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A word embedding technique for sentiment analysis of social media to understand the relationship between Islamophobic incidents and media portrayal of Muslim communities
(PeerJ Inc., 2022)
Islamophobia is a sentiment against the Muslim community; recently, atrocities towards Muslim communities witnessed this sentiment globally. This research investigates the correlation between how news stories covered by ...
A Deep Learning Approach for Prediction of Protein Secondary Structure
(Tech Science Press, 2022)
The secondary structure of a protein is critical for establishing a link between the protein primary and tertiary structures. For this reason, it is important to design methods for accurate protein secondary structure ...
Automatic Eyewitness Identification During Disasters by Forming a Feature-Word Dictionary
(Tech Science Press, 2022)
Social media provide digitally interactional technologies to facilitate information sharing and exchanging individuals. Precisely, in case of disasters, a massive corpus is placed on platforms such as Twitter. Eyewitness ...
An evolutionary algorithm for multi-objective optimization of freshwater consumption in textile dyeing industry
(PeerJ Inc., 2022)
Optimization is challenging even after numerous multi-objective evolutionary algorithms have been developed. Most of the multi-objective evolutionary algorithms failed to find out the best solutions spread and took more ...
A video summarization framework based on activity attention modeling using deep features for smart campus surveillance system
(PeerJ Inc., 2022)
Like other business domains, digital monitoring has now become an integral part of almost every academic institution. These surveillance systems cover all the routine activities happening on the campus while producing a ...
A Deep Neural Network-Based Approach for Sentiment Analysis of Movie Reviews
(Hindawi Limited, 2022)
The number of comments/reviews for movies is enormous and cannot be processed manually. Therefore, machine learning techniques are used to efficiently process the user's opinion. This research work proposes a deep neural ...
Load Forecasting Techniques for Power System: Research Challenges and Survey
(IEEE, 2022)
The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy and small
error to give uninterrupted ...