A dosimetric comparison of non-coplanar volumetric modulated arc therapy and non-coplanar fixed field intensity modulated radiation therapy in hippocampus-avoidance whole-brain rad... by Huaqu Zeng, MinZhi Zhong, Zongyou Chen, Shukui Tang, Zunbei Wen

Subjects: “…simultaneous integrated boost…”
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Machine Learning-Driven Resilient Modulus Prediction for Flexible Pavements Across Mountainous and Other Regions by Rauf Ayesha, Asif Usama, Javed Muhammad Faisal

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An Overview of Hybrid DC–DC Converters: From Seeds to Leaves by Yan Lu, Junwei Huang, Zhiguo Tong, Tingxu Hu, Wen-Liang Zeng, Mo Huang, Xiangyu Mao, Guigang Cai

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Cascade Controller Design for a Single‐Stage Charger to Inspect Distortion Power Factor, and Grid‐Side Voltage Harmonics by Mahdi Maleki, Milad Rahimipour Behbahani, Alireza Jalilian

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Relevant SMS Spam Feature Selection Using Wrapper Approach and XGBoost Algorithm by Diyari Jalal Mussa, Noor Ghazi M. Jameel

Subjects: “…SMS spam, wrapper methods, sequential feature selection, sequential forward selection, sequential backward selection, boosting classifier, extreme gradient boosting, XGBoost.…”
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PARALLEL ALGORITHMS OF RANDOM FORESTS FOR CLASSIFYING VERY LARGE DATASETS by Do Thanh Nghi, Pham Nguyen Khang, Nguyen Van Hoa, Ly Hoang Trong

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Time Effort Prediction Of Agile Software Development Using Machine Learning Techniques by Muchamad Bachram Shidiq, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

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Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments by Assala Bouguerra, Abd Essalam Badoud, Saad Mekhilef, Badreddine Kanouni, Mohit Bajaj, Ievgen Zaitsev

Subjects: “…Boost converter integration…”
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A computational approach for prediction of viscosity of chemical compounds based on molecular structures by Sneha Das, Ram Kishore Roy, Tulshi Bezboruah

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Assessing groundwater level variability in response to climate change: A case study of large plain areas by Haidi Wu, Xueyan Ye, Xinqiang Du, Wuxiang Wang, Hongyan Li, Weihong Dong

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PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

Subjects: “…boosting machine…”
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An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China by Ming CAI, Qingwen ZHOU, Cong YANG, Feng CHEN, Dong WU, Wang LIN, Chengguang ZHANG, Yuanjun ZHANG, Yuxin MIAO

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Impact of Loads and Photovoltaic Uncertainties on Cascaded Failure in Transmission Networks of Future Power Grids by Wasseem Al-Rousan, Rafat Aljarrah, Mazaher Karimi, Firas Obeidat, Qusay Salem

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Out-of-Sample Predictability of the Equity Risk Premium by Daniel de Almeida, Ana-Maria Fuertes, Luiz Koodi Hotta

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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

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Machine learning for predicting severe dengue in Puerto Rico by Zachary J. Madewell, Dania M. Rodriguez, Maile B. Thayer, Vanessa Rivera-Amill, Gabriela Paz-Bailey, Laura E. Adams, Joshua M. Wong

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Early identification of dropouts during the special forces selection program by Ruud J. R. den Hartigh, Rik Huijzer, Frank J. Blaauw, Age de Wit, Peter de Jonge

Subjects: “…Gradient boosting…”
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Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction by Waqar A. Sulaiman, Charithea Stylianides, Andria Nikolaou, Andria Nikolaou, Zinonas Antoniou, Ioannis Constantinou, Lakis Palazis, Anna Vavlitou, Theodoros Kyprianou, Theodoros Kyprianou, Efthyvoulos Kyriacou, Antonis Kakas, Antonis Kakas, Marios S. Pattichis, Andreas S. Panayides, Constantinos S. Pattichis, Constantinos S. Pattichis

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Development and validation of a novel AI-derived index for predicting COPD medical costs in clinical practice by Guan-Heng Liu, Chin-Ling Li, Chih-Yuan Yang, Shih-Feng Liu

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Leveraging machine learning to predict residential location choice: A comparative analysis by Vahid Noferesti, Hamid Mirzahossein

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