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Sentiment Analysis and Classification of Hotel Opinions in Twitter With the Transformer Architecture
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
Sentiment analysis is of great importance to parties who are interested is analyzing the public opinion in social networks. In recent years, deep learning, and particularly, the attention-based architecture, has taken over ...
COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
Health experts use advanced technological equipment to find complex diseases and diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human bodies. This research discusses using the Internet ...
An Efficient Bet-GCN Approach for Link Prediction
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
The task of determining whether or not a link will exist between two entities, given the current position of the network, is called link prediction. The study of predicting and analyzing links between entities in a network ...
Human Activity Recognition From Sensorised Patient's Data in Healthcare: A Streaming Deep Learning-Based Approach
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
Physical inactivity is one of the main risk factors for mortality, and its relationship with the main chronic diseases has experienced intensive medical research. A well-known method for assessing people’s activity is the ...
Dataset and Baselines for IID and OOD Image Classification Considering Data Quality and Evolving Environments
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
At present, artificial intelligence is in a period of rapid development, and deep learning has begun to be applied in various fields. Data, as a key part of the deep learning, its efficiency and stability, will directly ...
An Efficient Probabilistic Methodology to Evaluate Web Sources as Data Source for Warehousing
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
Internet is the largest source of data and the requirement of data analytics have fueled the data warehouse to switch from structured conventional Data Warehouse to complex Web Data Warehouse. The dynamic and complex nature ...
A Spatio-Temporal Attention Graph Convolutional Networks for Sea Surface Temperature Prediction
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
Sea surface temperature (SST) is an important index to detect ocean changes, predict SST anomalies, and prevent natural disasters caused by abnormal changes, dynamic variation of which have a profound impact on the whole ...
Editor’s Note
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
With the rapid development of information and communication technologies, artificial intelligence and IoTs, more and more advanced technologies, such as machine learning, reinforcement learning, neural networks and fuzzy ...
Real World Anomalous Scene Detection and Classification using Multilayer Deep Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
Surveillance videos record malicious events in a locality utilizing various machine learning algorithms for detection. Deep-learning algorithms being the most prominent AI algorithms are data-hungry as well as computationally ...
HDDSS: An Enhanced Heart Disease Decision Support System using RFE-ABGNB Algorithm
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
Heart disease is the leading cause of mortality globally. Heart disease refers to a range of disorders that affect the heart and blood vessels. The risks of developing heart disease become minimized if heart disease is ...