Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systemszenodo by Abdelkabir Bacha, Ramzi El Idrissi, Khalid Janati Idrissi, Fatima Lmai

“…Despite the increasing significance of AI-driven FDD techniques, the domain suffers from a lack of publicly accessible, real-world datasets for algorithm development and evaluation. Our contribution fills this gap by offering a comprehensive, multi-sensor dataset obtained from a bespoke experimental apparatus. …”
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The Cooperation Partner Selection of Private Sector under Public-Private-Partnership Projects: An Improved Approach under Group Decision-Making Based on FRS, SAW, and Integrated Ob... by Jiawu Gan, Yingying Zhang, Yanan Hu, Sen Liu

“…Finally, an example is given to demonstrate the rationality of the algorithm.…”
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Fault Diagnosis of Rotating Machinery Based on One-Dimensional Deep Residual Shrinkage Network with a Wide Convolution Layer by Jingli Yang, Tianyu Gao, Shouda Jiang, Shijie Li, Qing Tang

“…Moreover, an adaptive batch normalization algorithm (AdaBN) is introduced into the diagnosis model to enhance the adaptability to noise. …”
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Image Encryption Using Lorenz Chaotic System by Daniah Abul Qahar Shakir, Ahmad Salim, Seddiq Q. Abd Al-Rahman, Ali Makki Sagheer

“… In the age of the Internet, a lot of images are circulated among users, and some of these images contain financial or personal information that requires confidentiality. Encryption algorithms existed for a long time, and the data used was focused on the text data, while the multimedia data was neglected for a long time. …”
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A novel droop coefficient to realize rapid SOC balance for distributed energy storage systems by Yuanxi Liu, Ling Yang, Maohua Wei

“…Additionally, a dynamic consistency algorithm is employed to gather average information about the distributed energy storage system, reducing communication line pressure as local nodes only exchange information with neighboring nodes. …”
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Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing System by Tian Tian, Qiang Huang, Jinhua Lv, Mo Zhou, Jian Tang

“…In addition, we develop a modified strength Pareto evolutionary algorithm II (MSPEA2) to optimize the design parameters with multiple objectives. …”
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Fault Diagnosis Method for Rotating Machinery Based on Hierarchical Amplitude-Aware Permutation Entropy and Pairwise Feature Proximity by Ling Shu, Jinxing Shen, Xiaoming Liu

“…Combined with the pairwise feature proximity (PWFP) feature selection method and gray wolf algorithm optimization support vector machine (GWO-SVM), a new intelligent fault diagnosis method for rotating machinery is proposed. …”
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HairSplitter: haplotype assembly from long, noisy reads by Faure, Roland, Lavenier, Dominique, Flot, Jean-François

“…The method uses a custom variant-calling process to operate with erroneous long reads and introduces a new read binning algorithm to recover an a priori unknown number of strains. …”
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Improving Retrieval Performance of Case Based Reasoning Systems by Fuzzy Clustering by F. Saadi, Baghdad Atmani, F. Henni

“…The results of the experimentations show that the integration of the FCM algorithm in the retrieval step reduces the search space (the large volume of information), resolves the problem of the vagueness of medical information, speeds up the calculation and response time, and increases the search efficiency, which further improves the performance of the retrieval step and, consequently, the CBR system.…”
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Operational Monitoring of Trace Gases over the Mediterranean Sea by Giuseppe Grieco, Guido Masiello, Carmine Serio

“…The retrieval algorithm for trace gases exploits the concept of partially scanned interferogram technique, which is a tool mostly suited for Fourier transform spectrometers in the infrared. …”
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Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process by Arash Rasaizadi, Seyedehsan Seyedabrishami, Mohammad Saniee Abadeh

“…Since the temporal variation of rural road traffic is irregular, the performance of applied algorithms varies among different time intervals. To find the most precise prediction for each time interval for segments, several ensemble methods, including voting methods and ordinal logit (OL) model, are utilized to ensemble predictions of four machine learning algorithms. …”
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Identification of aquifer heterogeneity through inverse methods by Ackerer, Philippe, Carrera, Jesus, Delay, Frédérick

“…Inverse methods require an objective function to express the goodness of fit of the chosen model, a parameterization to describe the spatial distribution of model parameters, and a minimization algorithm. The resulting inverse problem, which consists in seeking model parameters’ values that render model outputs close to the observations, is usually unstable. …”
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A numerical framework for simulating fluid-structure interaction phenomena by A. De Rosis, S. de Miranda, C. Burrafato, F. Ubertini

“…These ingredients are combined through a partitioned staggered explicit strategy, according to an efficient and accurate algorithm recently developed by the authors. The effectiveness of the proposed methodology is tested against two different cases. …”
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Climate Predictions: The Chaos and Complexity in Climate Models by D. T. Mihailović, G. Mimić, I. Arsenić

“…The complexities were obtained with the algorithm for calculating the Kolmogorov complexity.…”
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Use of functional magnetic resonance imaging in patients with irritable bowel syndrome and functional dyspepsia by Katarzyna Skrobisz, Grażyna Piotrowicz, Adrianna Drozdowska, Karolina Markiet, Agnieszka Sabisz, Patrycja Naumczyk, Grażyna Rydzewska, Edyta Szurowska

“…Nowadays, advanced imaging techniques such as fMRI are more frequently used and are acknowledged among both clinicians and radiologists in the diagnostic algorithm of digestive tract diseases. Functional dyspepsia is a condition in which neuroimaging allows for analysis of dysfunctions within the brain-gut axis (BGA) engaged in processing of visceral discomfort and pain. …”
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Endoatmospheric Ascent Optimal Guidance with Analytical Nonlinear Trajectory Prediction by Shilei Zhao, Wanchun Chen, Liang Yang

“…In this paper, an endoatmospheric ascent optimal guidance law with terminal constraint is proposed, which is under the framework of predictor-corrector algorithm. Firstly, a precise analytical nonlinear trajectory prediction with arbitrary Angle of Attack (AOA) profile is derived. …”
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Optimizing Indonesian-Sundanese Bilingual Translation with Adam-Based Neural Machine Translation by Anita Qotrun Nada, Aji Prasetya Wibawa, Dhea Fanny Putri Syarifa, Erliana Fajarwati, Fadia Irsania Putri

“…The text translation here was conducted in different epochs to optimize the process, followed by the Adam optimization algorithm. Testing the Adam optimizer with different epoch settings yields a BLEU score for Indonesian to Sundanese translations of 0.991785, higher than the performance of the None optimizer. …”
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Mechanical Analysis and Kinematic Simulation of Reversing Mechanism for Gear Guide-rod Pumping Unit by Jun Shao, Guodong Hu, Wei Yang, Dewei Wang

“…Then，based on the contact impact algorithm，the joint dynamics simulation of the reversing mechanism is carried out by using Solidworks and Adams. …”
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An Enhancement Deep Feature Extraction Method for Bearing Fault Diagnosis Based on Kernel Function and Autoencoder by Fengtao Wang, Bosen Dun, Xiaofei Liu, Yuhang Xue, Hongkun Li, Qingkai Han

“…Finally, softmax is adopted as the classifier to accurately identify different bearing faults, and error backpropagation algorithm is used to fine-tune the model parameters. …”
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Combing Instrumental Variable and Variance Matching for Aircraft Flutter Model Parameters Identification by Hong Jianwang, Ricardo A. Ramirez-Mendoza, Jorge de J. Lozoya Santos

“…Several simulation experiments have been performed to demonstrate the effectiveness of the algorithm proposed in this paper.…”
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