Leveraging machine learning and open accessed remote sensing data for precise rainfall forecasting by Bambang Kun Cahyono, Muhammad Hidayatul Ummah, Ruli Andaru, Neil Andika, Adjie Pamungkas, Hepi Hapsari Handayani, Paramita Atmodiwirjo, Rory Nathan

“…Further, data processing was performed by means of the Google Earth Engine (GEE) platform. …”
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Assessing excavatability in varied rockmass conditions using real-time data and machine learning technique by Shafi Muhammad Pathan, Abdul Ghani Pathan, Muhammad Saad Memon

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BIELOMATIC MACHINE PRODUCTIVITY ANALYSIS USING OVERALL EQUIPMENT EFFECTIVENESS (OEE) METHOD: CASE STUDY by ari andriyas puji

“…So the purpose of this research is to measure the productivity level of a bielomatic machine by using the Overall Equipment Effectiveness (OEE) method and to minimize the Six Big Losses which are the cause of the decline in engine performance. …”
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Probabilistic Analysis of the Reliability Performance for Power Transformers in Egypt by Ahmed Adel EL-Bassiouny, Mohamed EL-Shimy, Rizk Hamouda

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Prediction of Reservoir Flow Capacity in Sandstone Formations: A Comparative Analysis of Machine Learning Models by Micheal Ayodeji Ogundero, Taiwo Adelakin, Kehinde Orolu, Isaac Femi Johnson, Theophilus Akinfenwa Fashanu, Kingsley Abhulimen

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Effect of cooling temperature on machinability and hole quality in cryogenic drilling of CFRP/Ti stacks by Shunuan Liu, Zhijian Meng, Shiming Liang, Tao Wang, Hao Niu, Bin Luo, Kaifu Zhang

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Monitoring water quality parameters using multi-source data-driven machine learning models by Yubo Zhao, Mo Chen, Jinyu He, Yanping Ma

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STRESS, EQUIVALENT STRAIN AND DEFORMATION FOR MACHINING OPERATION UTILIZING EXPLICIT DYNAMIC ANALYSIS FOR VARIOUS MATERIALS by Anand Valiavalappil

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Predicting Flight Delays with Machine Learning: A Case Study from Saudi Arabian Airlines by Meshal Alfarhood, Rakan Alotaibi, Bassam Abdulrahim, Ahmad Einieh, Mohammed Almousa, Abdulrhman Alkhanifer

“…To achieve this, we collected flight information from September 2017 to April 2023, along with weather data, and performed extensive feature engineering to extract informative features to train our model. …”
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Machine Learning-Based Mooring Failure Detection for FPSOs: A Two-Step ANN Approach by Omar Jebari, Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, Moohyun Kim

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Predictive Modeling of Credit Card Rejection Using Machine Learning Algorithms: A Comparative Study by Shengyu Gu

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A Review of Segmented Stator and Rotor Designs in AC Electric Machines: Opportunities and Challenges by Bhuvan Khoshoo, Anmol Aggarwal, Shanelle Foster

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Prediction of room temperature in Trombe solar wall systems using machine learning algorithms by Seyed Hossein Hashemi, Zahra Besharati, Seyed Abdolrasoul Hashemi, Seyed Ali Hashemi, Aziz Babapoor

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Cache Contention Aware Virtual Machine Placement and Mitigation Using Adaptive ABC Algorithm by Bharati Ainapure, Nishu Gupta, Mohammad Derawi

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Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints by Xiumin Liu, Xinyue Zhang, Ye Sheng, Zihe Zhang, Pan Xiong, Xuehai Ju, Junwu Zhu, Caichao Ye

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Improved Neutral Density Predictions Through Machine Learning Enabled Exospheric Temperature Model by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska

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Classification of psychiatry clinical notes by diagnosis: a deep learning and machine learning approach by Sergio Rubio-Martín, María Teresa García-Ordás, Antonio Serrano-García, Clara Margarita Franch-Pato, Arturo Crespo-Álvaro, José Alberto Benítez-Andrades

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Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine by Mohamed Amine Fnaiech, Mohamed Trabelsi, Ayman Al-Khazraji, Maamar Taleb, Hani Vahedi

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Machine-Learning-Driven Identification of Electrical Phases in Low-Sampling-Rate Consumer Data by Dilan C. Hangawatta, Ameen Gargoom, Abbas Z. Kouzani

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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

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