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Theory and Algorithms for sequential non-Gaussian Bayesian filtering and estimation
Seamless integration of dynamical system models with sparse measurements, called as Data Assimilation, is important in many applications like weather forecasting, socio-economics, navigation, and beyond. In order to produce ...
Industry 4.0 Maturity and Readiness Assessment: A case of a Manufacturing Organization
The manufacturing sector is the economic backbone of a country and has traditionally played a key role in the growth of almost every country in the world. In India, the manufacturing sector contributes 17 percent to the ...
Conceptualisation, Development and Validation of Energy Internet for a Transitioning Electricity System
Globally, the national electricity systems are in the midst of aggressive transitions. A shift from large-scale conventional fossil-fuel based power generation systems to large number of small-scale distributed renewable ...
Porous Polymeric Membranes with Engineered Surfaces for Water Remediation
Access to safe drinking water is one of the greatest challenges that have afflicted people
across the globe. Approximately 1.2 billion people do not have access to safe drinking water
while 2.6 billion have no access to ...
Effect of urbanisation & population density on groundwater in India using satellite remote sensing data
This work investigates the relationship of urbanization, population density and meteorological variables (temperature & precipitation) on groundwater storage for the selected study regions in India.
Variations in ...
Architectures for enhancing bandwidth and power scalability of optical frequency combs
Optical frequency combs (OFCs) have revolutionized high bandwidth communications, spectroscopy, arbitrary RF waveform generation, LIDAR (Light Detection and Ranging), and astronomical spectrograph calibration. OFCs have ...
Deep Visual Representations: A study on Augmentation, Visualization, and Robustness
Deep neural networks have resulted in unprecedented performances for various learning tasks. Particularly,
Convolutional Neural Networks (CNNs) are shown to learn representations that can efficiently
discriminate hundreds ...
Droplet Interface Oscillations using Electrowetting-on-Dielectric (EWOD) for Open-Chip Microfluidic Applications
Droplet manipulation on microfluidic platform has gained significant importance
due to its applicability to various healthcare technologies, where larger
equipment can be reduced to portable handheld systems based on ...
Measurement of the viral phenomenon: New methodological exploration
Viral phenomenon in marketing refers to the rapid growth and adoption pattern of a product, akin to a biological virus. Viral phenomenon can be defined as “a word-of-mouth diffusion process wherein a message is actively ...
Interlinkages, Innovation, Internationalization and Economic Performance of Manufacturing SMEs in Bangalore
Small and Medium Enterprises (SMEs) occupy a place of strategic significance in the global economy (including India) due to their significant contributions in terms of employment generation, exports, income creation, and ...

