[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) …

[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 …

[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 …

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 …

[PDF][PDF] Tropical Convolutional Neural Networks (TCNNs) Based Methods for Breast Cancer Diagnosis

A Dwivedi, DBB Dumka, DN Akhtar… - International Journal of …, 2023 - academia.edu
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 …

[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 …

Using Emerging Deep Convolutional Neural Networks (DCNN) Learning Techniques for Detecting Phony News

N Singh, N Akhtar, MS Rabbani, Y Perwej… - International Journal of …, 2024 - hal.science
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 …

[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 …

[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 …