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- W4309229080 abstract "With prevalence of social network and invasion of internet, a new type of violence is threatened the world and especially the women. Gender-Based Violence considered a new generation of threat which results unsafe environment for our societies. Therefore, countries, humanitarian organizations and data scientists are considered this threat is a critical problem and resources have to be allocated to eliminate it. Artificial Intelligence becomes the most impactful science that plays major role in our daily lives. AI evolves remarkably and it involved into many industries to contribute and build creative products. Deep Learning techniques is a subset of AI family. Deep Learning has the ability to predict new results based on input data. Therefore, data scientists are highly encouraged to use Deep Learning techniques to predict Gender-Based Violence from social network datasets." @default.
- W4309229080 created "2022-11-24" @default.
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- W4309229080 date "2022-10-20" @default.
- W4309229080 modified "2023-10-18" @default.
- W4309229080 title "Using ANN to Predict Gender-Based Violence in Iraq: How AI and data mining technologies revolutionized social networks to make a safer world" @default.
- W4309229080 doi "https://doi.org/10.1109/ismsit56059.2022.9932831" @default.
- W4309229080 hasPublicationYear "2022" @default.
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