Water quality experiments are difficult, costly, and time-consuming. Therefore, different
modeling methods can be used as an alternative for these experiments. To achieve the …

The artificial neural network (ANN), as a data-driven approach, is a powerful tool for
forecasting effluent quality of wastewater treatment. However, selecting appropriate input …

The paper pursues a twofold goal. The first goal refers to the identification of university
students' needs regarding such modifications to English language courses that would …

Recency, Frequency, and Monetary (RFM) are behavior-based models used to predict
customer behavior based on shopping activities. RFM model determines a customer's value …

There are some problems in conventional seismic facies analysis methods, such as easily
plunge into local optimal solution, low sensitivity and without using prior knowledge. To …

The diagnosis of hypertensive retinopathy (CAD-RH) can be made by observing the
tortuosity of the retinal vessels. Tortuosity is a feature that is able to show the characteristics …

Steganography is an approach used to transfer secret information by updating data carrying
medium ie video, audio, text file in an imperceptible manner and is a manner of masking …

The diagnosis of hypertensive retinopathy (CAD-RH) can be made by observing the
tortuosity of the retinal vessels. Tortuosity is a feature that is able to show the characteristics …

Trong bài toán dự báo dữ liệu chuỗi thời gian tài chính, kỹ thuật phân cụm SOM được sử
dụng để phân cụm dữ liệu đầu vào trước khi đưa vào huấn luyện các mô hình dự báo …

Luận án được thực hiện tại Khoa Công nghệ thông tin–Trường Đại học khoa học–Đại học
Huế, dưới sự hướng dẫn của PGS. TS. Lê Mạnh Thạnh. Tôi xin bày tỏ lòng biết ơn sâu sắc …