Residual-conditioned sparse transformer for photoacoustic image artifact reduction by Xiaoxue Wang, Jinzhuang Xu, Chenglong Zhang, Moritz Wildgruber, Wenjing Jiang, Lili Wang, Xiaopeng Ma

“…By introducing residual prior information, our algorithm encodes and embeds it into local enhancement and detail recovery stages. …”
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Medical laboratory data-based models: opportunities, obstacles, and solutions by Jiaojiao Meng, Moxin Wu, Fangmin Shi, Ying Xie, Hui Wang, You Guo

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Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

“…Researchers are mainly interested in using soft computing artificial intelligence (AI) methods due to their broad applications in analysis, modelling and simulations. …”
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What works and what does not work in local entrepreneurship support policy? by Jacek Rodzinka, Tomasz Skica, Elżbieta Ociepa-Kicińska, Rafał Czyżycki

“…To determine the relationship between the type of commune, the instrument used, and the effectiveness of the tool used, we used a generalized reduced gradient non-linear algorithm. Findings: The study results proved that there is no one universal area or instrument that would guarantee with high probability success in the form of an increase in the level of entrepreneurship in a municipality, regardless of its type. …”
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Boundaries extraction and features recognition of metro station catchment area: the perspective of cognition and perception by Jiaqi Zhao, Qinghuai Liang, Jiaao Guo, Lei Huang

“…Utilizing the highly relevant POIs and road network data, the Alpha shape algorithm is deployed and combined with road data to delineate boundaries. …”
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Heat Storage Decoupling Method Based on Coordinated Load Scheduling Model by Yi LEI, Mingzhen LIU, Kaimin LIN

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Identifying influential spreaders based on improving communication transmission model and network structure by Shimeng Zhang, Zejun Sun, Guan Wang, Haifeng Hu, Feifei Wang, Xiaoyan Sun

“…Abstract The identification of key nodes has garnered considerable attention across various research domains, including commercial marketing, infectious disease prevention and control, road network optimization, intelligent electricity management, and Chinese medicine formulation design. …”
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Manifold Learning for Aerodynamic Shape Design Optimization by Boda Zheng, Abhijith Moni, Weigang Yao, Min Xu

“…This work addressed the transonic optimization problem of the undeflected Common Research Model (uCRM) three-dimensional wing (with an aspect ratio of 9), involving 241 design variables. …”
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Enhanced Artificial Rabbit Optimization with attention-based deep learning for leukemia cancer classification by Sabita Rani Behera, Bibudhendu Pati, Devee Sivaprasad Dulam

“…In the presented EAROADL-LCC technique, the attention-based EfficientNet model is used to extract the relevant features from the input images. Then the EARO algorithm is designed by using the Levy flight (LF) model for hyperparameter tuning. …”
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Design of 3 DOF hexapod leg movement using inverse kinematics: bridging gaps in multilegged robot kinematics literature by Heru Suwoyo, Nur Aziz Taufikurohman, Yingzhong Tian, Achmad Burhanudin

“…Designing the motion of a hexapod robot with 3 Degrees of Freedom (DOF) using the Inverse Kinematics method allows the robot to move by adjusting the angles of its leg joints according to the desired position and direction. This research involves the geometric and structural design of the hexapod robot and the development of an Inverse Kinematics algorithm to calculate the leg joint angles based on the target pose. …”
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Leveraging Harris Hawks Optimization for Enhanced Multi-Objective Optimal Power Flow in Complex Power Systems by Fahad Alsokhiry

“…Experimental results reveal that solutions derived from HHO exhibit superior convergence, enhanced diversity maintenance, and higher quality Pareto-optimal solutions compared to the MOEA/D trail algorithms. The research breaks new ground in the application of the Harris Hawks Optimization (HHO) algorithm to the Multi-Objective Optimal Power Flow (MaO-OPF) problem. …”
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Suspension Parameter Estimation Method for Heavy-Duty Freight Trains Based on Deep Learning by Changfan Zhang, Yuxuan Wang, Jing He

“…To address this issue, this research provides a suspension parameter estimation technique based on CNN-GRU. …”
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Optimal Design and Analysis of Conical Magnetic Gear by Seyed Ahamdreza Afsari Kashani

“…To compare the proposed topology, the optimal design of the model is compared with the conventional radial flux structure using the genetic algorithm and 3-D finite element method to obtain maximum torque density. …”
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Fault Mechanism Analysis and One-terminal Protection Method of Flexible DC Transmission Line under the Influence of Multi-type Faults by Zongjun MU, Junhong QIU, Zhenxing LI, Weidong WANG, Dengxin LIU, Bin HU

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Investigation of Load Sharing and Dynamic Load Characteristics of a Split Torque Transmission System with Double-Helical Gear Modification by Xuan Liu, Zongde Fang, Haitao Jia, Ning Zhao, Yunbo Shen, Hui Guo, Xijin Zhang

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Two-Phase Optimization Models for Liner Shipping Network Based on Hub Ports Cooperation: From the Perspective of Supply-Side Reform in China by Jingmiao Zhou, Yuzhe Zhao, Xingwen Niu

“…The optimization towards different levels of decision-making process is a new research of highly practical values. Specifically, this paper created two-phase optimization models for LSN based on the selection of hub ports. …”
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IMPROVEMENT OF PASSENGER SERVICE PROCESSES OF DEPARTING FLIGHT BASED ON PROJECT MANAGEMENT METHODS by S. A. Kropiventseva

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Magnetic Field Active Shielding of Overhead Power Lines with Triangular Phase Conductors Arrangements by Kuznetsov B., Nikitina T., Bovdui I.

“…New scientific results are theoretical and field experimental research of the shielding factor of two circuit system of active shielding with two shielding coils carried out. …”
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Information and Communication Technologies in the Product Quality Management System of Industrial Enterprise by Vitalina Babenko, Liudmyla Yemchuk, Larysa Dzhulii, Hanna Tsymbaliuk, Olena Fridman, Lesia Bilorusets

“…The generalization of practical aspects of the research provided an opportunity to build an algorithm and determine the tools for the formation of an adaptive product quality management system using modern computer technology for effective information support.…”
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eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand by Tao Li, Yingjun Du, Zemin Zhang, Yushun Wang

“…We first investigate the performance and routing of Meituan’s eVTOL system, focusing on the dynamic optimization of eVTOL reserves and total costs at distribution stations under fluctuating order surges and charging constraints. An iterative algorithm is constructed, supported by numerical examples and Monte Carlo simulations. …”
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