thesis

[ad_1] Introduction Collaborative robots, also known as cobots, are becoming increasingly popular in industrial settings due to their ability to work alongside humans in a safe and efficient manner. However, to fully realize the potential…

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Magneto-rheological fluids in seismic protection – Complete Phd and Masters Thesis

Magneto-rheological fluids in seismic protection – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, the use of Magneto-rheological (MR) fluids has gained significant attention in the field of seismic protection due to their unique properties that can be controlled by an external magnetic field.…

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Robotic systems for pipeline inspection – Complete Phd and Masters Thesis

Robotic systems for pipeline inspection – Complete Phd and Masters Thesis

[ad_1] Introduction: Robotic systems have become increasingly popular in various industries for their ability to perform tasks efficiently, accurately, and safely. One such application is the inspection of pipelines, which is crucial for ensuring the…

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Nanostructured electrodes for supercapacitors – Complete Phd and Masters Thesis

Nanostructured electrodes for supercapacitors – Complete Phd and Masters Thesis

[ad_1] Introduction The demand for energy storage devices with high power density, fast charging, and long cycle life has been increasing rapidly in recent years. Supercapacitors, also known as ultracapacitors or electrochemical capacitors, are promising…

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Piezoelectric transducers for structural health monitoring – Complete Phd and Masters Thesis

Piezoelectric transducers for structural health monitoring – Complete Phd and Masters Thesis

[ad_1] Introduction Piezoelectric transducers have gained significant attention in recent years for their potential applications in structural health monitoring (SHM) due to their ability to convert mechanical energy into electrical energy and vice versa. These…

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Micro-scale generators for implantable devices – Complete Phd and Masters Thesis

Micro-scale generators for implantable devices – Complete Phd and Masters Thesis

[ad_1] Introduction Implantable medical devices are becoming increasingly popular for monitoring and treating various health conditions. These devices often rely on batteries for power, which can be bulky, need frequent replacements, and may pose a…

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Thermoelectric materials for automotive applications – Complete Phd and Masters Thesis

Thermoelectric materials for automotive applications – Complete Phd and Masters Thesis

[ad_1] Introduction Thermoelectric materials have gained increasing attention in recent years due to their potential to convert waste heat into usable electricity. This technology holds great promise for improving the energy efficiency of various applications,…

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Advanced control systems for legged robots – Complete Phd and Masters Thesis

Advanced control systems for legged robots – Complete Phd and Masters Thesis

[ad_1] Introduction Legged robots have gained significant attention in recent years due to their ability to navigate complex terrains and perform tasks in environments that are challenging for wheeled robots. The use of advanced control…

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Machine learning in predictive maintenance of machinery – Complete Phd and Masters Thesis

Machine learning in predictive maintenance of machinery – Complete Phd and Masters Thesis

[ad_1] Introduction With the advancements in technology, businesses are increasingly turning to machine learning techniques to predict and prevent machine failures in various industries. Predictive maintenance using machine learning has proven to be a cost-effective…

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