Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques by Khaled Megahed

Subjects: “…Machine learning…”
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Distinguishing glioblastoma from brain metastasis; a systematic review and meta-analysis on the performance of machine learning by Mohammad Amin Habibi, Reza Omid, Shafaq Asgarzade, Sadaf Derakhshandeh, Ali Soltani Farsani, Zohreh Tajabadi

Subjects: “…Deep learning…”
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A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems by Zijian Jiang, Chaoli Sun, Xiaotong Liu, Hui Shi, Sisi Wang

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Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal by Erica Shrestha, Suyog Poudyal, Anup Ghimire, Shrena Maharjan, Manoj Lamichhane, Sushant Mehan

“…The suitability of both empirical and machine learning (ML) models with limited climatic variables for estimating ET0 in Nepal remains unexplored. …”
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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…This paper presents a novel Deep Learning (DL)-based text summarization approach incorporating the following phases: pre-processing, feature extraction, vectorization, and summarization using a hybrid Cat Swarm Optimization (CSO) and Harris Hawk Optimization (HHO) algorithm. …”
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Dimensions of superiority: How deep reinforcement learning excels in urban drainage system real-time control by Zhenyu Huang, Yiming Wang, Xin Dong

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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In addition, the research conducted can be an opening or preliminary research on the design of an early detection system for diabetic foot complications using deep learning artificial intelligence-based thermography in Indonesia. …”
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Comparing Health Care Financing in Indonesia and Thailand from 1995-2010: What Lessons Could Be Learned? by Darius Erlangga, Lizheng Shi

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Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

Subjects: “…discriminative feature learning…”
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EFL classroom learning environment at a Thai university: What variables matter for low-proficiency students? by Budi Waluyo, Safnil Arsyad

Subjects: “…Classroom learning environment…”
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Deteksi Covid-19 pada Citra Sinar-X Dada Menggunakan Deep Learning yang Efisien by Novanto Yudistira, Agus Wahyu Widodo, Bayu Rahayudi

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Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model by Soran Badawi

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Seeking pedagogical opportunities to engage university students in emergency online learning: The role of online course experiences by Hongbiao Yin

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Evaluating a novel team learning approach for integrating drugs in sports education in preclinical medical training by Samuel Pelobello, Grayson Potter, Daniel K. Rogstad, Andrew J. Mock, Sean M. Wilson

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Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets by Dinesh Chellappan, Harikumar Rajaguru

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Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning by Jian Wang, Chengsong Duan, Qiao Yu, Cheng Yang

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Spatiotemporal variation and influencing factors of phosphorus in Asia’s longest river based on receptor model and machine learning by Gege Cai, Jiamei Zhang, Wanlu Li, Jiejun Zhang, Yun Liu, Shanshan Xi, Guolian Li, Haibin Li, Xing Chen, Fanhao Song, Fazhi Xie

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Intelligent deep federated learning model for enhancing security in internet of things enabled edge computing environment by Nasser Nammas Albogami

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Accelerating biopharmaceutical cell line selection with label-free multimodal nonlinear optical microscopy and machine learning by Jindou Shi, Alexander Ho, Corey E. Snyder, Eric J. Chaney, Janet E. Sorrells, Aneesh Alex, Remben Talaban, Darold R. Spillman, Marina Marjanovic, Minh Doan, Gary Finka, Steve R. Hood, Stephen A. Boppart

“…This integrated optical bioimaging and machine learning approach presents a promising solution to expedite cell line selection process while ensuring identification of high-performing biopharmaceutical cell lines. …”
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Assessing learning, behaviour, and stress level in goats while testing a virtual fencing training protocol by L. Wilms, D. Hamidi, C.H.U. Lüntzel, M. Hamidi, M. Komainda, R. Palme, J. Isselstein, S. Waiblinger, M. Egerbacher

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