Deep learning in sentiment analysis: Recent architectures
T Abdullah, A Ahmet - ACM Computing Surveys, 2022 - dl.acm.org
Humans are increasingly integrated with devices that enable the collection of vast
unstructured opinionated data. Accurately analysing subjective information from this data is …
unstructured opinionated data. Accurately analysing subjective information from this data is …
Job satisfaction and intention to quit: A bibliometric review of work-family conflict and research agenda
This paper, for the first time, performs a bibliometric review on work-family conflict focusing
on job satisfaction and intention to quit since the inception of this concept in 1994. For …
on job satisfaction and intention to quit since the inception of this concept in 1994. For …
Prediction of future terrorist activities using deep neural networks
One of the most important threats to today's civilization is terrorism. Terrorism not only
disturbs the law and order situations in a society but also affects the quality of lives of …
disturbs the law and order situations in a society but also affects the quality of lives of …
A Novel Deep Convolutional Neural Network Model to Monitor People following Guidelines to Avoid COVID‐19
COVID‐19, a deadly disease that originated in Wuhan, China, has resulted in a global
outbreak. Patients infected with the causative virus SARS‐CoV‐2 are placed in quarantine …
outbreak. Patients infected with the causative virus SARS‐CoV‐2 are placed in quarantine …
Deep learning support for intelligent transportation systems
J Guerrero‐Ibañez… - Transactions on …, 2021 - Wiley Online Library
Abstract Intelligent Transportation Systems (ITS) help improve the ever‐increasing vehicular
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …
Linking corporate social irresponsibility with workplace deviant behaviour: mediated by moral outrage
Purpose This study aims to examine the effects of external corporate social irresponsibility
on organisational workplace deviant behaviours through the mediation of moral outrage …
on organisational workplace deviant behaviours through the mediation of moral outrage …
Analysis and classification of employee attrition and absenteeism in industry: A sequential pattern mining-based methodology
Employee attrition and absenteeism are major problems that affect many industries and
organizations, resulting in diminished productivity, elevated costs, and losses. These …
organizations, resulting in diminished productivity, elevated costs, and losses. These …
Optimal policy learning for COVID-19 prevention using reinforcement learning
MI Uddin, SA Ali Shah… - Journal of …, 2022 - journals.sagepub.com
COVID-19 has changed the lifestyle of many people due to its rapid human-to-human
transmission. The spread started at the end of January 2020, and different countries used …
transmission. The spread started at the end of January 2020, and different countries used …
Developing an efficient deep learning‐based trusted model for pervasive computing using an LSTM‐based classification model
Mobile and pervasive computing is one of the recent paradigms available in the area of
information technology. The role of pervasive computing is foremost in the field where it …
information technology. The role of pervasive computing is foremost in the field where it …
Reversible data hiding techniques with high message embedding capacity in images
Reversible Data Hiding (RDH) techniques have gained popularity over the last two decades,
where data is embedded in an image in such a way that the original image can be restored …
where data is embedded in an image in such a way that the original image can be restored …