This thesis reports a detailed study on the structural and functional characterization of the hypothetical protein (TTHA1873) from Thermus thermophilus. In this study, both the structure and function of TTHA1873 were ...

Guided wave optical technology, made possible by the invention of lasers and low-loss optical fibers, has revolutionized communication over the past century. With their high bandwidth capabilities, optical fibres have ...

Multilevel inverters (MLIs) are preferred for high and medium power applications due to their numerous advantages over traditional two-level inverters. MLIs generate output phase voltages with multiple levels, mitigating ...

Biosensors offer high specificity, sensitivity, real-time recognition, and rapid response across various applications, including Medical Diagnostics, Environmental Monitoring, Food Safety, agriculture, Point-of-Care ...

Video data has been historically known for its unstructured nature, rich semantic content and scalability issues in terms of storage. With advances in computer vision and Deep Neural Net works (DNNs) it is now possible ...

On-chip photonics for spectroscopy and sensing refers to the integration of photonic components and devices onto a single semiconductor chip to enable efficient and compact spectroscopic and sensing applications. Traditional ...

Membrane bioreactor has emerged as one of the leading technologies for treating municipal and industrial wastewater due to its efficiency in producing high-quality effluents. One of the significant challenges in bioreactors ...

With the recent surge in the usage of electronic devices, electromagnetic interference (EMI) poses a serious threat. Unwanted electromagnetic (EM) waves not only interfere with the normal functioning of electronic components, ...

Achieving low latency is of utmost importance in applications demanding real-time sensing and control as in cyber-physical systems. In this thesis, we explore three different facets of ensuring low latency in such systems. ...

Artificial Neural Networks (ANN) have been very successful due to their ability to extract meaningful information without any need for pre-processing raw data. First artificial neural networks were created in essence to ...