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9  Articles
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Human facial expressions generally represent the emotions or feelings they are feeling at that time. Classification of facial expression images can help to find out what emotions a person is feeling. CNN is type of neural network is used to extract featur... see more

Abstract - session recognition is an interesting topic, where facial expressions in today's technological advances can support several fields such as health, business, and so on. Facial expression recognition can be done using the extraction of certain fe... see more

Permintaan daging sapi Indonesia meningkat secara signifikan setiap tahun. Meningkatnya kebutuhan daging sapi ini sering dimanfaatkan oleh pedagang untuk mendapatkan untung lebih dengan cara mencampurkan daging sapi dan babi (oplosan). Membedakan daging s... see more

In recent years, the application of deep learning-based financial modeling tools has grown in popularity. Research on stock forecasting is crucial to understanding how a nation's economy is doing. The study of intrinsic value and stock market forecasting ... see more

Myers-Briggs Type Indicator (MBTI) is a personality model developed by Katharine Cooks Briggs and Isabel Briggs Myers in 1940. It displays a combination of preferences from four domains. Generally, test takers need to answer about 50 to 70 questions, and ... see more

 The decline and increase in the price of shares of plantation companies is a problem for investors in making decisions to buy or sell shares. Factors influencing the movement of plantation stock prices include CPO commodity price fluctuations, world... see more

Retinopati Diabetik merupakan salah satu penyakit pada retina mata yang disebabkan oleh adanya komplikasi pada penyakit diabetes di mana terdapat kerusakan pembuluh darah pada retina sehingga mengalami penumpukan cairan (eksudat) serta pendarahan pada ret... see more

Long Short Term Memory (LSTM) is known as optimized Recurrent Neural Network (RNN) architectures that overcome RNN’s lact about maintaining long period of memories. As part of machine learning networks, LSTM also notable as the right choice for time-serie... see more

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