A5003688784- Advanced Memory and Neural Computing
- Oil and Gas Production Techniques
- Neural dynamics and brain function
- Vehicle License Plate Recognition
- Drilling and Well Engineering
- Ferroelectric and Negative Capacitance Devices
- Reservoir Engineering and Simulation Methods
- Handwritten Text Recognition Techniques
- Computer Science and Engineering
- Radio Frequency Integrated Circuit Design
- Sensor Technology and Measurement Systems
- Neural Networks and Reservoir Computing
- Geophysics and Sensor Technology
- Technology Adoption and User Behaviour
- FinTech, Crowdfunding, Digital Finance
- Video Surveillance and Tracking Methods
- Ultrasound Imaging and Elastography
- Structural Integrity and Reliability Analysis
- Image Processing and 3D Reconstruction
- Scientific and Engineering Research Topics
- Wireless Body Area Networks
- Neuroscience and Neural Engineering
- Advanced Neural Network Applications
- Advanced Electrical Measurement Techniques
- Advancements in PLL and VCO Technologies
Institute of Engineering
2025
Government Medical College
2022
Vignan's Foundation for Science, Technology & Research
2020
Indian Institute of Science Bangalore
2019
Texas Instruments (Norway)
2019
The digitalization of the oil field is happening quickly in and gas sector. assets known as unconventional petroleum are plentiful dispersed; they include tight gas, coal bed methane oil, heavy sand. Drilling presents several risks, expenses, operational issues production business because people quantitative mistakes, among other types faults. A more effective method needed to overcome obstacles, get insights, make wise judgments quickly. Therefore, this paper proposes a machine...
A 2.4 GHz low power, Internet-of-Things (IoT) based system for neonatal health-care application is presented. The includes an ultra-low power receiver compatible with a wearable device interface-connectivity to the sensors and controller. novel design of "wake-up" architecture presented, where LC oscillator ring combination provides desired solution. proposed front-end consists gm-boosting current-reuse noise amplifier (LNA) transmission-gate passive switching mixer. prototype designed in...
Recent advances in the unsupervised and generative models of deep learning have shown promise for application biomedical signal processing. In this work, we present a portable resource-constrained ultrasound (US) system trained using Variational Autoencoder (VAE) network which performs compressive-sensing on pre-beamformed RF signals. The encoder compresses data, is further transmitted to cloud. At cloud, decoder reconstructs back image, can be used inferencing. compression done with an...
Hardware implementation of brain-inspired algorithms such as reservoir computing, neural population coding and deep learning (DL) networks is useful for edge computing devices. The need hardware network arises from the high resource utilization in form processing power requirements, making them difficult to integrate with In this paper, we propose a non-spiking four quadrant current mode neuron model that has generalized design be used coding, echo-state (uses network), DL networks....
The world is turning out to be progressively digitalized raising security concerns and the urgent requirement for strong propelled advancements systems battle expanding complex nature of digital assaults. This paper talks about how machine learning being utilized in resistance offense exercises, remembering conversations assaults focused at models. In this review, we are proposing a scientific categorization IDS, which considers information protests essential measurements group condense IDS...
Image segmentation is a critical step in achieving computer vision. For fast and near real time image it important to use dedicated hardware as works much faster compared software based solutions. This paper presents CMOS analog circuit using semi-supervised learning scheme. The proposed ensures minimal operating power required when its digital implementation due sub-threshold region operation of MOSFET lesser number transistors being used. upon an anisotropic current spreading non linear...