Optimization and Modeling of Optical Emission Spatial Coverage from Underwater Multi-Faceted Optical Base Stations by Junjie Shi, Chunbo Ma, Xu Tian, Hanjun Guo, Jun Ao

“…Additionally, a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is used to optimize the configuration of the multi-faceted LED array by adjusting the deflection angles of the LED arrays and the emission half-angle of the LEDs at the OBS. …”
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Collaborative Transport Strategy for Dual AGVs in Smart Ports: Enhancing Docking Accuracy in No-Load Formations by Qiang Zhang, Wenfeng Li, Long Guo, Xiaohang Qi

“…This framework includes a feedback mechanism based on the leader–follower formation model, along with a closed-loop controller utilizing the sliding mode control algorithm. Finally, simulation and physical tests based on real port data verify the proposed strategy’s effectiveness. …”
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MULTI-OBJECTIVE OPTIMIZATION OF SHELL KEY PARAMETERS OF ROTATING BUTT SKIRT AND PROTOTYPE DEVELOPMENT by GONG HaiXia, LIU Zhe, WANG LiQuan, HOU ShuPing, WANG ChenYe

“…The rotating butt skirt is works in the deep water area of the ocean,In order to solve the safety problem of rotating butt skirt working in deep water,In this paper,fixed skirt,direction skirt,angle skirt was took as the research object.Multi-Objective Genetic Algorithm is used to optimize the key parameters of fixed skirt,direction skirt and angle skirt,and we get the optimal parameters of the three. …”
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Construction method of double unicast network coding by Baoxing PU, Zhiyi MO

“…In order to use network coding technology for data transmission in double unicast network,a construction method of double unicast network coding was proposed.The pre-coding strategy was implemented at each source node,the random linear network coding combined to the multi-objective optimization evolutionary algorithm was adopted to design the local coding vector of each channel.At the each sink node,the base vector of zero space of matrix was used to eliminate some information interference,and then the two-level pre-coding strategy was used to control the transmission rate at source.Thus,each sink node could be decoded successfully.With the proposed method,the approximate reachable information rate region of double unicast network coding could be determined and the transmission scheme for each vector in the reachable information rate region could be designed.Theoretical derivation and simulation calculation show the effectiveness of the proposed method.…”
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ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel by Abdelhalim ALLAOUI, Abdelmoumene GUEDRI, Lamia DARSOUNI, Abderrazek DARSOUNI

“…The optimal ANN model was developed using Levenberg-Marquardt algorithm, and vas formed with two hidden layers with ten neurons in the first and ten neurons in the second. …”
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Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration by Lotta M. Ellingsen, Jerry L. Prince

“…An extensive validation of the algorithm was performed on T1-weighted SPGR MR brain images from the NIREP evaluation database. …”
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TriangularSORT: A Deep Learning Approach for Ship Wake Detection and Tracking by Chengcheng Yu, Yanmei Zhang

“…This paper introduces a novel approach for ship tracking and wake detection utilizing advanced computational techniques, particularly the TriangularSORT algorithm for monitoring vessels. This method enhances effective ship tracking by closely associating the vertices of the triangular wake with the coordinates of the ship. …”
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Advanced Techniques and Antenna Design for Pulse Shaping in UWB Cognitive Radio by Lise Safatly, Mohammed Al-Husseini, Ali El-Hajj, Karim Y. Kabalan

“…The Parks-McClellan algorithm is employed, a neural network is trained, and a reconfigurable band stop filter is designed to generate an adaptive waveform with nulls at specific frequencies. …”
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Least-Norm of the General Solution to Some System of Quaternion Matrix Equations and Its Determinantal Representations by Abdur Rehman, Ivan Kyrchei, Muhammad Akram, Ilyas Ali, Abdul Shakoor

“…Finally, we give determinantal representations (analogs of Cramer’s rule) of the least norm solution to the system using row-column noncommutative determinants. An algorithm and numerical examples are given to elaborate our results.…”
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Elliptical Crack Identification in a Nonrotating Shaft by B. Muñoz-Abella, L. Rubio, P. Rubio, L. Montero

“…Second, once the direct problem is known, the inverse problem is approached. Genetic Algorithm technique has been used to estimate the crack parameters assuming known the natural frequencies of the cracked shaft.…”
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Coupled Hydrologic-Mechanical-Damage Analysis and Its Application to Diversion Tunnels of Hydropower Station by Annan Jiang, Xiurong Yang, Mengfei Xu, Tengfei Jiang

“…An inverse analysis program is compiled based on the differential evolution algorithm, and the surrounding rock damage parameters are inverted. …”
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Optimal Solutions for Constrained Bimatrix Games with Payoffs Represented by Single-Valued Trapezoidal Neutrosophic Numbers by Mohamed Gaber, Majed G. Alharbi, Abd Alwahed Dagestani, El-Saeed Ammar

“…Moreover, an application example is examined to verify the effectiveness and superiority of the developed algorithm. Finally, a comparison analysis between the proposed and the existing approaches is conducted to expose the advantages of our work.…”
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Sliding Mode Output Feedback Control of a Flexible Rotor Supported by Magnetic Bearings by A. S. Lewis, A. Sinha, K. W. Wang

“…A new sliding mode feedback algorithm is applied to control the vibration of a flexible rotor supported by magnetic bearings. …”
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Modeling and control design of a bronchoscope robotics system by Yuhua Song, Lifeng Zhu, Jinfeng Li, Cheng Wang, Aiguo Song

“…Therefore, we use the boundary control algorithm to design a controller capable of suppressing vibration for the inserting tube. …”
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A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation by Guo-hua Wang, Yu-fa Sun

“…The compressive sensing (CS) technique is firstly introduced to the method of moment (MoM) to reduce the number of the right-hand sides (RHS), but since the resulting excitation matrix contains linear dependency and has low-rank characteristics, the adaptive cross approximation (ACA) algorithm is used to recompress such excitation matrix, keeping only the necessary physical information. …”
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Vision-Based Tracking of Uncooperative Targets by Suresh K. Kannan, Eric N. Johnson, Yoko Watanabe, Ramachandra Sattigeri

“…An additional piece of information, the subtended angle, also available from computer vision algorithm is used to improve range estimation accuracy. …”
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Cooperative Tracking Control of the Multiple-High-Speed Trains System Using a Tunable Artificial Potential Function by Zhiwu Huang, Pingping Wang, Feng Zhou, Weirong Liu, Jun Peng

“…In this paper, a novel cooperative tracking control based on a consensus algorithm and artificial potential field theory is proposed to realize the train tracking within a distance range. …”
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Deep Grassmannian multiview subspace clustering with contrastive learning by Rui Wang, Haiqiang Li, Chen Hu, Xiao-Jun Wu, Yingfang Bao

“…A novel approach was proposed in this study, termed deep Grassmannian multiview subspace clustering with contrastive learning (DGMVCL). The proposed algorithm initially utilized a feature extraction module (FEM) to map the original input samples into a feature subspace. …”
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Study on the correlation of toughness with chemical composition and tensile test results in microalloyed API pipeline steels by Pouraliakbar H., Khalaj G., Jandaghi M.R., Khalaj M.J.

“…In this investigation, an artificial neural network model with feed forward topology and back propagation algorithm was developed to predict the toughness (area underneath of stress-strain curve) of high strength low alloy steels. …”
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Addressing Rare Outages in C-V2X With Time-Controlled One-Shot Resource Scheduling by Md Saifuddin, Mahdi Zaman, Yaser P. Fallah, Jayanthi Rao

“…This allocation is based on a semi persistent sensing-based scheduling scheme (SPS) algorithm. But, due to this reuse of periodic resources, the possibility of loss of consecutive packets between the same vehicle pair is significant. …”
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