Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm by FengJun Hu, Qian Zhang, Gang Wu

“…The control model is established by using the CKF algorithm, the covariance matrix of standard CKF is optimized by square root filter, the adaptive correction of error covariance matrix is realized by adding memory factor to the filter, and the disturbance factors in nonlinear time-varying discrete stochastic systems are eliminated by multistep feedback predictive control strategy, so as to improve the robustness of the algorithm. …”
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Exploration of Predictive Models for Lean Services in Government Lean Banking Industry by Fazel Saydi, Morteza Musa Khani, Sedigheh Tootian, Shahrazad Tayaran

“…The present study aims to identify and validate a predictive model of lean services in the context of lean government in the banking industry. …”
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An Enhanced Error-Adaptive Extended-State Kalman Filter Model Predictive Controller for Supercritical Power Plants by Gang Chen, Shan Hua, Changhao Fan, Chun Wang, Shuchong Wang, Li Sun

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Collaborative filtering recommendation algorithm based on rough set rule extraction by Yonggong REN, Yunpeng ZHANG, Zhipeng ZHANG

“…To address the problem that in a practical recommendation system (RS),because of the datasets are often very sparse,the traditional collaborative filtering (CF) approach cannot provide recommendations with higher quality,a novel CF based on rough set rule extraction was proposed.Firstly,the attributes of user/item and the user-item rating matrix were used to construct a decision table.Then,the core value of each rule in the table was extracted through using the decision table reduction algorithm.Finally,according to the nuclear value decision rule of the core value table,the reductions of all decision rules were utilized to predict the rating scores of un-rated items.Experimental results suggest that the proposed approach can alleviate the data sparsity problem of CF,and provide recommendations with higher accuracy.…”
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Innovative Hybrid Algorithm for Solving Vehicle Routing Problem with Time Window by A.M. Rahimi, B. Yadegari, M. Aboutalebi Esfahani

“…For samples comprising 100 customers, optimal global responses, as obtained from previous articles, have been observed in several instances. The proposed algorithm is suitable for transportation and logistics systems with limited customers and leads to cost reduction, improved delivery times, and increased service quality.…”
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Partial Differential Equations-Based Iterative Denoising Algorithm for Movie Images by Pingli Sun, Chenxia Wang, Min Li, Lanqi Liu

“…In this paper, we describe in detail the principles of the space-time noise reduction filter, propose a 3D-filter algorithm for Gaussian noise, an improved 3D-filter algorithm based on the 3D-BDP (bloom-deep-split) filter for mixed noise, and a filter algorithm for luminance and color noise in low-brightness scenes. …”
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Algorithmic Generation of Parameterized Geometric Models of the Aortic Valve and Left Ventricle by Nikita Pil, Alex G. Kuchumov

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A sociotechnical perspective for explicit unfairness mitigation techniques for algorithm fairness by Nimisha Singh, Amita Kapoor, Neha Soni

“…Our findings suggest three objectively testable propositions namely, 1) Fairness Constraint and Predictive power, 2) Fairness Constraints and Discriminatory Ability, 3) Fairness Constraints and Prediction Accuracy.…”
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An Algorithm for Detecting Collision Risk between Trucks and Pedestrians in the Connected Environment by Seung-oh Son, Juneyoung Park, Cheol Oh, Chunho Yeom

“…The algorithm consists of linear regression-based movable coordinate predictions and vertical distance and angle judgments considering the moving characteristics of objects. …”
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AODV-HE routing algorithm based on minimum hop and energy of node by Xiang YU, Zhi PENG, Shiyan WANG, Li LIU

“…AODV routing protocol takes the minimum hop as the only basis in route selection，causing the uneven allocation of resources and reduction in network lifetime.A routing algorithm based on minimum hops and energy of node（AODV-HE）was proposed.By integrating both minimum hop and residual energy of each node，the algorithm optimized the routing mechanism and presented a selection weight of reverse routing，based on which the best route was chosen.Simulation results show that the algorithm can effectively increase packet delivery ratio and reduce the end-end delay，and it can also improve the allocation of network resources and extend network lifetime.…”
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On the Multiwavelets Galerkin Solution of the Volterra–Fredholm Integral Equations by an Efficient Algorithm by H. Bin Jebreen

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Detection of Graduation Potential in Prospective Students using the Random Forest Algorithm by Puguh Hasta Gunawan, Irving Vitra Paputungan

“…The model was developed using the Random Forest algorithm with parameters set to max_depth = 15 and random_state = 42. …”
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Wavelet Adaptive Algorithm and Its Application to MRE Noise Control System by Zhang Yulin, Zhao Xiuyang

“…Simulation results reveal that the Decomposition LMS algorithm (D-LMS) and Decomposition and Reconstruction LMS algorithm (DR-LMS) based on Wavelet can significantly improve the noise reduction performance of MRE control system compared with traditional LMS algorithm.…”
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Statistical modeling based fast rate distortion estimation algorithm for HEVC by Xiang MENG, Haibing YIN, Xiaofeng HUANG

“…To reduce the coding computational complexity of the rate and distortion calculations in HEVC, a fast TU level rate model with higher accuracy was proposed.The contribution percentages of different syntax elements in entropy coding were evaluated, and syntax element-wise accurate rate models were individually developed to construct the whole TU level model.In addition, coefficient levels were weighted adaptively to distinguish the nonuniform contributions of different coefficients in terms of rate profiling.Moreover, position-wise parameter was defined to depict the distribution patterns for possible non-zero coefficients within one block.The final linear rate model was developed by fine-tuning the model parameters from great amounts of samples in a statistical way.Finally, the transform domain distortion model was also established to bypass unnecessary reconstruction process.Experimental results show that the proposed algorithm can achieve 49.76% complexity reduction with 1.74% BD-BR increase for RA configuration.…”
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Panel defect detection algorithm based on improved Faster R-CNN by Chen Wanqin, Tang Qingshan, Huang Tao

“…In view of the low precision and low efficiency of panel surface defect detection, this paper proposes an optimized defect detection algorithm based on Faster R-CNN. This method adds local adaptive cross-channel convolution without dimensionality reduction in the feature fusion layer to increase the feature mapping of channel crossing，and adds the CBAM attention network after the backbone feature extraction network to capture the long-term feature dependency of the feature map . …”
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Enhanced Retinal Vessel Detection Using Gradient Pyramid Fusion Algorithm by Cristian-Dragoș OBREJA

“…We used images from the DRIVE database, to evaluate the fusion algorithm’s precision, with results showing improved vascular tree detection and continuous edges, a reduction in the number of artifacts and improved measurement accuracy. …”
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A Biphase Code Sidelobe Suppression Method Based on the CLEAN Algorithm by Yiding Liang, Liyu Tian

“…This loss leads to a reduction in the peak energy of pulse compression and diminishes the mainlobe-to-sidelobe ratio. …”
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Spam filtering algorithm based on geographic E-mail path analysis by ZHANG Ni1, JIANG Yu2, FANG Bin-xing1, LI Guo1

“…A geographic E-mail path based algorithm called GEPA（geographic E-mail path analysis） was proposed to al-low network administrators to cut off spam traffic on E-mail delivery.The algorithm first extracted route information to build E-mail path subset,and then uesed an effective method mapping IP addresses or domain names of nodes in an E-mail path into geographic information.Further,the algorithm detected spam by their geographic information deviation,using E-mail traffics from a link of backbone border router in China,which crosses the country boundary of China,the performance of GEPA algorithm is evaluated.The experimental results indicated that a 13.9% reduction of E-mail can be achieved with method.The results also showed GEPA was effective and practical which can be implemented in a mas-sive traffic environment handling over millions of mails every day with small memory consumption.…”
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Spam filtering algorithm based on geographic E-mail path analysis by ZHANG Ni1, JIANG Yu2, FANG Bin-xing1, LI Guo1

“…A geographic E-mail path based algorithm called GEPA（geographic E-mail path analysis） was proposed to al-low network administrators to cut off spam traffic on E-mail delivery.The algorithm first extracted route information to build E-mail path subset,and then uesed an effective method mapping IP addresses or domain names of nodes in an E-mail path into geographic information.Further,the algorithm detected spam by their geographic information deviation,using E-mail traffics from a link of backbone border router in China,which crosses the country boundary of China,the performance of GEPA algorithm is evaluated.The experimental results indicated that a 13.9% reduction of E-mail can be achieved with method.The results also showed GEPA was effective and practical which can be implemented in a mas-sive traffic environment handling over millions of mails every day with small memory consumption.…”
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Hammerstein Nonlinear Active Noise Control with the Filtered-Error LMS Algorithm by Krzysztof MAZUR, Marek PAWEŁCZYK

“…The ANC system uses nonlinear control filters to suppress negative effects of nonlinearies in the system. Filtered-error LMS algorithm, found more suitable than usually used Filtered-reference LMS algorithm, is employed for updating parameters of the nonlinear filters. …”
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