Hand written digit recognition using machine learning
R Sethi, I Kaushik - 2020 IEEE 9th International Conference on …, 2020 - ieeexplore.ieee.org
Hand-written character and digit recognition have been one of the most exigent and
engrossing field of pattern recognition and image processing. The main aim of this paper is …
engrossing field of pattern recognition and image processing. The main aim of this paper is …
Security Threats & Attacks in IoV Environment: Open Research Issues and Challenges
A Garg, A Chauhan… - 2022 Third International …, 2022 - ieeexplore.ieee.org
With advancement in technology, our lives have become safer, smarter and easier. There
has been a large increase in number of vehicles connected to Internet. The rapid progress in …
has been a large increase in number of vehicles connected to Internet. The rapid progress in …
Depression anatomy using combinational deep neural network
A Rustagi, C Manchanda, N Sharma… - … Conference on Innovative …, 2021 - Springer
Depression is a temperament syndrome that causes a tenacious emotion of wretchedness
and loss of interest in any activity. It is a supreme root of mental illness, which has …
and loss of interest in any activity. It is a supreme root of mental illness, which has …
Evaluation of accidental death records using hybrid genetic algorithm
N Sharma, I Kaushik, R Rathi… - Proceedings of the …, 2020 - papers.ssrn.com
Hybrid Genetic algorithms are becoming reasonably important by its ever-increasing
demand to solve real world problems. Genetic algorithm when incorporated with other …
demand to solve real world problems. Genetic algorithm when incorporated with other …
House price prediction using machine learning
N Kamal, E Chaturvedi, S Gautam, S Bhalla - Emerging Technologies in …, 2021 - Springer
Abstract Machine learning plays an important role in image detection, voice recognition,
speech to text conversion, weather forecasting, etc. Safe automobile systems and fine …
speech to text conversion, weather forecasting, etc. Safe automobile systems and fine …
Malware threat analysis of IoT devices using deep learning neural network methodologies
Nowadays, the constant availability of Internet leaves many applications, services, and
systems vulnerable to cyber-attacks such as malware and software piracy. It may …
systems vulnerable to cyber-attacks such as malware and software piracy. It may …
Driver drowsiness detection and traffic sign recognition system
R Pandey, P Bhasin, S Popli, M Sharma… - … Technologies in Data …, 2022 - Springer
A humongous number of road accidents occur every year and a substantial amount of these
cases are due to the drowsy condition of the driver. A driver's well-being on the road decides …
cases are due to the drowsy condition of the driver. A driver's well-being on the road decides …
Exoplanet hunting using machine learning
N Tyagi, P Arora, R Chaudhary, J Bhardwaj - Emerging Technologies in …, 2022 - Springer
With the rapid expansion in the field of aeronautical engineering and its technology, the
unseen and unknown area is now in our view and vision. The planets which are light years …
unseen and unknown area is now in our view and vision. The planets which are light years …
Movie Review Sentimental Analysis Based on Human Frame of Reference
J Singh, H Sharma, R Mishra, S Hazra… - Emerging Technologies in …, 2021 - Springer
It explored an innovative technology of web development,“React js”. It is one of the versatile,
optimized and latest technologies developed by Facebook, which consist of some of its …
optimized and latest technologies developed by Facebook, which consist of some of its …
Sentiment analysis on images using convolutional neural network
RS Kathuria, S Gautam, A Singh, A Singh… - … Technologies in Data …, 2021 - Springer
Sentiment analysis has evolved to be of much greater use; it helps brands, political parties,
governments, and anyone to help gauge the sentiment of the masses towards something …
governments, and anyone to help gauge the sentiment of the masses towards something …