Triple Channel Feature Fusion Few-Shot Intent Recognition With Orthogonality Constrained Multi-Head Attention by Di Wu, Yuying Zheng, Peng Cheng

“…At the same time, the context and score vector regularization terms are added to reduce the position and representation redundancy between heads and enhance the diversity. …”
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Design of a robot system for improved stress classification using time–frequency domain feature extraction based on electrocardiogram by Malhotra Vikas, Saini Gurpreet Singh, Malhotra Sumit, Popli Renu

“…Further, the support vector machine classifier was used to classify the stress level (low, medium, and high) of the extracted signal. …”
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Robust MPS-INS UKF Integration and SIR-Based Hyperparameter Estimation in a 3D Flight Environment by Juyoung Seo, Dongha Kwon, Byungjin Lee, Sangkyung Sung

“…The study addresses significant challenges such as the magnetic vector distortions and model uncertainties caused by motor noise, which degrade attitude estimation and limit the effectiveness of traditional Extended Kalman Filter (EKF)-based fusion methods. …”
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An improved experimental-theoretical method for calculating the particle trajectory in a pneumatic separating channel by A. I. Burkov, A. L. Glushkov, V. A. Lazykm

“…At the second stage, on the basis of particular values of velocity vectors in the rectangular centers the systems of math equations are made. …”
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Causes and Factors of Changes in Consumer Behavior by Larisa Moskovceva, Svetlana Yazykova, Irina Shaposhnikova, Alina Orlova

“…The research is relied on information from open sources, processed with the help of standard research methods and economic analysis. …”
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Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification by Md Takbir Alam, Md Ashibul Islam Khan, Nahian Nakiba Dola, Tahia Tazin, Mohammad Monirujjaman Khan, Amani Abdulrahman Albraikan, Faris A. Almalki

“…For classification, random forest (RF), logistic regression, decision tree (DT), support vector classifier, voting classifier, and K-nearest neighbor were utilized. …”
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A Post-Quantum Public-Key Signcryption Scheme over Scalar Integers Based on a Modified LWE Structure by Mostefa Kara, Mohammad Hammoudeh, Abdullah Alamri, Sultan Alamri

“…Although a few signcryption schemes exist that combine these operations into a single, more efficient process, they typically rely on complex vector, matrix, or polynomial-based structures. …”
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A New Grey Box Approach for Friction Modelling of Machine Tool Drives by Adrian Karl Rüppel, Markus Meurer, Thomas Bergs

“…Measurement of the process force in milling is usually conducted by using piezo-electric dynamometers which are costly and reduce the stiffness of the system. …”
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Development of a Hybrid Method to Predict the Slope Surface Deformation Utilizing the Time Series and GA-Elman Models by Gang Wang, Zheng Fang, Jiren Xie, Na Du

“…The results revealed that the proposed method highlighted reliability and could be used with higher accuracy to forecast the slope surface deformation in the process of landslides.…”
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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems by Ripal Ranpara, Osamah Alsalman, Om Prakash Kumar, Shobhit K. Patel

“…Furthermore, the framework improves computational efficiency, reducing processing time by 15% and making it highly effective for resource-constrained environments such as IoT and edge computing. …”
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The abnormal audiovisual conflict in Parkinson’s disease patients is manifested in perception rather than response by Heng Zhou, Yiqing Bao, Nan Zou, Guohua Fan, Hanbin Sang, Erlei Wang, Aijun Wang

“…These findings suggested that perceptual deficits may underlie abnormal audiovisual processing observed in PD patients.…”
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Numerical Calculation Analysis and Characteristic Research on Windage Loss of Oil-Jet Lubricated Aviation Gear Pair by Linlin Li, Sanmin Wang, Xuyang Zhang, Zhibin Li, Fei Li, Haoran Zou

“…Firstly, a two-phase (oil-gas) turbulence numerical model was established in the process of oil-jet lubrication. The numerical simulation test was designed by orthogonal experiment. …”
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Spectral characteristics of urine from patients with end-stage kidney disease analyzed using Raman Chemometric Urinalysis (Rametrix). by Ryan S Senger, Meaghan Sullivan, Austin Gouldin, Stephanie Lundgren, Kristen Merrifield, Caitlin Steen, Emily Baker, Tommy Vu, Ben Agnor, Gabrielle Martinez, Hana Coogan, William Carswell, Varun Kavuru, Lampros Karageorge, Devasmita Dev, Pang Du, Allan Sklar, James Pirkle, Susan Guelich, Giuseppe Orlando, John L Robertson

“…RametrixTM analysis includes spectral processing (e.g., truncation, baselining, and vector normalization); principal component analysis (PCA); statistical analyses (ANOVA and pairwise comparisons); discriminant analysis of principal components (DAPC); and testing DAPC models using a leave-one-out build/test validation procedure. …”
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Flooded area detection and mapping from Sentinel-1 imagery. Complementary approaches and comparative performance evaluation by Andrei Toma, Ionuț Șandric, Bogdan-Andrei Mihai

“…The ML models are Random Forest, and Support Vector Machine and the DL models are U-NET, DeepLabV3 and Mask RCNN. …”
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A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis by Tarneem Elemam, Mohamed Elshrkawey

“…In the second stage, the modified wrapper-based sequential forward selection is utilized to discover the optimal feature subset, using ML models such as support vector machine (SVM), decision tree (DT), random forest (RF), and K-nearest neighbor (KNN) classifiers. …”
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Distribution Network Security Situation Awareness Method Based on the Distribution Network Topology Layered Model by Yuhong Ouyang, Man Li, Wenqian Kang, Xiangbei Che, Ruixian Ye

“…Distribution network security situation awareness refers to the process of perception, understanding, and state projection of systems, elements, and environmental factors within a certain space-time volume. …”
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Comparison of PCA and 2DPCA Accuracy with K-Nearest Neighbor Classification in Face Image Recognition by Sri Sutarti, Anggyi Trisnawan Putra, Endang Sugiharti

“…Classification process in 2DPCA using K-Nearest Neighbor (KNN) method by counting euclidean distance. …”
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Advancing Credit Rating Prediction: The Role of Machine Learning in Corporate Credit Rating Assessment by Nazário Augusto de Oliveira, Leonardo Fernando Cruz Basso

“…The study evaluated multiple ML models, including Logistic Regression, Support Vector Machines, Decision Trees, Random Forest, Gradient Boosting (GB), and Neural Networks, using rigorous data pre-processing, feature selection, and validation techniques. …”
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Fault classification method for on-board equipment of metro train control system based on BERT-CNN by XU Qian, ZHANG Lei, OU Dongxiu, HE Yunpeng

“…The pre-trained bidirectional encoder representations from transformers (BERT) model is fine-tuned to fully capture the bidirectional semantics and focus on the keywords to produce better word vectors of the 'fault phenomena'. In order to counteract the classification performance degradation brought by data category imbalance, word vectors are trained using a convolutional neural network (CNN) model with the focal loss function. …”
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IoT-enabled real-time health monitoring system for adolescent physical rehabilitation by Jie Yang, Juanjuan Hu, Wenrui Chen

“…A particle swarm optimization support vector machine (PSO-SVM) algorithm is utilized to classify motion patterns. …”
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