Determination of seed sowing quality by dotted-nesting method using video file processing technology by Strygin Sergei, Konkina Viktoriya, Korobova Irina, Rybachok Maksim, Pustovarov Nikita

“…The research work presents a method for assessing the qualitative performance of a sowing machine using the dotted-nest sowing method. …”
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AN EMPIRICAL ANALYSIS OF TRADITIONAL RECOGNITION METHODS USING EXAMPLES OF IDENTIFYING WORDS SPOKEN BY NATIVE SPEAKERS by Elchin Ismailov

“…In the proposed approach, the sound signal is considered as a onedimensional representation of sound wave oscillations with a certain sampling frequency. To implement the task, classical DTW and DDTW methods, as well as methods based on the Fourier transform, discrete and continuous wavelet transforms are used. …”
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Machine Learning Modeling for Building Energy Performance Prediction Based on Simulation Data: A Systematic Review of the Processes, Performances, and Correlation of Process-Relate... by Damla Kömürcü, Ecem Edis

“…Regarding these steps, the frequency of the methods used, strategies followed against the limitations, common sources of concerns, and intertwined workflows are analyzed with their effects on prediction performance in terms of accuracy. …”
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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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Remaining useful life prediction method of centrifugal pump rolling bearings based on digital twins by ShengWen Zhou, Li Zhang, Xiaoming Yang, Ruiping Luo, BaiGang Du, Wenhui Zeng

“…To minimize the deviation between simulated and measured data, we introduce a finite element model correction method using a stacked autoencoder–long short-term memory (SAE–LSTM) network. …”
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Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture by Syed Asad Imam, Meng Hee Lim, Ahmed Mohammed Abdelrhman, Iftikhar Ahmad, Mohd Salman Leong

“…This represents a significant enhancement over existing traditional methods, which achieved 49.81%–86.75% accuracy, and also shows appreciable improvement compared with established artificial neural networks, which typically range from 88.43% to 90%. …”
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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

“…Normalized ionic radii and the τf values of the end members were selected as independent variables, and τf was calculated by using multiple linear regression method. For Ba1–xSrxHfO3 and Sr1–yCayHfO3 with orthorhombic structures, the root mean square error between the calculated and measured τf was only 6.8 × 10−6 °C−1. …”
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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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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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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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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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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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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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Research on Bolt Loosening Mechanism Under Sine-on-Random Coupling Vibration Excitation by Jiangong Du, Yuanying Qiu, Jing Li

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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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Synthetic GPR datasets to evaluate hybridization inverse approach for pavement tack coat characterization—Geometrical and physical parametric studyDataverse by Grégory Andreoli, Amine Ihamouten, Xavier Dérobert

“…The use of non-destructive testing (NDT) methods, such as electromagnetic wave propagation combined with a hybrid data processing approach—machine learning and Full-Waveform Inversion—has recently demonstrated its effectiveness [1]. …”
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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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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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