Haryani, Haryani, UIN Alauddin Makassar, Indonesia
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Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024) - Articles
Deep Learning Based LSTM Model Hyperparameter Testing to Predict the Number of Road Accidents
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Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi (SNATI) publishes comprehensive articles in the field of information technology. Manuscripts on original works are solicited on a variety of topics, including, but not limited to, the following tracks and topics:
All submissions will go through a double-blind peer-review process through an online system. The review process takes approximately 4–6 weeks and starts 2 months before the publication schedule. The review process focuses on the manuscript's novelty and its contribution to the development of science in information technology.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.