Automated mold defects classification in paintings: A comparison of machine learning and rule-based techniques. by Hilman Nordin, Bushroa Abdul Razak, Norrima Mokhtar, Mohd Fadzil Jamaludin, Adeel Mehmood

“…Results indicate that both methods improve the accuracy and precision of mold defect detection compared to no classifier. However, the CART algorithm exhibits superior performance, increasing precision by 32% to 53% while maintaining high accuracy (96%) even with an imbalanced dataset. …”
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Geometric Lattice Structure of Covering and Its Application to Attribute Reduction through Matroids by Aiping Huang, William Zhu

“…Geometric lattices have been widely used in many fields, especially greedy algorithm design which plays an important role in the reduction problems. …”
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Geometric Regularized Hopfield Neural Network for Medical Image Enhancement by Fayadh Alenezi, K. C. Santosh

“…As a result, it enhances edges, information content, contrast, and resolution. The proposed algorithm was tested on fifteen different medical images, where evaluations were made based on entropy, visual information fidelity (VIF), weighted peak signal-to-noise ratio (WPSNR), contrast, and homogeneity. …”
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Balancing Treatment Allocation over Continuous Covariates: A New Imbalance Measure for Minimization by Yanqing Hu, Feifang Hu

“…In addition, we developed an efficient algorithm to implement the new procedure. By simulation studies we show that the new procedure is able to keep good balance properties in comparison with other popular designs.…”
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DEEP-SEA LANDING VEHICLE SHAPE DRAG ANALYSIS AND BOW MODELED LINE OPTIMIZATION DESIGN (MT) by ZHANG ZiYao, ZHOU Yue, SUN Yu, LAN YanJun, GUO Wei

“…The optimal latin Hypercube method is used to select sample points for the direct navigation resistance calculation, an approximate model of design variable-resistance was established based on the radial basis function neural network, and the optimal design of landing vehicle bow modeled line was carried out by using the adaptive simulated annealing algorithm. The optimized resistance is reduced by 14.24%, and the hydrodynamic performance is improved. …”
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Flap/Lag Stall Flutter Control of Large-Scale Wind Turbine Blade Based on Robust H2 Controller by Tingrui Liu, Wei Xu

“…The effectiveness of the control algorithm is demonstrated in both amplitudes and frequencies by description of time responses, extended phase planes, and frequency spectrum analysis, respectively.…”
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Research on the Construction of Intelligent Media Ideological and Political Learning Platform Based on Artificial Intelligence Technology by Jingsheng Wang, Siyuan Hu

“…Based on the K-means algorithm, the intelligent media ideological and political learning platform resource management module is designed, the teaching resource database is constructed, and the teaching resource sharing model component module is designed to realize the construction of the intelligent media ideological and political learning platform. …”
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Gaussian Pyramid for Nonlinear Support Vector Machine by Rawan Abo Zidan, George Karraz

“…This paper proposes a fast and less time and memory-consuming algorithm to solve the problems represented by a nonlinear support vector machine tool, based on generating a Gaussian pyramid to minimize the size of the dataset. …”
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Position Control Using Trajectory Tracking and State Estimation of a Quad-rotor by Onur Sarıpınar, Muharrem Mercimek

“…This study includes position control using a trajectory generation algorithm. Attitude estimation of the quad-rotor is improved with the Explicit Complementary Filter (ECF) and the state estimations is improved with the Extended Kalman Filter (EKF). …”
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Exploring Urban Fear of Crime using Unsupervised Classification - The Case of Athens by Dimitra Stamou

“…The variables were formed by all respondents’ answers and the k-means algorithm was used. From this process, groupings of a certain number of clusters emerged. …”
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Real-Time Incident Detection and Capacity Estimation Using Loop Detector Data by Syed Muzammil Abbas Rizvi, Afzal Ahmed, Yongjun Shen

“…Given the fact that the existing literature lacks the real-time estimation of road capacity and incident location using data from inductance loop detectors, a data-driven framework is proposed in this study for real-time incident detection, as well as road capacity and incident location estimation. The proposed algorithm for incident detection is developed based on the variation in traffic flow parameters acquired from inductance loop detectors. …”
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Structure optimization of jacquard lifting knife on NURBS curve by YANG ZhenNing, LI YuLiang

“…Finally, aiming at the minimum quality, the primal-dual infeasible-interior-point algorithm was used to optimize the lifting knife structure. …”
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Business targeting in Iran: a hybrid simulation-optimization approach by amir mansour tehranchian, Sogand Hoseinnia Chafjiri

“…For this purpose, first, using the Gauss-Seidel algorithm, the system of dynamic and non-linear macrometric equations and the quantitative goals of the sixth development program; the employment process in the country was simulated. …”
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Damage Detection of Structures for Ambient Loading Based on Cross Correlation Function Amplitude and SVM by Lin-sheng Huo, Xu Li, Yeong-Bin Yang, Hong-Nan Li

“…The data features are then input into the SVM with the one-against-one (OAO) algorithm to classify the damage status of the structure. …”
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Study on the Effect of Amygdales on Mechanical Characteristics of Basalt Using the Combined Finite-Discrete Element Method by Shirui Zhang, Shili Qiu, Ping Li, Yongyuan Kou, Pengfei Kou

“…Then, the heterogeneous models (HMs) with prescribed geometric features were generated by the inverse Monte-Carlo (IMC) algorithm. The uniaxial compression experiments based on HMs were conducted to study the mechanism of the crack initiation and propagation in the amygdaloidal basalt. …”
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Automatic Player Face Detection and Recognition for Players in Cricket Games by Mahmood Ul Haq, Muhammad Athar Javed Sethi, Sadique Ahmad, Mohammed A. ELAffendi, Muhammad Asim

“…The system utilizes the AdaBoost algorithm for player and player face detection, employing a PAL based face recognition model to recognize the faces of players on the field. …”
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Mathematical modelling and dynamic optimization of phase-locked loop systems using hybrid PSO-gradient descent approach by Mrinal Kanti Rajak, Rajen Pudur

“…The proposed model combines a state-space representation of PLL dynamics with an innovative dual-optimization algorithm integrating Particle Swarm Optimization (PSO) and Gradient Descent (GD). …”
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Robust Adaptive Beamforming against Signal Steering Vector Mismatch and Jammer Motion by Xiaojun Mao, Wenxing Li, Yingsong Li, Yaxiu Sun, Zhuqun Zhai

“…The analytical expressions of the proposed algorithm are also provided, which are efficient and easily solved. …”
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Design of a Savitzky-Golay Filter-Based vEMG-FES System by Ruikai Cao, Yixuan Sheng, Anqin Dong, Honghai Liu

“…Additionally, we adapt the Savitzky-Golay filter to extract high-quality, real-time vEMG from FES-contaminated signals, with the optimal filter parameters for different stimulation and blanking periods determined using a genetic algorithm and semi-synthesized signals. Simulation and experimental results confirm that the proposed system ensures robust and high-quality vEMG acquisition, even under varying parameters and across different individuals. …”
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Deadlock Prevention Policy with Behavioral Optimality or Suboptimality Achieved by the Redundancy Identification of Constraints and the Rearrangement of Monitors by Liang Hong, YiFan Hou, JunFeng Jing, AnRong Wang, Dmitry A. Litvin

“…For the possible existence of new siphons generated after the first phase, we add monitors with their output arcs first pointed to source transitions at the second phase to avoid new siphons generating and then rearrange the output arcs step by step on condition that liveness is preserved. In addition, an algorithm is proposed to remove the redundant constraints of the MIP problem in this paper. …”
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