Two-Stage Genetic Algorithm for Optimization Logistics Network for Groupage Delivery by Ivan P. Malashin, Vadim S. Tynchenko, Igor S. Masich, Denis A. Sukhanov, Daniel A. Ageev, Vladimir A. Nelyub, Andrei P. Gantimurov, Alexey S. Borodulin

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Optimizing PEMFC parameter identification using improved pufferfish algorithm and CNN by Ji Li, Changiz Bastani

“…In this research, a novel approach has been proposed for enhancing the accuracy of proton exchange membrane fuel cell (PEMFC) models based on convolutional neural networks (CNNs) and an improved optimization method (called the improved pufferfish optimization algorithm). This method has been suggested to improve the predictive performance of the model by optimizing the estimation of PEMFC parameters. …”
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Binocular stereo vision-based relative positioning algorithm for drone swarm by Qing Cheng, Yazhe Wang

“…This model achieves a 65.5% reduction in parameter count, a 62.7% reduction in FLOPs, and a 1.8% increase in accuracy compared to the original detection model. …”
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Two-Step Phase Retrieval Algorithm Using Single-Intensity Measurement by Cheng Zhang, Meiqin Wang, Qianwen Chen, Dong Wang, Sui Wei

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The Principle of Intelligent Switch Composition and Algorithm of the Built-In Electronic Voltage Transformer by Xinhui Cao, Yuting Dong, Zhongzheng Li, Juan Li, Gang Liang, Honglian Zhou

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Visual System Inspired Algorithm for Enhanced Visibility in Coronary Angiograms (VIAEVCA) by Hedva Spitzer, Yosef Shai Kashi, Morris Mosseri, Jacob Erel

“…Numerous efforts have been invested in previous algorithms to expose and enhance blood vessel (BV) visibility derived from clinical coronary angiography (CAG) procedures, such as noise reduction, segmentation, and background subtraction. …”
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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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Analysis and Research on Spectrogram-Based Emotional Speech Signal Augmentation Algorithm by Huawei Tao, Sixian Li, Xuemei Wang, Binkun Liu, Shuailong Zheng

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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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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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An improved polar lights optimization algorithm for global optimization and engineering applications by Tianping Huang, Faguo Huang, Zhaohui Qin, Jiafang Pan

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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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