Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review
Over the last couple of decades, community question‐answering sites (CQAs) have been a
topic of much academic interest. Scholars have often leveraged traditional machine learning …
topic of much academic interest. Scholars have often leveraged traditional machine learning …
A framework for hate speech detection using deep convolutional neural network
The rapid growth of Internet users led to unwanted cyber issues, including cyberbullying,
hate speech, and many more. This article deals with the problems of hate speech on Twitter …
hate speech, and many more. This article deals with the problems of hate speech on Twitter …
[HTML][HTML] Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach
CJ Powers, A Devaraj, K Ashqeen, A Dontula… - International Journal of …, 2023 - Elsevier
During natural disasters, emergency communication systems become overloaded, and
people are forced to turn to social media to make requests for help. This study employs …
people are forced to turn to social media to make requests for help. This study employs …
Artificial neural network approaches for disaster management: A literature review
Disaster management (DM) is one of the leading fields that deal with the humanitarian
aspects of emergencies. The field has attracted researchers because of its ever-increasing …
aspects of emergencies. The field has attracted researchers because of its ever-increasing …
Taming energy and electronic waste generation in bitcoin mining: Insights from Facebook prophet and deep neural network
The Bitcoin mining hosted in the blockchain network consumes enormous amounts of
energy and generates electronic waste at an alarming rate. The paper aims to model and …
energy and generates electronic waste at an alarming rate. The paper aims to model and …
Robotics at workplace: An integrated Twitter analytics–SEM based approach for behavioral intention to accept
Robotics application has provided a fruitful combination for hybrid industry 4.0 teams
wherein robotic systems are progressing their way into spaces shared with human workers …
wherein robotic systems are progressing their way into spaces shared with human workers …
Improving crisis events detection using distilbert with hunger games search algorithm
This paper presents an alternative event detection model based on the integration between
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
Social media and sensemaking patterns in new product development: demystifying the customer sentiment
M Giannakis, R Dubey, S Yan, K Spanaki… - Annals of Operations …, 2022 - Springer
Artificial intelligence by principle is developed to assist but also support decision making
processes. In our study, we explore how information retrieved from social media can assist …
processes. In our study, we explore how information retrieved from social media can assist …
The role of explainable Artificial Intelligence in high-stakes decision-making systems: a systematic review
B Sahoh, A Choksuriwong - Journal of Ambient Intelligence and …, 2023 - Springer
A high-stakes event is an extreme risk with a low probability of occurring, but severe
consequences (eg, life-threatening conditions or economic collapse). The accompanying …
consequences (eg, life-threatening conditions or economic collapse). The accompanying …