A report on the impact of information technology and social media on Covid–19

R Sathish, R Manikandan, SS Priscila… - 2020 3rd …, 2020 - ieeexplore.ieee.org
The destruction caused by the COVID-19 virus to the human race is beyond the imagination.
This article elucidates how COVID-19 is identified as a threat to human life. The statistical …

Automatic human emotion recognition system using facial expressions with convolution neural network

RK Madupu, C KOTHAPALLI, V YARRA… - 2020 4th …, 2020 - ieeexplore.ieee.org
Emotion recognition using facial expression is very much necessary these days. Different
kinds of emotions reflect a different definitions. Facial emotion recognition plays a major role …

Opportunities and Challenges of Marketing 5.0

AB Movahed, AB Movahed, H Nozari - Smart and Sustainable …, 2024 - igi-global.com
The fifth generation of marketing is Marketing 5.0 (M 5.0). In this chapter, the opportunities
and challenges of M 5.0 are defined. The main factors of M 5.0 are humans, culture, and …

Facial emotion recognition using convolution neural network

S Modi, MH Bohara - 2021 5th international conference on …, 2021 - ieeexplore.ieee.org
With the transition from laboratory-controlled to daunting in-the-wild conditions of facial
Emotion recognition (FER) and the recent popularity of deep learning strategies in various …

Ensuring privacy of data and mined results of data possessor in collaborative ARM

D Dhinakaran, PM Joe Prathap - Pervasive Computing and Social …, 2022 - Springer
The usage of the data mining (DM) technique has rapidly increased in the recent era. Most
organizations utilize DM for forecasting their goals and for predicting various possibilities of …

[PDF][PDF] Novel influence maximization algorithm for social network behavior management

D Sivaganesan - Journal of ISMAC, 2021 - scholar.archive.org
The users largely contributing towards product adoption or information utilization in social
networks are identified by the process of influence maximization. The exponential growth in …

Sentiment Analysis of Student Texts Using the CNN‐BiGRU‐AT Model

W Yan, L Zhou, Z Qian, L **ao, H Zhu - Scientific Programming, 2021 - Wiley Online Library
For most current sentiment analysis models, it is difficult to capture the complex semantic
and grammatical information in the text, and they are not fully applicable to the analysis of …

[PDF][PDF] Naïve Bayes and entropy based analysis and classification of humans and chat bots

S Smys, W Haoxiang - Journal of ISMAC, 2021 - scholar.archive.org
Internet users are largely threatened by abuse and manipulation of several automated chat
service programs called as chat bots. Malware and spam is distributed by the popular chat …

An efficient ResNet-50 based intelligent deep learning model to predict pneumonia from medical images

M Chhabra, R Kumar - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Pneumonia is a devastating disease from which millions of people died every year. Deep
learning can be considered as a crucial tool for detecting the disease quickly and accurately …

Design and evaluation of a deep learning algorithm for emotion recognition

RR Subramanian, CS Niharika, DU Rani… - … and Control Systems …, 2021 - ieeexplore.ieee.org
Facial emotion recognition is one of the most interesting research areas where many
researchers are actively participating over the past few decades. This paper attempts to …