[PDF][PDF] A Review of Current Perspective and Propensity in Reinforcement Learning (RL) in an Orderly Manner
S Pandey, R Agarwal, S Bhardwaj… - International Journal of …, 2023 - academia.edu
Reinforcement learning is an area of Machine Learning. The three primary types of machine
learning are supervised learning, unsupervised learning, and reinforcement learning (RL) …
learning are supervised learning, unsupervised learning, and reinforcement learning (RL) …
[PDF][PDF] Machine Learning-Based Crowd Behavior Analysis and Forecasting
S Bhardwaj, A Dwivedi, A Pandey… - … Journal of Scientific …, 2023 - researchgate.net
In many places today, the world's overcrowding causes crowded conditions. Analysis of
crowd activity is a developing field of study. It is common knowledge that mob activity can …
crowd activity is a developing field of study. It is common knowledge that mob activity can …
[PDF][PDF] A study on high dimensional big data using predictive data analytics model
N Krishnadoss, L Ramasamy - Indonesian Journal of Electrical …, 2023 - academia.edu
A massive bulk of data is being created due to digitalisation in various industries, including
medical, manufacturing, sales, internet of things (IoT) devices, the web, and businesses. To …
medical, manufacturing, sales, internet of things (IoT) devices, the web, and businesses. To …
An Empirical Investigation of Human Identity Verification Methods
Y Perwej - International Journal of Scientific Research in Science …, 2023 - hal.science
A recognition technique is essential in practically every industry in the current digital era. It
has several advantages and may be used for security, identification, and authentication. The …
has several advantages and may be used for security, identification, and authentication. The …
[PDF][PDF] Tropical Convolutional Neural Networks (TCNNs) Based Methods for Breast Cancer Diagnosis
One of these is breast cancer, which has surpassed all other cancers as the leading cause
of death in women [1]. Breast cancer is responsible for 15% of deaths among women. Breast …
of death in women [1]. Breast cancer is responsible for 15% of deaths among women. Breast …
[PDF][PDF] State of the Art Machine Learning Techniques for Detecting Fake News
A Dwivedi, BB Dumka, S Kumar… - International J. of …, 2023 - researchgate.net
The social media has significantly changed how we communicate and exchange information
throughout time. Along with it comes the issue of fake news' quick spread, which may have …
throughout time. Along with it comes the issue of fake news' quick spread, which may have …
Using Emerging Deep Convolutional Neural Networks (DCNN) Learning Techniques for Detecting Phony News
Over the years, social media has revolutionized the way people share and receive
information. The rapid dissemination of false information is another concern that may have …
information. The rapid dissemination of false information is another concern that may have …
[PDF][PDF] An Evolutionary Fake News Detection Based on Tropical Convolutional Neural Networks (TCNNs) Approach
V Verma, A Dwivedi, P Kajal, D Agarwal… - 2023 - researchgate.net
Fake News is a wide-ranging everyday phenomenon that is swiftly becoming into a
persistent problem impacting people, the public, and the corporate sectors [1]. This important …
persistent problem impacting people, the public, and the corporate sectors [1]. This important …
[PDF][PDF] Crowd Analysis and Tracking for Individual Rescue Operation Using Machine Learning
Y Janardhanan, S Prathyush, K Chitesh, R Martin - academia.edu
Crowd management and rescue operations in densely populated areas pose a significant
challenge, particularly in the context of identifying and aiding individuals in distress. By …
challenge, particularly in the context of identifying and aiding individuals in distress. By …