Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN by Dengyu Xiao, Yixiang Huang, Chengjin Qin, Haotian Shi, Yanming Li

“…To cover those shortcomings, in this paper, two manual feature learning approaches are embedded into a deep learning algorithm, and thus, a novel fault diagnosis framework is proposed for three-phase induction motors with a hybrid feature learning method, which combines empirical statistical parameters, recurrence quantification analysis (RQA) and long short-term memory (LSTM) neural network. …”
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Categorical Cross-Recurrence Quantification Analysis Applied to Communicative Interaction during Ainsworth’s Strange Situation by Danitza Lira-Palma, Karolyn González-Rosales, Ramón D. Castillo, Rosario Spencer, Andrés Fresno

“…The metrics were estimated through a Categorical Cross-Recurrence Quantification Analysis applied to the behaviours of individuals and dyads. …”
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A Differential Biomarker Based on Recurrence Quantification Analysis of EEG Signal and Genetic Algorithm for Epilepsy Diagnosis by Vanithamani Palanisamy, A Ranichitra, Radhamani Ellapparaj

“…Among 12 calculated RQA features from EEGs, the features of longest diagonal line, transitivity and the recurrence rate with 6, 4 and 3 numbers of 100% accuracy in separating normal and epileptic EEGs yielded better results than other recurrence features. …”
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Sliding Recurrence Analysis and its Application of Gear Vibration Signal by Xiao Han, Lv Yong

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Study on incentive mechanism of reward and punishment on work efficiency of PCB welder based on recurrence quantification analysis and electroencephalogram signals by Zhang Qian, Mingyue Guo, Fuwang Wang

“…To address this issue, this study innovatively combines recurrence quantification analysis (RQA) with electroencephalogram (EEG) signals, proposing a dynamic incentive evaluation model based on the analysis of brain chaos characteristics. …”
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Application of Recurrent Neural Networks in Uncertainty Analysis of Sheet Metal Forming by Cruz Daniel, Parreira Tomás, Marques Armando, Prates Pedro, Oliveira Marta, Neto Diogo, Santos Abel, Amaral Rui, Barbosa Manuel, Pereira André

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Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels by Pavan Hiremath, Krishnamurthy D. Ambiger, Shilpa Suresh, Ranjan Kumar Ghadai, Ramakrishna Vikas Sadanand, G. Divya Deepak

“…Images were segmented using the SLIC algorithm into 64 × 64 patches, from which six Gray Level Co-occurrence Matrix (GLCM) features were extracted: contrast, correlation, energy, homogeneity, dissimilarity, and angular second moment (ASM). …”
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Microplastic in the gastrointestinal tract of Bombay duck (Harpadon nehereus) in the Patenga Beach of the Bay of Bengal, Bangladesh: occurrence, abundance, and physicochemical feat... by Sabah tuz Zohora, Shahida Arfine Shimul, Saifuddin Rana, Antar Sarkar, Sui Naing Aye Marma Milky, Khing Khing U Marma, Kaji Mohammad Sirajum Monir, Farhan Azim, Tapos Kumar Chakraborty, Sk. Ahmad Al Nahid

“…The purpose of this study was to determine the presence, occurrence and physicochemical features of MPs in the gastrointestinal tract of Bombay duck (H. nehereus) from the Patenga Sea Beach of the Bay of Bengal, Bangladesh. …”
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Decoding Pain Dynamics: EEG Insights into Neural Responses and Classification via RQA Analysis by Mahsa Tavasoli, Zahra Einalou, Reza Akhondzadeh

“…For this purpose, at the first step phasic pain is produced using coldness, then dynamical features via EEG are analyzed via Recurrence Quantification Analysis (RQA) method and finally Rough neural network classifier has been used for achieving accuracy to detect and categorize pain and non-pain states. …”
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Sweet pepper foliar diseases quantification and identification using an image analysis tool by Vijayanandh Rajamanickam, Adesh Ramsubhag, Jayaraj Jayaraman

“…The steps involved were color space conversions, detection of leaf area by Otsu’s method, and thresholding for foliar diseased area detection and quantification. Gray-Level Co-occurrence Matrix (GLCM) extracted the texture features from the diseased area of leaves. …”
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Robust confinement state classification with uncertainty quantification through ensembled data-driven methods by Yoeri Poels, Cristina Venturini, Alessandro Pau, Olivier Sauter, Vlado Menkovski, the TCV Team, the WPTE Team

“…We propose ensembling data-driven methods on two axes: model formulations and feature sets. The former considers a dynamic formulation based on a recurrent Fourier neural operator-architecture and a static formulation based on gradient-boosted decision trees. …”
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Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical Approach by Mankuzhy Anilkumar Rithwiq, Puthuparambil Anju Abraham, Mohanachandran Nair Sindhu Swapna, Sankaranarayana Iyer Sankararaman

“…The study indicates contrast as the potential sensitive specklegram feature for microplastics detection and quantification.…”
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Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement by Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…Its main ingredient is a recurrent neural network (RNN) with the main architectural components being bidirectional Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) layers. …”
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Application of Artificial Intelligence Models to Predict the Onset or Recurrence of Neovascular Age-Related Macular Degeneration by Francesco Saverio Sorrentino, Marco Zeppieri, Carola Culiersi, Antonio Florido, Katia De Nadai, Ginevra Giovanna Adamo, Marco Pellegrini, Francesco Nasini, Chiara Vivarelli, Marco Mura, Francesco Parmeggiani

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Recurrence-Based Techniques for Data-Driven Fault Diagnosis and Monitoring in Neutral-Point-Clamped Inverters by Lincoln Moura De Oliveira, Menaouar Berrehil El Kattel, Esio Eloi Dos Santos Filho, Juan C. Vasquez, Josep M. Guerrero, Fernando Luiz Marcelo Antunes

“…This paper introduces a novel data-driven condition monitoring (CM) approach for Neutral-Point-Clamped (NPC) inverters based on Recurrence Plot Analysis (RPA) and Recurrence Quantification Analysis (RQA). …”
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University genres and multisemiotic features: accessing specialized knowledge through disciplinarity by Giovanni Parodi

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Bag of Feature-Based Ensemble Subspace KNN Classifier in Muscle Ultrasound Diagnosis of Diabetic Peripheral Neuropathy by Kadhim K. Al-Barazanchi, Ali H. Al-Timemy, Zahid M. Kadhim

“…Muscle ultrasound quantification is a valuable complementary diagnostic tool for diabetic peripheral neuropathy (DPN), enhancing physicians’ diagnostic capabilities. …”
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Transforming aged care in China: insights from a TF-IDF-based data mining analysis of national policies (2018–2022) by Zhihan Liu, Hebin Li, Ziyan Zhang, Lu Ping, Wenxin Gu, Yuan Yao

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Feature Clustering Analysis Using Reference Model towards Rolling Bearing Performance Degradation Assessment by Xiaoxi Ding, Liming Wang, Wenbin Huang, Qingbo He, Yimin Shao

“…Finally, a clustering quantification factor, named as feature clustering indicator (FCI), is calculated to assess distribution evolution and migration of the monitor status as compared to the consistent healthy status. …”
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Enhanced safety assessment on tunnel excavation via refined rock mass parameter identification by Hongwei Huang, Tongjun Yang, Jiayao Chen, Zhongkai Huang, Chen Wu, Jianhong Man

“…This study employs computer vision and deep learning techniques to execute the refined extraction and quantification of rock mass information in tunnel faces. …”
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