A Lightweight AI-Based Approach for Drone Jamming Detection by Sergio Cibecchini, Francesco Chiti, Laura Pierucci

“…In this paper, we propose a low complexity unsupervised machine learning approach for the detection of constant and periodic jamming attacks, using the Isolation Forest algorithm. We detail the tuning of the base model as well as the integration with a Majority Rule module which significantly reduced the number of false positives caused by environmental noise, achieving high accuracy and precision. …”
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FDK Half-Scan with a Heuristic Weighting Scheme on a Flat Panel Detector-Based Cone Beam CT (FDKHSCW) by Dong Yang, Ruola Ning

“…Traditionally, the redundant data in the circular half-scan range is weighted by a central scanning plane-dependent weighting function; FDK algorithm is then applied on the weighted projection data for reconstruction. …”
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Quantitative Analysis of Comprehensive Influence of Music Network Based on Logistic Regression and Bidirectional Clustering by Yi-Kun Zhao, Guo-Qing Wang, Xiao-Xiao Zhan, Peng-Hui Yang

“…Firstly, 11 music features are selected from energy, popularity, and other aspects to build a comprehensive evaluation index of music influence, and the PageRank algorithm is used to quantify the music influence. …”
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THE METHOD OF ROLL SURFACE QUALITY MEASUREMENT FOR CONTINUOUS HOT DIP ZINC COATED STEEL SHEET PRODUCTION LINE by Ki Yong Choi, Yu. A. Lebedinsky, E.I. Marukovich, A.M. Branovitsky, V.A. Dementev

“…The system makes it possible to analyze roll surface condition according to pickup phenomena from various roll coatings concerning operating conditions of hearth rolls in annealing furnace. The algorithm of fast pickup detection on surface is developed on the base of processing of several optical images of surface. …”
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Comparison and Correction of Runoff Simulation Based on XGBoost and SWAT by LIANG Lisha, JIANG Xiaolei, HU Leyi, SHEN Jing, ZHANG Liping, FU Xiaolei

“…Based on the extreme gradient boosting (XGBoost) algorithm and soil and water assessment tool (SWAT) model, a runoff simulation model was constructed by using the observed hydrological data of Waizhou hydrological station in Ganjiang River Basin, and the simulation effects of the two models were compared. …”
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Shield Tunneling Parameter Matching Model and UI Interface by Gongyu Hou, Zhedong Xu, Le Li, Xiaoge Quan, Yajie Yang

“…The matching model based on BP neural network and PSO algorithm is compared in simulation experiments and engineering case. …”
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Effects of Reentry Plasma Sheath on Mutual-Coupling Property of Array Antenna by B. W. Bai, X. P. Li, Y. M. Liu, J. Xu

“…In this paper, the effects of the plasma sheath on the mutual coupling properties between adjacent array elements are studied utilizing the algorithm of finite integration technique. Results show that mutual coupling coefficients of array elements are deteriorating more seriously with the decrease of collision frequency. …”
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Design and Evaluation of the AIRGAIT Exoskeleton: Leg Orthosis Control for Assistive Gait Rehabilitation by Mohd Azuwan Mat Dzahir, Shin-Ichiroh Yamamoto

“…This paper introduces the body weight support gait training system known as the AIRGAIT exoskeleton and delves into the design and evaluation of its leg orthosis control algorithm. The implementation of the mono- and biarticular pneumatic muscle actuators (PMAs) as the actuation system was initiated to generate more power and precisely control the leg orthosis. …”
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Enhancing Credit Risk Decision-Making in Supply Chain Finance With Interpretable Machine Learning Model by Guanglan Zhou, Shiru Wang

“…This study clarified the applicability and limitations of various models, highlighting the superior performance and interpretability of XGBoost through the SHAP algorithm. Ultimately, the insights from this study provided valuable guidance for companies and financial institutions, fostering more sustainable allocation of financial resources.…”
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Homeomorphism Mapping Based Neural Networks for Finite Time Constraint Control of a Class of Nonaffine Pure-Feedback Nonlinear Systems by Jianhua Zhang, Quanmin Zhu, Yang Li, Xueli Wu

“…Furthermore, by combining finite time adaptive law and Lyapunov-based arguments, a valid finite time adaptive neural networks controller design algorithm is presented to ensure that system is practical finite stable (PFS) rather than uniformly ultimately bounded (UUB). …”
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Collaboration of clustering and classification techniques for better prediction of severity of heart stroke using deep learning by T. Swathi Priyadarshini, Mohd Abdul Hameed

“…Our research aims to present a comprehensive study of machine learning algorithms and deep learning advancements in medical field systems for decision making. …”
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Reduction of Truncation Errors in Planar, Cylindrical, and Partial Spherical Near-Field Antenna Measurements by Francisco José Cano-Fácila, Sergey Pivnenko, Manuel Sierra-Castañer

“…The method is based on the Gerchberg-Papoulis iterative algorithm used to extrapolate band-limited functions and it is able to extend the valid region of the calculated far-field pattern up to the whole forward hemisphere. …”
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Constructing the Fuzzy Hyperbola and Its Applications in Analytical Fuzzy Plane Geometry by Seçil Özekinci, Cansel Aycan

“…We show the use of the algorithm for calculating the coefficients in the conic equation on the examples. …”
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Hierarchical Learning: A Hybrid of Federated Learning and Personalization Fine-Tuning by Li Shuyi, Zhang Bairong

“…This study proposes a hierarchical model that mitigates these challenges by incorporating a global model, trained using the Federated Averaging (FedAvg) algorithm, and applying client-specific fine-tuning to improve local model performance. …”
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Effect of International Technology Transfer on the Technical Efficiency of High-Tech Manufacturing in China: A RAGA-PP-SFA Analysis by Shuzhen Zhou, Qunzhao Deng, Feng Peng

“…By integrating stochastic frontier analysis (SFA) and projection pursuit (PP) based on the real-coded accelerated genetic algorithm (RAGA), this study constructed a RAGA-PP-SFA model that considers undesirable outputs. …”
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Fault Identification of Rolling Bearing Using Variational Mode Decomposition Multiscale Permutation Entropy and Adaptive GG Clustering by Tianjing He, Rongzhen Zhao, Yaochun Wu, Chao Yang

“…Finally, low-dimensional sensitive features obtained by principal component analysis (PCA) are fed into the adaptive GG clustering algorithm to perform fault identification. In this method, the residual energy ratio is used to find the optimal parameter K of the VMD and the PBMFfunction is incorporated into the GG to determine the number of clusters adaptively. …”
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Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network by Fei Zhang, Yuntao Zhao, Jian Shao

“…When its original function is transferred with a transfer function, the uniform differential evolution algorithms can quickly solve complex optimization problems. …”
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Applying Data Clustering Feature to Speed Up Ant Colony Optimization by Chao-Yang Pang, Ben-Qiong Hu, Jie Zhang, Wei Hu, Zheng-Chao Shan

“…In this paper an improved ACO algorithm is presented, which firstly divided all data into local clusters and calculated small TSP routes and then assembled a big TSP route with them. …”
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Fast Spectral Clustering via Efficient Multilayer Anchor Graph by Yiwei Wei, Chao Niu, Dejun Liu, Peinan Ren

“…Against this backdrop, a novel algorithm named fast spectral clustering via efficient multilayer anchor graph (FEMAG) is proposed to resolve the accuracy and time-consuming trade-off problem. …”
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PaTAVTT: A Hardware-in-the-Loop Scaled Platform for Testing Autonomous Vehicle Trajectory Tracking by Zhigang Xu, Mingliang Wang, Fengzhi Zhang, Sheng Jin, Jin Zhang, Xiangmo Zhao

“…Further, a simplified vehicle dynamics model and a trajectory tracking algorithm have been considered to build the simulation test. …”
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