Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java by Hoger Khayrolla Omar, Alaa Khalil Jumaa

Subjects: “…Keywords: Big data, Data analysis, Apache Spark, Hadoop HDFS, Machine learning, Spark MLlib, Resilient Distributed Datasets(RDD).…”
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Auditory steady state response can predict declining EF in healthy elderly individuals by Xiaopeng Mao, Xiaopeng Mao, Nelly Shenton, Sadasivan Puthusserypady, Martin Johannes Lauritzen, Krisztina Benedek

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An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

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A Multispectral Automated Transfer Technique (MATT) for Machine-Driven Image Labeling Utilizing the Segment Anything Model (SAM) by James E. Gallagher, Aryav Gogia, Edward J. Oughton

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Load Forecasting in Electrical Grids: Analysis of Methods and their Trends by Kyryk V.V., Shatalov Y.O.

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Hierarchizing multi-scale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese or... by Caumette, Cécile, Diatta, Paterne, Piry, Sylvain, Chapuis, Marie-Pierre, Faye, Emile, Sigrist, Fabio, Martin, Olivier, Papaïx, Julien, Brévault, Thierry, Berthier, Karine

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Performance evaluation of brain state discrimination using near-infrared spectroscopy for brain-computer interface: an exploratory case study by Akira Masuo, Takuto Sakuma, Shohei Kato

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Research progress of HIF-1a on immunotherapy outcomes in immune vascular microenvironment by Shaoyan Shi, Xuehai Ou, Chao Liu, Hao Wen, Jiang Ke

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Predicting Iran Cooperative Development Bank's Profit/Loss: Two-stage Collective Learning by Seyed Bagher Fattahi, Seyed Mozafar Mirbargkar, Ebrahim Chirani, Mohammadreza Vatanparast

Subjects: “…two-stage collective machine learning…”
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Defect Detection in Concrete Structures Based on Characteristics of Hammer Reaction Force and Apparent Stiffness of Concrete by Koki Shoda, Jun Younes Louhi Kasahara, Qi An, Atsushi Yamashita

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Portable E-nose for Enhanced Pizza Toppings Recognition using MQ Gas Sensors by Aziz Amari, Rachida Belloute, Mohammed Diouri

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Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Hafeez Anwar, Tariq Ali

Subjects: “…machine learning…”
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Developing an effective approach to assess pavement condition for high friction surface treatment (HFST) installation by Alireza Roshan, Magdy Abdelrahman

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Assessment of economic efficiency of artificial intelligence application in construction: the choice of the optimal method by D. N. Shishkina

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Enhancing RF Fingerprint Generation in Power Amplifiers: Unequally Spaced Multitone Design Approaches and Considerations by Chengyu Fan, Junting Deng, Ethan Chen, Vanessa Chen

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UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu by Kifayat Ullah, Muhammad Aslam, Muhammad Usman Ghani Khan, Faten S. Alamri, Amjad Rehman Khan

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Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance by Kun Sun, Yuting Zhang, Sheng Li, Zhaohe Gao, Xue Cao, Ziling Peng, Pengyan Huang, Abd El-Moez A. Mohamed, Zhigang Zheng, Minki Jeong, Yu-Lung Chiu, Yang Lu, Moataz M. Attallah

Subjects: “…Machine learning…”
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A Massively Parallel SMC Sampler for Decision Trees by Efthyvoulos Drousiotis, Alessandro Varsi, Alexander M. Phillips, Simon Maskell, Paul G. Spirakis

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Predictive modeling of ALS progression: an XGBoost approach using clinical features by Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih, Hussain Alsalman

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PREDICTING THE LEARNING PATH TO LEARNER’S OPTIMUM COMPREHENSION by Ifeanyi Isaiah Achi, Chukwuemeka Odi Agwu, Christopher Chizoba Nnamene, Sylvester C. Aniobi, Ifebude Barnabas C., Kelechi Christian Oketa, Godson Kenechukwu Ezeh, John Otozi Ugah

Subjects: “…Machine Learning…”
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