Browse Items (6 total)
- Collection: Vol. 14 No. 2 (2021)
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Brain Tumors Detection By Using Convolutional Neural Networks and Selection of Thresholds By Histogram Selection
Brain tumors in medical images have a high diversity in terms of shape and size. Some of the data found a form between the tumor tissue and normal tissue, whereas knowing the tumor’s profile and characteristics becomes a crucial part of searching. By…
The Stock Exchange Prediction using Machine Learning Techniques: A Comprehensive and Systematic Literature Review
This literature review identifies and analyzes research topic trends, types of data sets, learning
algorithm, methods improvements, and frameworks used in stock exchange prediction. A total of 81
studies were investigated, which were published…
algorithm, methods improvements, and frameworks used in stock exchange prediction. A total of 81
studies were investigated, which were published…
Increasing The Capacity of Headstega Based on Bitwise Operation
Headstega (Head steganography) is a noiseless steganography that used email headers as a cover for concealing messages. However, it has less embedding capacity and it raises suspicion. For overcoming the problem, bitwise operation is proposed. In the…
Facial Expression Recognition using Residual Convnet with Image Augmentations
During the COVID-19 pandemic, many offline activities are turned into online activities via video meetings to prevent the spread of the COVID-19 virus. In the online video meeting, some micro-interactions are missing when compared to direct social…
Student Academic Mark Clustering Analysis and Usability Scoring on Dashboard Development Using K-Means Algorithm and System Usability Scale
Learning activities are one of the processes of delivering information or messages from teachers to students. SMPN 4 Sidoarjo is a State Junior High School (JHS) located in Sidoarjo Regency. During
the learning process, the collected academic score…
the learning process, the collected academic score…