A5003616156- Handwritten Text Recognition Techniques
- Energy, Environment, and Transportation Policies
- Neonatal Respiratory Health Research
- Infant Health and Development
- Vehicle emissions and performance
- Infant Development and Preterm Care
- Advanced Neural Network Applications
- Computer Science and Engineering
- Smart Agriculture and AI
- Business and Economic Development
- Impact of AI and Big Data on Business and Society
- Image Processing and 3D Reconstruction
- Experimental Learning in Engineering
- Vehicle License Plate Recognition
- Air Quality Monitoring and Forecasting
- Advanced Image and Video Retrieval Techniques
- Pediatric health and respiratory diseases
- 3D Shape Modeling and Analysis
- Autonomous Vehicle Technology and Safety
- Video Surveillance and Tracking Methods
- Color perception and design
- Industrial Vision Systems and Defect Detection
- Smart Parking Systems Research
- Embedded Systems and FPGA Applications
- Cleft Lip and Palate Research
Institute of Engineering
2024
Northeastern University
2023
K J Somaiya Medical College
2018
The purpose of this paper is to design and simulate a Protocol Conversion Unit (PCU) for seamless communication between the two widely accepted serial protocols SPI I2C. Design given in takes data from sender device working on protocol sends it receiver I2C protocol, which otherwise without such would not be possible. supports full duplex unlike half duplex. Also faster than other hand just wire interface as does use dedicated Slave Select line. Instead relies Address Acknowledgement scheme...
Object detection and localization is one of the prominent applications computer vision. The paper presents a comparative study state art deep learning methods-YOLOv2, YOLOv3 Mask R-CNN, for birds in wild. Detection an important problem across multiple including aviation safety, avian protection ecological science migrant bird species. Deep based methods are very pre-eminent at detecting localizing image as it can tackle conditions wherein shown diverse shapes sizes most importantly complex...
The illegal disposal of trash is a major public health and environmental concern. Disposing in unplanned places poses serious risks. We should try to restrict cans as much possible. This research focuses on automating the penalization litterbugs, addressing persistent problem littering places. Traditional approaches relying manual intervention witness reporting suffer from delays, inaccuracies, anonymity issues. To overcome these challenges, this paper proposes fully automated system that...
In mass manufacturing of jewellery, the gross loss is estimated before to calculate wax weight pattern that would be investment casted make multiple identical pieces jewellery. Machine learning a technology part AI which helps create model with decision-making capabilities based on large set user-defined data. this paper, authors found way use Learning in jewellery industry estimate crucial Gross Loss. Choosing small data manufactured rings and via regression analysis, it was out there...
We present an end-to-end computer vision pipeline to detect non-nutritive sucking (NNS) -- infant pattern with no nutrition delivered as a potential biomarker for developmental delays, using off-the-shelf baby monitor video footage. One barrier clinical (or algorithmic) assessment of NNS stems from its sparsity, requiring experts wade through hours footage find minutes relevant activity. Our activity segmentation algorithm solves this problem by identifying periods high certainty up 94.0\%...
The most recent concern of all people on Earth is the increase in concentration greenhouse gas atmosphere. these gases has risen rapidly over last century and if trend continues it can cause many adverse climatic changes. There have been ways implemented to curb this by government limiting processes that emit a higher amount CO2, one such gas. However, there mounting evidence CO2 numbers supplied do not accurately reflect performance automobiles road. Our proposal using artificial...