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1241 |
Predicting the daily closing price of selected shares on the Dhaka Stock Exchange using machine learning techniques
Enthalten in SN business & economics Bd. 1, 24.3.2021, Nr. 4, date:4.2021: 1-16
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1242 |
Predicting the efficiency of bare silica-based nano-fluid flooding in sandstone reservoirs for enhanced oil recovery through machine learning techniques using experimental data
Enthalten in Applied nanoscience Bd. 12, 1.7.2022, Nr. 8, date:8.2022: 2367-2377
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1243 |
Predicting the impact of internet usage on students’ academic performance using machine learning techniques in Bangladesh perspective
Enthalten in Social network analysis and mining Bd. 14, 21.3.2024, Nr. 1, date:12.2024: 1-41
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1244 |
Predicting the level of autism and improvement rate from assessment dataset using machine learning techniques
Enthalten in International journal of information technology Bd. 15, 6.3.2023, Nr. 3, date:3.2023: 1647-1652
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1245 |
Predicting the magnitude of injection-induced earthquakes using machine learning techniques
Enthalten in Natural hazards Bd. 118, 23.5.2023, Nr. 1, date:8.2023: 545-570
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1246 |
Predicting the value of football players: machine learning techniques and sensitivity analysis based on FIFA and real-world statistical datasets
Enthalten in Applied intelligence Bd. 55, 4.1.2025, Nr. 4, date:2.2025: 1-26
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1247 |
Predicting thermal conductivity of granite subjected to high temperature using machine learning techniques
Enthalten in Environmental earth sciences Bd. 84, 15.4.2025, Nr. 8, date:4.2025: 1-18
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1248 |
Predicting water quality index using machine learning techniques: a case study of river Ganga in Haridwar, India
Enthalten in Earth science informatics Bd. 18, 9.4.2025, Nr. 2, date:6.2025: 1-20
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1249 |
Prediction and Control of Coke Plant Wastewater Quality using Machine Learning Techniques
Enthalten in Coke and chemistry Bd. 63, 27.4.2020, Nr. 1, date:1.2020: 47-56
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1250 |
Prediction models for early diagnosis of actinomycotic osteomyelitis of the jaw using machine learning techniques: a preliminary study
Enthalten in BMC oral health Bd. 22, 6.5.2022, Nr. 1, date:12.2022: 1-9
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