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Spatio-temporal Memories: Theory and Algorithms
This thesis is primarily focused on building a systematic theory for spatio-temporal memories based on unsupervised learning and exploring its applications. Also, contributions are made in the area of supervised learning ...
Tactile Cyber-Physical Systems: A Testbed, A Performance Metric and Network Resource Allocation Protocols
Tactile Cyber-Physical Systems (TCPS) use haptic, audio and video modalities to facilitate humans to perform real-time physical interaction of remote objects over ultra-low latency and ultra-reliable networks referred to ...
Entanglement-assisted Additive Qudit Stabilizer Codes
Quantum systems governed by the laws of quantum mechanics are the most awaited technology of this century. Based on the shrinkage in the size of the devices over the years in classical systems, device sizes are expected ...
Physics Based Design & Development of Gallium Nitride High Electron Mobility Transistors (HEMTs) & Schottky Barrier Diodes for Power and RF Applications
Silicon-based transistors such as MOSFETs have been the preferred choice for decades now for both power as well as high-frequency device applications. The meteoric rise of Silicon was fuelled by the quest for a highly ...
ESD Reliability Physics and Reliability Aware Design of Advanced High Voltage CMOS & Beyond CMOS Devices
Electrostatic Discharge (ESD) reliability is one of the major reliability concerns in integrated circuits (IC), which if not addressed while designing devices and circuits, can lead to a permanent damage to the Integrated ...
Addressing Energy and Performance Related Challenges in Networked Embedded Systems
Networked Embedded Systems comprise of spatially and functionally distributed nodes that
are interconnected with one another and with the environment to achieve certain goals. The
nodes are connected to one another through ...
Design and Development of Opto-ThermoAcoustic (OTA) Measurement System to Differentiate Cancer from Adjacent Normal Breast Biopsy Tissue
Breast cancer is the most common cancer accounting for almost 11.7% of all cancer incidences and 6.9% of cancer-related deaths globally in 2020, as per Globocan 2020 report. Diagnosis of breast cancer requires microscopic ...
Classifying Magnetic and Non-magnetic Two-dimensional Materials by Machine Learning
There has been a giant leap in technological advancement with the introduction of graphene and its remarkable properties after 2005. Since the inception of graphene, the new class of materials called 2D materials are ...
Investigations on Voltage Control of Stacked DC-link Series Capacitors with a Nine-Level Inverter for an Induction Motor Load
Multilevel Inverters offer several advantages over two-level inverters in
applications involving medium voltage and high power levels. A variety of applications
are now available for MLI technology, ranging from variable ...
Design and Development of Implantable Electrode Arrays for Recording Signals from Rat’s Brain
Seizure is a neurological disorder due to abnormal, excessive, and hypersynchronous discharges from an aggregate of central nervous system neurons. Epilepsy describes the clinical phenomena of a condition of recurrent and ...