Registos relacionados: PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
- PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS’ SYMPTOM DATA AND OVARY ULTRASOUND IMAGES
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- Data mining concepts and techniques /
Assunto: Computer Science and Engineering.
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Assunto: This Thesis Paper of CSE in M.Sc. Program.
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Autor: Suha, Sayma Alam
Autor: Supervised by Lt Col Muhammad Nazrul Islam
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- EXPLORING BATTLE-WINNING FACTORS FOR PREDICTING AND OPTIMIZING BATTLE OUTCOME THROUGH MACHINE LEARNING TECHNIQUE /
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- PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /