A5101929378- Cancer-related molecular mechanisms research
- Autonomous Vehicle Technology and Safety
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- Advanced Neural Network Applications
- Health and Well-being Studies
- Resilience and Mental Health
- ICT in Developing Communities
- COVID-19 and Mental Health
- Sentiment Analysis and Opinion Mining
- Video Surveillance and Tracking Methods
- Vehicle License Plate Recognition
- Stock Market Forecasting Methods
Indian Institute of Technology Hyderabad
2022
University of Delhi
2022
In many Asian countries with unconstrained road traffic conditions, driving violations such as not wearing helmets and triple-riding are a significant source of fatalities involving motorcycles. Identifying penalizing riders is vital in curbing accidents improving citizens' safety. With this motivation, we propose an approach for detecting, tracking, counting motorcycle riding videos taken from vehicle-mounted dashboard camera. We employ curriculum learning-based object detector to better...
In order to reduce the digital divide, many developing countries are trying put greater use of ICT in their educational structure. However these faced with constraints due rigid education policies and lack physical infrastructure at disposal. This paper discusses issues challenges implementing like India proposes solution a ecosystem[2]. It tries showcase about methodology by which different stakeholders: academics, students SugarLabs community could collaboratively work towards eliminating...
Sentiment analysis is a tool that assists in better understanding the sentiment behind reviews of an individual and allows organization to make improvements its goods services response feedback. An automatic model required classify sentiments as positive negative. Thus, paper proposes sentence-level approach whether movie review or The experiment performed on IMDb dataset using three supervised machine algorithms, Linear Support Vector Machine, Logistic Regression Multinomial Naïve Bayes....
In many Asian countries with unconstrained road traffic conditions, driving violations such as not wearing helmets and triple-riding are a significant source of fatalities involving motorcycles. Identifying penalizing riders is vital in curbing accidents improving citizens' safety. With this motivation, we propose an approach for detecting, tracking, counting motorcycle riding videos taken from vehicle-mounted dashboard camera. We employ curriculum learning-based object detector to better...
Objective: To use classification machine learning techniques to differentiate between early and late-stage colorectal cancer based on individuals' mRNA profiles with clinically recorded data.Methods: A gene signature of 14 unique mRNAs was found using a benchmark dataset extracted from The Cancer Genome Atlas (TCGA) [1]. data the genes were normalized statistical methods, stages divided into late stages. best hypothesis testing. set then tested new gathered Gene Expression Omnibus (GEO) [2]...