Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images by Xianyu Guo, Junjun Yin, Jian Yang

“…A stable and robust inductive transfer learning method, i.e. the Transfer Bagging-based Ensemble Learning (TBEL) algorithm, is proposed. …”
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A New Receiver Design for Biomedical Magnetic Induction Tomography with a Deep Learning Method by Hofmann Anna, Schledewitz Tatiana, Rueter Dirk, Sauer Andreas

Subjects: “…magnetic induction tomography…”
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Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

Subjects: “…three-phase induction motor…”
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Inductive Learning in The Digital Era : Assessing the Effectiveness of HTML 5 Package (H5P) Based Media on Learning Motivation and Responsibility by Sudarmawanto Sudarmawanto, Sulis Janu Hartati, Sucipto Sucipto

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AI-BASED FIELD-ORIENTED CONTROL FOR INDUCTION MOTORS by Elmehdi Benmalek, Marouane Rayyam, Ayoub Gege, Omar Ennasiri, Adil Ezzaidi

Subjects: “…induction motor…”
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RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning by Chenglu Li, Wanli Xing, Yukyeong Song, Bailing Lyu

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Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management by Ming Chen, Dingyu Zhang

Subjects: “…Post-induction hypotension…”
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Picture Word Inductive Model to Improve the Ability of the Procedure Writing of MTs Students by Nuning

Subjects: “…Learning Outcomes, Procedure Text, Picture Word Inductive Model…”
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Hilbert-Huang Transform and machine learning based electromechanical analysis of induction machine under power quality disturbances by V. Indragandhi, R. Senthil Kumar, R. Saranya

Subjects: “…Machine learning…”
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Predicting Remaining Useful Life of Induction Motor Bearings from Motor Current Signatures Using Machine Learning by Nurul Zahirah Zulkifli, Bhukya Ramadevi, Kishore Bingi, Rosdiazli Ibrahim, Madiah Omar

“…Therefore, this research develops a predictive maintenance framework by integrating motor current signature analysis with machine learning techniques to estimate the remaining useful life (RUL) of induction motor bearings. …”
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Adaptive Self-Learning Framework for Resilient Vehicle Classification Through the Integration of Inductive Loops and LiDAR Sensors by Yiqiao Li, Andre Y. C. Tok, Stephen G. Ritchie

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Predicting vaginal delivery after labor induction using machine learning: Development of a multivariable prediction model by Iolanda Ferreira, Joana Simões, João Correia, Ana Luísa Areia

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Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform by Jan Benedict Spannenkrebs, Aron Eiermann, Thomas Zoll, Silke Hackenschmidt, Johannes Kabisch, Johannes Kabisch, Johannes Kabisch

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Utilization of machine learning to predict antibiotic resistant event outcomes in acute myeloid leukemia patients undergoing induction chemotherapy by Stephanie McMahon, Samantha Franklin, Jessica Galloway-Peña

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Magneto Inductive (MI) Channel Variables Prediction Through Machine Learning Linear Regression Method, for Underwater and Underground WSNs by Aman Muhammad, Fuzhong Li, Syed Agha Hassnain Mohsan, Zahid Ullah Khan, Waqar Khan, Sajid Ullah Khan, Ziqi Han, Faheem Khan

Subjects: “…Magneto inductive communication…”
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Individuals with methamphetamine use disorder show reduced directed exploration and learning rates independent of an aversive interoceptive state induction by Carter M. Goldman, Toru Takahashi, Claire A. Lavalley, Ning Li, Samuel M. Taylor, Anne E. Chuning, Rowan Hodson, Jennifer L. Stewart, Robert C. Wilson, Sahib S. Khalsa, Martin P. Paulus, Ryan Smith

“…Compared to HCs, the MUD group exhibited less directed exploration and slower learning rates, but these differences were not affected by the aversive state induction. …”
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An Inductive Logical Model with Exceptional Information for Error Detection and Correction in Large Knowledge Bases by Yan Wu, Xiao Lin, Haojie Lian, Zili Zhang

Subjects: “…rule learning…”
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Does the PBL-STEM model improve students' deductive, inductive, and reasoning skills in biology? by Eka Riana Widiyanti, Slamet Suyanto

“…The result of 0.00 < 0.05 means that the implementation of the STEM-based PBL learning model is effective in improving the deduction, induction, and consideration skills of grade X high school students on Environmental Pollution material. …”
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MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic by Eyad Algahtani

Subjects: “…Machine learning…”
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Bearing Fault Detection and Classification Based on Temporal Convolutions and LSTM Network in Induction Machine by Mohammad Hoseintabar Marzebali, Saeed Hasani Borzadaran, Hoda Mashayekhi, Valiollah Mashayekhi

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