AI-driven thermography-based fault diagnosis in single-phase induction motor by Muhammad Atif, Shoaib Azmat, Faisal Khan, Fahad R. Albogamy, Adam Khan

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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…To address these challenges, this research explores the application of machine learning and wavelet transform techniques for improving the accuracy and efficiency of digital signal processing in high-frequency induction logging. …”
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Multiclass Incremental Learning for Fault Diagnosis in Induction Motors Using Fine-Tuning with a Memory of Exemplars and Nearest Centroid Classifier by Magdiel Jiménez-Guarneros, Jonas Grande-Barreto, Jose de Jesus Rangel-Magdaleno

“…This article presents a multiclass incremental learning (MCIL) framework based on 1D convolutional neural network (CNN) for fault detection in induction motors. …”
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An inductive learning-based method for predicting drug-gene interactions using a multi-relational drug-disease-gene graph by Jian He, Yanling Wu, Linxi Yuan, Jiangguo Qiu, Menglong Li, Xuemei Pu, Yanzhi Guo

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ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms by Umm-e-Hani Tayyab, Faiza Babar Khan, Asifullah Khan, Muhammad Hanif Durad, Farrukh Aslam Khan, Aftab Ali

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Investigation of the Effects of Unbalanced Voltages on the Performance of a Three-Phase Squirrel Cage Induction Motor using Finite Element Method by Ali Ebadi, Mohammad Mirzaie, Sayyed Asghar Gholamian

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Ongoing Dynamics of Peak Alpha Frequency Characterize Hypnotic Induction in Highly Hypnotic-Susceptible Individuals by Mathieu Landry, Jason da Silva Castanheira, Floriane Rousseaux, Pierre Rainville, David Ogez, Karim Jerbi

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Effects of repetitive transcranial magnetic stimulation on learning and memory cognitive function in rats with vascular cognitive impairment and its neural induction mechanism by Jiati Wang, Huan Gao

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ABBA+BraiAn, an integrated suite for whole-brain mapping, reveals brain-wide differences in immediate-early genes induction upon learning by Nicolas Chiaruttini, Carlo Castoldi, Linda Maria Requie, Carmen Camarena-Delgado, Beatrice Dal Bianco, Johannes Gräff, Arne Seitz, Bianca A. Silva

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SCGAN-enhanced surrogate modeling for FEM analysis of induction motors: A practical use case by Unai Salaberria-Flaño, Antonio Nappa, Arkaitz Artetxe, Gurutz Artetxe, Iñaki Inza

“…The study, supported by a systematic comparison of different low-fidelity information extraction steps and a detailed feature relevance analysis, represents a step forward in the field of surrogate modeling for induction motor characterization. It also clearly demonstrates the potential of multi-fidelity learning to overcome the computational-cost barriers of complex engineering systems; notably, SCGAN's prediction step executes orders of magnitude faster than traditional FEM, paving the way for real-time deployment.…”
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Hybridize Machine Learning Methods and Optimization Techniques to Analyze and Repair Welding Defects via Digital Twin of Jidoka Simulator by Ahmed M. Abed, Tamer S. Gaafar

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Quantifying Shape and Texture Biases for Enhancing Transfer Learning in Convolutional Neural Networks by Akinori Iwata, Masahiro Okuda

“…Neural networks have inductive biases owing to the assumptions associated with the selected learning algorithm, datasets, and network structure. …”
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Inductive Power Transfer Coil Misalignment Perception and Correction for Wirelessly Recharging Underground Sensors by John Sanchez, Juan Arteaga, Cody Zesiger, Paul Mitcheson, Darrin Young, Shad Roundy

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A Comparative Study of Sulamus Shibyan and Jurumiyah as Nahwu Book in Enhancing the Learning of Qawa'id by Nurul Fadlilah, Guntur Cahaya Kesuma, Yeni Lailatul Wahidah, Rahmad Khusen, Muhammad Zaini Zakir Rasyid

“…The findings revealed that Sulamus Shibyan applies an inductive approach while Jurumiyah applies a deductive method. …”
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AI driven fault diagnosis approach for stator turn to turn faults in induction motors by Tamer A. Kawady, Wagdy M. Khater, Hagar G. Abu-Faty, Mohamed A. Izzularab, Mohamed E. Ibrahim

Subjects: “…Induction motor…”
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The Effect of Training Based on the SCORPIO Model on the Knowledge and Skills of Airway Management Peri-Anesthesia Induction in Undergraduate of Nursing Anesthesiology Students by Masoumeh Albooghobeish, Zinat Mohammadi, Ali Khalafi, Morteza Habibi moghadam

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An Approach to Finding a Robust Deep Learning Model by Alexey Boldyrev, Fedor Ratnikov, Andrey Shevelev

Subjects: “…Machine learning…”
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Research on a dynamic self-learning efficient intrusion detection model by YANG Wu1, ZHANG Bing2, ZHOU Yuan2, WANG Wei1

Subjects: “…network security;intrusion detection;anomaly detection;inductive reasoning;self-learning algorithm…”
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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

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Multi-Signal Induction Motor Broken Rotor Bar Detection Based on Merged Convolutional Neural Network by Tianyi Wang, Shiguang Wen, Shaotong Sheng, Huimin Ma

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