Improved adaptive FPGA dark channel prior dehazing algorithm for edge applications in agricultural scenarios by Qunpeng Gao, Baiquan Qian, Fengqi Yu, Liye Chen, Peng Gao, Jiatao Wu, Zonghong Li, Weixing Wang, C.V. Jiaxing Xie

“…The experimental results show that the optimized algorithm maintains superior dehazing quality (outperforming other dehazing algorithms in the field on metrics including PSNR, SSIM, and information entropy).…”
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A Distributed Weighted Possibilistic c-Means Algorithm for Clustering Incomplete Big Sensor Data by Qingchen Zhang, Zhikui Chen

“…Finally, to improve the cluster speed of WPCM, the cloud computing technology is used to optimize the WPCM algorithm by designing the distributed weighted possibilistic c-means clustering algorithm (DWPCM) based on MapReduce. …”
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A Combined Optimal Sensor Placement Strategy for the Structural Health Monitoring of Bridge Structures by Can He, Jianchun Xing, Juelong Li, Qiliang Yang, Ronghao Wang, Xun Zhang

“…However, some defects are present in the existing methods, such as the focus on a single optimal index, the selection of modal order and sensor number based on experience, and the long computation time. …”
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Optimal ACL Policy Placement in Hybrid SDN Networks: A Reinforcement Learning Approach by Wajid Ullah Khan, Nadir Shah, Gabriel-Miro Muntean, Haleem Farman, Moustafa M. Nasralla, Shan Ullah, Muhammad Shabir

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A New Approach Combining RSA and ElGamal Algorithms: Advancements in Encryption and Digital Signatures Using Gaussian Integers by Yahia Awad, Douaa Jomaa, Yousuf Alkhezi, Ramiz Hindi

“…This article introduces a novel approach that integrates the ElGamal and RSA algorithms to advance the security and efficiency of public-key cryptosystems. …”
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METHOD FOR PLANNING THE OPTIMAL TRAJECTORY OF A THREE-LINK MANIPULATOR IN TRIDIMENSIONAL SPACE WITH AN OBSTACLE by V. O. Antonov, M. M. Gurchinsky, V. I. Petrenko, F. B. Tebueva

“…A literature review on the research problem indicates that universal methods for planning the trajectory of the manipulator's movement are faced with problems of operational low accuracy or the algorithm's large computational complexity. The aim of the study is to develop methods for planning the optimal trajectory of a three-link manipulator in a tridimensional space with an obstacle.Methods. …”
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Research on the optimal operation of a prosumer micro energy network centred on data centres by Yuanshi Zhang, Yiwu Ge, Shunjiang Wang, Weiqi Pan, Yiwen Feng, Peng Qiu

“…By considering data interaction and power sharing among multiple micro‐energy networks, the alternating direction method of multipliers algorithm is used to solve the system‐distributed optimization problem in two stages. …”
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Stochastic Production Planning with Regime-Switching: Sensitivity Analysis, Optimal Control, and Numerical Implementation by Dragos-Patru Covei

“…Numerical solutions to the PDE system are computed using a monotone iteration algorithm, enabling quantitative analysis. …”
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Optimal Band Configuration for the Roof Surface Characterization Using Hyperspectral and LiDAR Imaging by Prakash Nimbalkar, Anna Jarocinska, Bogdan Zagajewski

“…However, the challenges associated with HSI are its huge dimensionality and data redundancy that requests huge space, complex computations, and lengthier processing time. Therefore, this study aims to find the optimal bands to characterize the roof surfaces using supervised classifiers. …”
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Optimal design and performance prediction of stepped honeycomb labyrinth seal using CFD and ANN by Geunseo Park, Min Seok Hur, Tong Seop Kim

“…A stepped honeycomb labyrinth seal was optimized, and its leakage performance was predicted across various operating conditions using computational fluid dynamics (CFD) and artificial neural networks (ANNs). …”
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Time and Covariance Threshold Triggered Optimal Uncooperative Rendezvous Using Angles-Only Navigation by Yue You, Hua Wang, Christophe Paccolat, Volker Gass, Jean-Philippe Thiran, Jiu Ren Li

“…In the context of Yamanaka-Ankersen orbital relative motion equations, the square root unscented Kalman filter (SRUKF) AON algorithm is developed to compute the relative state estimations from a low-volume/mass, power saving, and low-cost optical/infrared camera’s observations. …”
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Construction of Social Security Fund Cloud Audit Platform Based on Fuzzy Data Mining Algorithm by Yangting Huai, Qianxiao Zhang

“…The general idea of using fuzzy data mining algorithm to build the social security fund audit cloud platform is to compress the knowledge contained in a large number of data into the weights between nodes and optimize the weights through the learning of the neural network system. …”
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A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach by Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi

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A Genetic Algorithm Approach for Expedited Crossing of Emergency Vehicles in Connected and Autonomous Intersection Traffic by Qiang Lu, Kyoung-Dae Kim

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Genetic Algorithm and Mathematical Modelling for Integrated Schedule Design and Fleet Assignment at a Mega-Hub by Melis Tan Tacoglu, Mustafa Arslan Ornek, Yigit Kazancoglu

“…Second, a genetic algorithm (GA) was employed to demonstrate scalability and flexibility, delivering near-optimal, high-granularity schedules with significantly reduced computational time. …”
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A mathematical PAPR estimation of OTFS network using a machine learning SVM algorithm by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

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A Non-Rigid Three-Dimensional Image Reconstruction Algorithm Based on Deformable Shape Reliability by Haiying Chen, Syed Atif Moqurrab

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A Double-Layer Combination Algorithm for Real-Time Information-Sharing Network Design Problem by Qi Sun, Liwen Jiang, Haitao Xu

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Fast Algorithm for Cyber-Attack Estimation and Attack Path Extraction Using Attack Graphs with AND/OR Nodes by Eugene Levner, Dmitry Tsadikovich

“…Computational experiments with real and synthetic data have shown that the proposed algorithm consistently and quickly finds optimal solutions to the problem.…”
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Numerical Recognition Algorithm for Power Equipment Monitoring Based on Light-Resnet Convolutional Neural Network by Zhiheng KONG, Chong TAN, Peiyao TANG, Chengbo HU, Min ZHENG

“…This approach, leveraging the allocation of computational resources for task distribution, introduces a Light-Resnet-based numerical recognition algorithm, which enhances network training through the optimization of the D-Add loss function, enabling remote reading of electrical equipment monitoring data. …”
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