Assessing customer-side demand response identification for optimal scheduling considering satisfaction level for microgrids by Xidong Zheng, Feifei Bai, Tao Jin

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Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy by Tao Hai, Ali Basem, As’ad Alizadeh, Pradeep Kumar Singh, Husam Rajab, Chemseddine Maatki, Nidhal Becheikh, Lioua Kolsi, Narinderjit Singh Sawaran Singh, H. Maleki

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Machine learning helps reveal key factors affecting tire wear particulate matter emissions by Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao

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Leasing in Russian agricultural economy: current stage of development by A. A. Kiritsa

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Automated Defect Detection through Flaw Grading in Non-Destructive Testing Digital X-ray Radiography by Bata Hena, Gabriel Ramos, Clemente Ibarra-Castanedo, Xavier Maldague

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Architecture of a recommendation service for choosing training areas at a higher education institution by applicants with the method of collaborative filtering of machine learning by A. M. Prokhorova

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Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045 by Muhammad Naeem, Yongqiang Zhang, Xiaoqiang Tian, Ping Miao, Congcong Li, Zhenwu Xu, Longhao Wang, Faisal Mumtaz, Zixuan Tang, Shaoyang He

Subjects: “…Machine Learning…”
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Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

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Enhanced early prediction of Li-ion battery degradation using multicycle features and an ensemble deep learning model by Meilia Safitri, Teguh Bharata Adji, Adha Imam Cahyadi

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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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Improving catalysts and operating conditions using machine learning in Fischer-Tropsch synthesis of jet fuels (C8-C16) by Parisa Shafiee, Bogdan Dorneanu, Harvey Arellano-Garcia

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Electrogastrogram-based detection of cybersickness with the application of wavelet transformation and machine learning: A case study by Ilija V. Tanasković, Nenad B. Popović, Jaka J. Sodnik, Sašo J. Tomažič, Nadica S. Miljković

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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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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

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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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Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System With Machine Learning and Statistical Models by Stella Pantopoulou, Matthew Weathered, Darius Lisowski, Lefteri H. Tsoukalas, Alexander Heifetz

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Plant Leaf Identification Using Feature Fusion of Wavelet Scattering Network and CNN With PCA Classifier by S. Gowthaman, Abhishek Das

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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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