Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysis by Maged Zagow, Marwa Elbany, Ahmed Mahmoud Darwish

“…The Decision Tree algorithm was applied iteratively to evaluate variable interactions and identify critical thresholds that influence carbon emissions. …”
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Land Surface Temperature and Emissivity Separation from Cross-Track Infrared Sounder Data with Atmospheric Reanalysis Data and ISSTES Algorithm by Yu-Ze Zhang, Xiao-Guang Jiang, Hua Wu, Ya-Zhen Jiang, Zhao-Xia Liu, Cheng Huang

“…To take full advantage of the rich spectral information in CrIS data to improve the land surface retrievals, particularly the acquisition of a continuous Land Surface Emissivity (LSE) spectrum, this paper attempts to simultaneously retrieve a continuous LSE spectrum and the Land Surface Temperature (LST) from CrIS data with the atmospheric reanalysis data and the Iterative Spectrally Smooth Temperature and Emissivity Separation (ISSTES) algorithm. …”
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Application of Monte Carlo Simulation (MCS) and Fuzzy Finite Element (FFEM) for Investigating the Uncertainty of Seepage in Homogeneous Earth Dams by Milad Kheiry, Farhoud Kalateh

“…In this study, a computer program was used for Finite Element Analysis (FEA), which was definitively checked after validation with experimental results. Monte Carlo iteration loops were then used for probabilistic mode. …”
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Multi-objective optimization of the heating oil circuit inside the calendering roller for the lithium battery pole piece by Shuangqiu Sun, Junqiang Wang, Rongying Zhang, Zhenchao Si, Zhijie Yang

“…A fluid–thermal–structural coupling flowchart based on the numerical modeling for the calendering roller temperature distribution is created to automate the analysis processes in the optimization iteration. In the multi-objective optimization procedure, an integrated optimization framework is established by the prebuilt CAD module and the FEM module in the commercial software. …”
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Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida, Abdullah Berkay Bayindir, Sertac Bayhan, Haitham Abu-Rub

“…Unlike MPC, IMPC offers a significantly reduced computational burden by omitting the iterative computations of the cost functions and states predictions. …”
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Global-Mapping-Consistency-Constrained Visual-Semantic Embedding for Interpreting Autonomous Perception Models by Chi Zhang, Meng Yuan, Xiaoning Ma, Ping Wei, Yuanqi Su, Li Li, Yuehu Liu

“…In this case, a latent attribute dictionary learning method with constrained by mapping consistency is proposed to explain the performance variation patterns of visual perception intelligence under different test samples. By jointly iteratively solving the learning of latent concept representation for test samples and the regression of latent concept-generalization performance, the mapping relationship between deep representation, semantic attribute annotation, and generalization performance of test samples is established to predict the degree of influence of semantic attributes on visual perception generalization performance. …”
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Adaptive reuse for sustainable urban development: vertical farming in former department stores. German case study by Hanna Bonekämper, Hanna Bonekämper

“…Methods from the field of architecture were applied, including a site analysis followed by an iterative design process that progressed from conceptual planning to detailed development. …”
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A method for jamming waveform design in precision electronic warfare scenarios by Ke‐di Zhang, Qing‐song Zhou, Jing Wang, Jian‐yun Zhang, Zhi‐hui Li

“…Through a first‐order Taylor expansion, the optimisation problem is approximately transformed into a convex sequential cone programming problem, and jamming waveforms are obtained through an iterative solution method. Experiments showed that the jamming waveforms designed by this algorithm meet the energy distribution requirements of PREW scenarios, and at the same time, the jamming waveforms emitted by each transmitter are superimposed in the jamming area to produce a signal that can cover the target work bandwidth. …”
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Modelling Laser Milling of Microcavities for the Manufacturing of DES with Ensembles by Pedro Santos, Daniel Teixidor, Jesus Maudes, Joaquim Ciurana

“…Ensemble regression emerged as the most suitable technique for studying this industrial problem. Specifically, Iterated Bagging ensembles with unpruned model trees outperformed the other methods in the tests. …”
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A DELPHI TECHNIQUE APPROACH TOWARDS THE NEED FOR AND RELEVANCE OF CONSTRUCTION PROJECT MONITORING AND EVALUATION PRACTICES by Callistus TENGAN, Clinton AIGVABOA

“…Experts for the study were identified from the Ghanaian construction industry (quantity surveyors, architect, and engineers), research, and academic institutions of higher learning faculties in Ghana. After two iterative Delphi rounds, consensus was achieved on the need for and relevance of M&E to achieve project success as suggested by the experts during the Delphi process. …”
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Chinese Mathematical Knowledge Entity Recognition Based on Linguistically Motivated Bidirectional Encoder Representation from Transformers by Wei Song, He Zheng, Shuaiqi Ma, Mingze Zhang, Wei Guo, Keqing Ning

“…In order to improve the accuracy of mathematical knowledge entity recognition and provide effective support for subsequent functionalities, this paper adopts the latest pre-trained language model, LERT, combined with a Bidirectional Gated Recurrent Unit (BiGRU), Iterated Dilated Convolutional Neural Networks (IDCNNs), and Conditional Random Fields (CRFs), to construct the LERT-BiGRU-IDCNN-CRF model. …”
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Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis by J. J. Jamian, M. N. Abdullah, H. Mokhlis, M. W. Mustafa, A. H. A. Bakar

“…This is done through sharing information of particle position between the dimensions (variables) at any iteration. The strategy can enhance the exploration capability of the GPSO algorithm to determine the optimum global solution and avoid traps at the local optimum. …”
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High‐Throughput Electrospinning of Unmodified and Aminated Poly(Pentafluorostyrene) for Fiber‐Reinforced Proton Exchange Membranes by Muhammad Solihul Mu'min, Anja Krieger, Maximilian Wagner, Simon Thiele, Jochen Kerres

“…The controlled parameters are solvent composition, weight percentage, voltage, flow rate, and temperature, controlled with a self‐designed heating jacket. The parameters are iterated toward optimized fiber structure and maximum output. …”
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Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics by Sanqiang Yang, Meng Guo, Xinlei Liu, Pidong Wang, Qian Li, Haiqing Liu

“…The method can be effectively combined with the multi-index comprehensive detection index used in the specification. ② Based on the multi-index comprehensive test and evaluation adopted in the specification, the performance grade of the old road surface was quantitatively evaluated by the iterative calculation of fuzzy mathematics that broke through the evaluation mode which was based on the traditional detection methods. …”
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Bio-Inspired Jumping Spider Optimization for Controller Tuning/Parameter Estimation of an Uncertain Aerodynamic MIMO System by Ravi Samikannu, Oduetse Matsebe, David Ezekiel

“…The practical near impossibility of empirical attempts in estimating optimal controller gains makes the use of metaheuristics strategies inevitable to automatically obtain these gains by an iterative, heuristic simulation procedure. The convergence of the gains values to the local or global solutions occur with ease. …”
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Proton response and neutron spectrum unfolding by solution-grown trans-stilbene scintillator by Nguyen Duy Quang, H. J. Kim, Sunghwan Kim, Sinchul Kang, Phan Quoc Vuong, Phan Bao Quoc Hieu, Nguyen Kien Cuong, Y. S. Yoon, Uk-Won Nam

“…The unfolding was performed using the iterative Bayesian method without any constraints, smoothness, or assumption of prior knowledge of original spectra. …”
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Rapid lightsheet fluorescence imaging of whole Drosophila brains at nanoscale resolution by potassium acrylate-based expansion microscopy by Xuejiao Tian, Tzu-Yang Lin, Po-Ting Lin, Min-Ju Tsai, Hsin Chen, Wen-Jie Chen, Chia-Ming Lee, Chiao-Hui Tu, Jui-Cheng Hsu, Tung-Han Hsieh, Yi-Chung Tung, Chien-Kai Wang, Suewei Lin, Li-An Chu, Fan-Gang Tseng, Yi-Ping Hsueh, Chi-Hon Lee, Peilin Chen, Bi-Chang Chen

“…We also image nanometer-sized dopaminergic neurons across the same intact iteratively expanded Drosophila brain, enabling us to measure the 3D expansion ratio. …”
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Load Invariant CC and CV Modes for Static/Dynamic Wireless Charging System With Half-Bridge Multi-Leg Converter Topology by Aganti Mahesh, Bharatiraja Chokkalingam, Rajesh Verma, Lucian Mihet-Popa

“…The article presents a new method with fewer iterations to determine the optimal compensation parameters, ensuring that both the CC and CV outputs with ZPA comply with the SAE J2954 frequencies standards. …”
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Non-contact lensless holographic reconstruction of diffractive intraocular lenses profiles by Rosa Vila-Andrés, Anabel Martínez-Espert, Walter D. Furlan, José J. Esteve-Taboada, Vicente Micó

“…Besides, a study evaluating the convergence and robustness of the proposed iterative phase-retrieval routine based on a modified classical Gerchberg-Saxton algorithm is performed. …”
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An Approximation Solution to Refinery Crude Oil Scheduling Problem with Demand Uncertainty Using Joint Constrained Programming by Qianqian Duan, Genke Yang, Guanglin Xu, Changchun Pan

“…In this paper, an approximation method combines a relax-and-tight technique to approximately transform the joint chance constraints to a serial of parameterized linear constraints so that the complicated problem can be attacked iteratively. The basic idea behind this approach is to approximate, as much as possible, nonlinear constraints by a lot of easily handled linear constraints which will lead to a well balance between the problem complexity and tractability. …”
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