Structural dynamic load prediction method based on long short-term memory network by Yuwei FAN, Tengbo GUO, Zhe LI, Liangyou HONG, Chao LIU, Dongxiang JIANG

“…ConclusionsThe proposed method addresses the issue of heterogeneous data involving both time-series and non-time-series features, and offers advantages such as high accuracy and efficiency, making it effective for fast iterative computation tasks.…”
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Ship Trajectory Clustering Based on Trajectory Resampling and Enhanced BIRCH Algorithm by Zhaojin Yan, Guanghao Yang, Rong He, Hui Yang, Hui Ci, Ran Wang

“…In order to explore the valuable ship traffic characteristics contained implicitly in massive AIS data, a ship trajectory clustering method based on ship trajectory resampling and enhanced BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) algorithm is proposed. …”
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ECPC-ICP: A 6D Vehicle Pose Estimation Method by Fusing the Roadside Lidar Point Cloud and Road Feature by Bo Gu, Jianxun Liu, Huiyuan Xiong, Tongtong Li, Yuelong Pan

“…In response to the above weakness, this paper proposed a registration algorithm Environment Constraint Principal Component-Iterative Closest Point (ECPC-ICP), which integrated road information constraints. …”
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Machine-learning-assisted and real-time-feedback-controlled growth of InAs/GaAs quantum dots by Chao Shen, Wenkang Zhan, Kaiyao Xin, Manyang Li, Zhenyu Sun, Hui Cong, Chi Xu, Jian Tang, Zhaofeng Wu, Bo Xu, Zhongming Wei, Chunlai Xue, Chao Zhao, Zhanguo Wang

“…Establishing the process parameters in molecular beam epitaxy (MBE) for a specific density of QDs is a multidimensional optimization challenge, usually addressed through time-consuming and iterative trial-and-error. Here, we report a real-time feedback control method to realize the growth of QDs with arbitrary density, which is fully automated and intelligent. …”
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Multimodal mapping of cell types and projections in the central nucleus of the amygdala by Yuhan Wang, Sabine Krabbe, Mark Eddison, Fredrick E Henry, Greg Fleishman, Andrew L Lemire, Lihua Wang, Wyatt Korff, Paul W Tillberg, Andreas Lüthi, Scott M Sternson

“…Here, we performed single-cell RNA-sequencing (scRNA-seq) to classify molecularly defined cell types in the CEA and identified marker genes to map the location of these neuronal types using expansion-assisted iterative fluorescence in situ hybridization (EASI-FISH). …”
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Applying Learning and Self-Adaptation to Dynamic Scheduling by Bernhard Werth, Johannes Karder, Michael Heckmann, Stefan Wagner, Michael Affenzeller

“…Real-world production scheduling scenarios are often not discrete, separable, iterative tasks but rather dynamic processes where both external (e.g., new orders, delivery shortages) and internal (e.g., machine breakdown, timing uncertainties, human interaction) influencing factors gradually or abruptly impact the production system. …”
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Towards Scrum Based Agile Framework for Global Software Development Teams by Shagufta Shafiq, Yaser Hafeez, Sadia Ali, Naila Iqbal, Muhammad Jamal

“…The Scrum is a project management method in Agile Methods family. Scrum is an iterative process that asks for incremental development of the product, includes cross functional development and testing teams. …”
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International medical graduates as untapped resource for community health and wellness by Meriem Aroua, Nashit Chowdhury, Deidre Lake, Tanvir C. Turin

“…Emergent themes and sub-themes were identified. Through an iterative process incorporating insights from community partners, themes were refined to capture the lived experiences of IMGs in this context. …”
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GEDI DATA WITHIN GOOGLE EARTH ENGINE: PRELIMINARY ANALYSIS OF A RESOURCE FOR INLAND SURFACE WATER MONITORING by A. Hamoudzadeh, R. Ravanelli, M. Crespi, M. Crespi

“…Then, a robust version of the standard 3&sigma; test using a 3NMAD (Normalized Median Absolute Deviation) test is iteratively applied.</p><p>After the outlier removal, which led to the elimination of between 80% to 87% of the data, the remaining footprints show an average standard deviation of 0.36 m, a mean NMAD of 0.38 m, and a Root Mean Square Error (RMSE) of 0.44 m, proving the promising potentialities of GEDI L2A altimetric data for inland water monitoring.…”
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A Metaheuristic Algorithm for Routing School Buses With Mixed Load by Yan-E Hou, Lanxue Dang, Weichuan Dong, Yunfeng Kong

“…Our algorithm combines a record-to-record travel framework with three neighborhood operators, single paired insertion, swapping pairs between routes, and within route insertion, to improve solution iteratively. Results from implementing this algorithm show that our PDPTW-based algorithm is feasible for mixed load SBRP. …”
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Optimal Control of Ascent Trajectory for Launch Vehicles: A Convex Approach by Yuan Li, Yingzi Guan, Changzhu Wei, Renyi Hu

“…Then, successive linearization is applied to formulate the problem as a series of iteratively solved second-order cone programming (SOCP) subproblems. …”
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A Game-Theoretic Approach for the Effective Distributed Coordination of STATCOMs by Cesar Contreras, Alicia Trivino, Jose A. Aguado

“…Another relevant advantage of the proposal is the use of minimum and non-sensitive data exchange, with which the local controllers reach the optimal solution with an iterative procedure in a fast way. The effectiveness of the proposal is evaluated for the IEEE 14-bus test system with three STATCOM units. …”
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Optimal coordination of directional overcurrent relays: A fast and precise quadratically constrained quadratic programming solution methodology by Amir Hossein Poursaeed, Meysam Doostizadeh, Sina Hossein Beigi Fard, Amir Hossein Baharvand, Farhad Namdari

“…Using the least square method, the operating point values are determined and further fine‐tuned using iterations with the DOCR operation times. The IEEE 3‐bus, IEEE 8‐bus, and IEEE 14‐bus test systems are used to test the method, which shows higher improvement rates in reducing DOCR operation times and enhancing cooperation than conventional and metaheuristic methods. …”
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High Permeability Streak Identification and Modelling Approach for Carbonate Reef Reservoir by Dmitriy Shirinkin, Alexander Kochnev, Sergey Krivoshchekov, Ivan Putilov, Andrey Botalov, Nikita Kozyrev, Evgeny Ozhgibesov

“…The P50 probabilistic model showed the best history matching after one iteration.…”
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Mutagenesis Screening of a Producing L-Malic Acid Aspergillus niger Strain and Optimization of Fermentation Medium by Shutong LIU, Bingbing SHI, Yiyang TAN, Chengwei LI, Caixia WEI, Depei WANG, Xianli XUE

“…In order to screen a strain of Aspergillus niger with high L-malic acid production ability, a wild-type strain was mutagenized into a strain with high L-malic acid production ability by iterative mutagenesis with UV mutagenesis and high concentration of actinomycinone, and the composition of its seed or fermentation medium was optimised. …”
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Research into the Beetle Antennae Optimization-Based PID Servo System Control of an Industrial Robot by Tian Ji, Haoran Wei, Jun Wang, Shaoqing Tian, Yi Yao, Shukai Hu

“…These modifications aim to improve the algorithm’s search capabilities and mitigate the risks of settling into local optima. Unlike previous iterations, this study includes rigorous dynamic and stability analyses focusing on key performance metrics such as settling time, overshoot, and steady-state error. …”
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SPICE Simulation of RRAM-Based Cross-Point Arrays Using the Dynamic Memdiode Model by Fernando L. Aguirre, Fernando L. Aguirre, Fernando L. Aguirre, Sebastián M. Pazos, Sebastián M. Pazos, Félix Palumbo, Félix Palumbo, Jordi Suñé, Enrique Miranda

“…By considering ex-situ training of the CPA aimed at classifying the handwritten characters of the MNIST database, we evaluate the performance of a Write-Verify iterative scheme for setting the crosspoint conductances to their target values. …”
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Radar main‐lobe jamming suppression and identification based on robust whitening Blind Source Separation and Convolutional Neural Networks by Sheng Gao, Xiaopeng Yang, Tian Lan, Bowen Han, Haoran Sun, Zhichao Yu

“…First, the target echoes and jamming are separated by the proposed robust whitening BSS method. An iterative optimisation method is proposed to obtain the robust whitening matrix, and sufficient conditions are provided for solvability. …”
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A Distributed Approach for Time-Dependent Observation Scheduling Problem in the Agile Earth Observation Satellite Constellation by Yanxiang Feng, Ruipeng Zhang, Sida Ren, Shuailin Zhu, Yikang Yang

“…Based on the fundamental idea of a distributed performance impact (PI) algorithm, we develop a PI-based distributed scheduling method (PIDSM) that runs concurrently on all AEOSs via local inter-satellite link (ISL)-based communications. The PIDSM iterates between two phases: <i>target inclusion</i> and <i>consensus and target removal</i>. …”
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Absolute Position Acquisition for Linear Synchronous Motor With Passive Mover by Tuanshan Zhang, Xuesong Mei, Xin Du

“…Furthermore, the RLS was optimized by the speed weighting factor and the forgetting factor to reduce the computational pressure and the iterative process. Second, one improved double second-order generalized integrator(DSOGI) decoding technology was investigated by extracting and separating the symmetric-positive sequence components in the unbalanced signal, and, using the phase-locked loop technique for tracking calculation, accurate speed and angle obtained. …”
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