Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta, Egypt by Shaimaa A. El-Dabaa, Farouk I. Metwalli, Ali Maher, Amir Ismail

“…In this study, the single attribute (spectral decomposition attribute) highlighted the gas channel spatial distribution using three distinct frequency magnitude values. Subsequently, we employ principal component analysis (PCA) as an attribute selection method, discovering that combining seismic attributes such as sweetness, envelope, spectral magnitude, and spectral voice as input for SOM reflects an effective method to determine facies. …”
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Investigation on the Relationship Between the Vibratory Peening Process Parameters and Almen Intensity by Maxime Paques, Miao Hong Yan, Changeux Benoit, Turenne Sylvain, Badreddine Jawad, Martin Etienne

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Identification of Specific Abnormal Brain Functional Activity and Connectivity in Cancer Pain Patients: A Preliminary Resting-State fMRI Study by Hua Y, Geng Y, Liu S, Xia S, Liu Y, Cheng S, Chen C, Pang C, Zhao Z, Peng B, Dai Y, Ji J, Wu D

“…The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jiansong Ji; Dan Wu, Email jjstcty@wmu.edu.cn; 215066083@qq.comObjective: This study investigates the differences in brain functional activity and connectivity patterns between Cancer Pain (CP) patients and Healthy Controls (HCs) using resting-state functional magnetic resonance imaging (rs-fMRI) to identify potential neuroimaging biomarkers.Methods: This study collected rs-fMRI data from 25 CP patients and 25 hCs, processed the functional MRI images, and calculated metrics such as amplitude of low-frequency fluctuation (ALFF), Regional Homogeneity (ReHo), and FC. …”
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Dynamic damping under introduction of additional couplings and external actions by S. V. Eliseev, A. S. Mironov, Quang Truc Vuong

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Source-Grid Coordinated Planning Considering Network Node Inertia Level Differences Under Coal-Fired Power Unit Retirement by Yutao Xu, Chao Sun, Lu Liu, Houyi Zhang, Wenxia Liu, Zhukui Tan

“…First, a frequency response model based on a multi-machine equivalence approach and a differentiated inertia level model based on a virtual synchronous machine transformation approach for each network node are established, and a node inertia constraint model can be obtained. …”
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EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars by Nils C. Albrecht, Dominik Langer, Daniel Krauss, Robert Richer, Luca Abel, Bjoern M. Eskofier, Nicolas Rohleder, Alexander Koelpin

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Discriminating Types of Volcanic Electrical Activity: Toward an Eruption Detection Algorithm by S. A. Behnke, H. E. Edens, J. Theiler, D. J. Swanson, S. Senay, A. R. Van Eaton, M. Iguchi, D. Miki

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A New Modification Method with Double Spline Curve for the Tooth Surface Design of Spur Gear by Wenjun Fan, Yuansheng Zhou, Xueqing Wang, Jinyuan Tang

“…The manufacturing feasibility of the proposed design is also validated by the real machining and measurement. The results show that the proposed new tooth surface modification method is an advanced and practical technology to design high performance spur gear.…”
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Structure and microwave dielectric characteristics of (Ba,Sr,Ca)HfO3 ceramics by Xi Wang, Yi Han Ding, Xiao Li Zhu, Lei Li, Xiang Ming Chen

“…Progresses in this research field would not only deepen our understanding of mechanism of regulating properties in multi-ion solid solutions, but also boost the developments of closely related fields such as machine learning-assisted design and high-entropy ceramics. …”
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Analysis dynamic characteristics brushless motor of the mechatronic system in conditions of parametric uncertaintyby computer simulation methods by N. A. Malev, O. V. Pogoditsky, O. V. Kozelkov, A. M. Dyuryagin

“…Currently, brushless motors – electric machines with permanent magnets on the rotor and a rotor position sensor controlled by a sinusoidal voltage from frequency converters, are widely used in mechatronic and robotic systems. …”
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From bed to bench and back again: Challenges facing deployment of intracranial pressure data analysis in clinical environments by Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne

“…More recently, techniques such as machine learning are being used to develop increasingly sophisticated models to aid in clinical decision-making tasks such as diagnosis and prediction. …”
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Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition by Haodong Chi, Huiyuan Chen

“…To address the issues of non-stationarity, noise interference, and insufficient discriminative power of traditional fault feature extraction methods in rolling bearing vibration signals, this paper proposes a fault diagnosis method based on multi-scale permutation entropy (MPE) and a multi-strategy improved sparrow search algorithm (MSSA) under local mean decomposition (LMD). …”
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Autonomous modal analysis method for industrial robots considering dynamic spatial sensitivity and excitation randomness by Yongkang Jiao, Xubing Chen, Yili Peng, Xinyong Mao, Qiushuang Guo

“…Firstly, to mitigate the impact of pose changes on modal parameter identification, a method for predicting the sensitivity of natural frequencies based on structural modal shapes is proposed. …”
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Unsupervised and Semi-Supervised Speech Recognition System: A Review by Mazin Al-Zakarya, Yusra Al-Irhaim

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ANALYZING EEG SIGNALS FOR STRESS DETECTION USING RANDOM FOREST ALGORITHM by Fi Imanur Sifaunnufus Ms, Fitra Abdurrachman Bachtiar, Barlian Henryranu Prasetio

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Design of Piezoelectric Ultrasonic Composite Vibration System for Precision Grinding by Weiqing Huang, Kaijie Huang, Qunyou Zhong, Jialun Wu, Dawei An

“…Due to the high hardness and brittleness of sapphire, traditional machining methods are prone to surface scratches and microcracks. …”
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Tropical Cyclone Surface Winds From Aircraft With a Neural Network by Alexander J. DesRosiers, Michael M. Bell, Jennifer C. DeHart, Jonathan L. Vigh, Christopher M. Rozoff, Eric A. Hendricks

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Multisensor Fault Diagnosis of Rolling Bearing with Noisy Unbalanced Data via Intuitionistic Fuzzy Weighted Least Squares Twin Support Higher-Order Tensor Machine by Shengli Dong, Yifang Zhang, Shengzheng Wang

“…Aiming at the limitations of existing multisensor fault diagnosis methods for rolling bearings in real industrial scenarios, this paper proposes an innovative intuitionistic fuzzy weighted least squares twin support higher-order tensor machine (IFW-LSTSHTM) model, which realizes a breakthrough in the noise robustness, adaptability to the working conditions, and the class imbalance processing capability. …”
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Coupling of fatigue crack growth and crack nucleation fatigue approach for non-crystallising rubber under fully relaxing uniaxial loading with multiaxial stress–strain state of 3D... by Tadej Kocjan, Marko Nagode, Jernej Klemenc, Simon Oman

“…As is common in fatigue testing, the tests were performed at variable frequencies depending on the magnitude of the load and the limits of the testing machine. …”
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Optical OTFS waveform PAPR analysis for high order modulation employing CNN, DNN, and AE machine learning algorithms under a variety of channel scenarios by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…Optical orthogonal time–frequency space (OTFS) modulation is a future technique for optical wireless communication with high mobility. …”
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