Optimizing Generative Design for Cam Curve Through NURBS Approach based on Objective Constraint by Li Linwen, Lu Bo, Xiao Yang, Zhao Zhe

“…A general searching method is presented for the optimum generative design of a cam curve.This method involves the use of Non Uniform Rational B- Splines（ NURBS） outputs for representing the follower motions,namely as displacement,velocity and acceleration. Using a numerical iterative approach optimized in a constraint and objective function set,the optimum design is obtained by simultaneously adjusting the multiple control points and weights of the NURBS parameters. …”
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Computer simulation of stress-strain states in zygomatic bones after complex installation of implants by Timur Dibirov, Aleksey Drobyshev, Eduard Kharazyan, Nikolay Redko, Egor Pankov, Alexander Kozulin, Sergey Panin, Sergey Arutyunov

“…Based on the results of the FEM-based computer simulation, the algorithm was proposed for planning prosthetic treatment, which involves the iterative method for selecting both size and location of installing zygomatic implants depending on the results of the SSS calculation and the onset of a critical condition (primarily in bone tissue at the contact area with zygomatic implants).…”
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Optimization Design of Mountain and Water Landscape of Traditional Mountain Village Based on New Robot Visual Technology by Xinxin Jia, Ruixin Liu, Zhi Qiao

“…The interior points obtained after this algorithm are used to estimate the relative adjacent poses of the new robot in the operation of the least squares method, so as to make certain improvements to the ICP (iterative closest point) algorithm, making it useful for accurate aiming pairing. …”
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A Lightweight Conditional Diffusion Segmentation Network Based on Deformable Convolution for Surface Defect Detection by Jiusheng Chen, Yibo Zhao, Haibing Wang

“…First, the conditional diffusion process is introduced for effective feature extraction; by gradually corrupting the defect images and recovering them from latent space, the model can obtain pixel-level segmentation results in an iterative process. Second, the efficient feature extraction block is proposed to address the problem of modeling varying defects, which is designed with a partial deformable convolutional layer that can fully extract geometric features of the diverse defects to further enhance the modeling power of the proposed network. …”
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Application of Gap Metric to LADRC Design in Multilinear Model of SDR by Hongfu Wang, Qinghua Zeng, An Wang, Zongyu Zhang

“…In this paper, under the LADRC frame, the gas generator system’s closed-loop stability of the SDR was analyzed and the range of compensation factors had been calculated, and then, the “gap factor” was introduced and the “cross-iteration” method was used to quickly map out the “compensation factor” in the multilinear model controller based on the variation of the zero-point position of the system and the gap metric between adjacent set points. …”
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Methods for Constructing Artificial Neural Networks for Data Classification by L. V. Serebryanaya

“…An algorithm is presented that reflects the iterative process of its training. In the second case, the network is built automatically by applying a genetic algorithm. …”
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Forward Kinematics Solution of Stewart Platform based on Improved Non-dominated Sorting Genetic Algorithm by Qiguo Hu, Yanli Luo, Yuqian Wang

“…According to the example calculating， this algorithm can export the best forward solution within 102 iterations， the output time of a single result is less than 1 min. …”
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Automatic modulation recognition algorithm for MQAM signal by Huadi ZHANG, Huaxun LOU

“…An automatic modulation recognition algorithm for MQAM signal was proposed.Firstly,the feature parameter F based on the fourth order cumulants was constructed to classify the square QAM and the cross QAM.Secondly,the compactness of zero center normalized instantaneous amplitude was calculated to identify the 16QAM from the square QAM.Thirdly,the baud rate was estimated by frequency spectrum of amplitude square,and timing was synchronized to delete the ISI and resume the relatively ideal constellations.And aiming at the 32QAM and the 128QAM,two different clustering radii were set,and clustering point density was got respectively by the subtractive clustering algorithm,and then the 32QAM and the 128QAM was classified depending on the difference of density value.In the same way,the 64QAM and the 256QAM were classified.The proposed algorithm can recognize five kinds of QAM signals，including 16QAM signals,32QAM signals,64QAM signals,128QAM signal and 256QAM signal without prior knowledge of frequency and baud rate.Furthermore,the proposed algorithm does not need complex iterative process,which can be applied in practical signal recognition.…”
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Learning predictive signatures of HLA type from T-cell repertoires. by María Ruiz Ortega, Mikhail V Pogorelyy, Anastasia A Minervina, Paul G Thomas, Thierry Mora, Aleksandra M Walczak

“…Using our TCR-HLA associations, we trained a computational model to predict the HLA type of individuals from their TCR repertoire alone. We propose an iterative procedure to refine this model by using data from large cohorts of untyped individuals, by recursively typing them using the model itself. …”
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Failed Zero Forcing Numbers of Trees and Circulant Graphs by Luis Gomez, Karla Rubi, Jorden Terrazas, Rigoberto Florez, Darren A. Narayan

“…The forcing rule is as follows: if a vertex $v$ is in $S$, and exactly one neighbor $u$ of $v$ is not in $S$, then $u$ is added to $S$ in the next iteration. Zero forcing numbers have attracted great interest over the past 15 years and have been well studied. …”
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Block-Wise Two-Dimensional Maximum Margin Criterion for Face Recognition by Xiao-Zhang Liu, Guan Yang

“…The proposed method, namely, block-wise two-dimensional maximum margin criterion (B2D-MMC), aims to find local subspace projections using unilateral matrix multiplication in each block set, such that in the subspace a block is close to those belonging to the same class but far from those belonging to different classes. B2D-MMC avoids iterations and alternations as in current bilateral projection based two-dimensional feature extraction techniques by seeking a closed form solution of one-side projection matrix for each block set. …”
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Joint design scheme of resource allocation for intelligent reflecting surface assisted millimeter wave NOMA system by Sai ZHAO, Zhangchen ZOU, Gaofei HUANG, Dong TANG

“…In order to further improve the spectral efficiency of intelligent reflecting surface (IRS)-assisted millimeter wave non-orthogonal multiple access (NOMA) system, a joint design scheme of user clustering, successive interference cancellation (SIC) decoding order, transmit power allocation, analog beam selection and IRS phase shifting was investigated, under the transmit power constraint, SIC decoding rate constraint, beam selection constraint, SIC decoding order constraint, user rate constraint, and IRS phase shift constraint, aiming at maximizing system sum rate.Because of the coupling of discrete variables, combinatorial variables and continuous variables in objective function and constraints, the formulated optimization problem was difficult to solve by traditional optimization methods.To solve it, first the SIC decoding sequence variables were transformed into binary discrete variables through a query table, then the discrete variables and continuous variables were decoupled based on the hybrid whale optimization algorithm, and delt with the optimization constraints based on the penalty function method, and the non-convex optimization problem was transformed into a heuristic problem for iterative solution.Simulation results verify the effectiveness of the proposed scheme.…”
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Refining Established Practices for Research Question Definition to Foster Interdisciplinary Research Skills in a Digital Age: Consensus Study With Nominal Group Technique by Jana Sedlakova, Mina Stanikić, Felix Gille, Jürgen Bernard, Andrea B Horn, Markus Wolf, Christina Haag, Joel Floris, Gabriela Morgenshtern, Gerold Schneider, Aleksandra Zumbrunn Wojczyńska, Corine Mouton Dorey, Dominik Alois Ettlin, Daniel Gero, Thomas Friemel, Ziyuan Lu, Kimon Papadopoulos, Sonja Schläpfer, Ning Wang, Viktor von Wyl

“…This often entails merging the linear deductive approach of health research with the explorative iterative approach of data science. However, there is a lack of structured teaching courses and guidance on how to effectively and constructively bridge different disciplines and research approaches. …”
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HPPQ: A Parallel Package Queries Processing Approach for Large-Scale Data by Meihui Shi, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu

“…This improves the quality of the candidate results in the iterative stage and improves the convergence rate of the heuristic algorithm. …”
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Standardized patient profile review using large language models for case adjudication in observational research by Martijn J. Schuemie, Anna Ostropolets, Aleh Zhuk, Uladzislau Korsik, Seung In Seo, Marc A. Suchard, George Hripcsak, Patrick B. Ryan

“…Using zero-shot prompting and iterative prompt optimization, we found LLM performance, across ten diseases, varied by prompt and model, with sensitivities from 78 to 98% and specificities from 48 to 98%, indicating promise for automating phenotype evaluation.…”
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Accelerated enzyme engineering by machine-learning guided cell-free expression by Grant M. Landwehr, Jonathan W. Bogart, Carol Magalhaes, Eric G. Hammarlund, Ashty S. Karim, Michael C. Jewett

“…Our ML-guided, cell-free framework promises to accelerate enzyme engineering by enabling iterative exploration of protein sequence space to build specialized biocatalysts in parallel.…”
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Software Project Risk Identification Based on Scrum Artifacts by Lina Bisikirskienė, Lina Čeponienė, Gytis Vilutis, Adelė Nečionytė

“…However, risk management in Scrum often lacks structured practices, relying instead on the iterative and collaborative nature of the methodology. …”
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The approximate lag and anticipating synchronization between two unidirectionally coupled Hindmarsh-Rose neurons with uncertain parameters by Bin Zhen, Ya-Lan Li, Li-Jun Pei, Li-Jun Ouyang

“…The precise condition for lag synchronization is deduced analytically, utilizing the Laplace transform and convolution theorem, alongside the iterative approach within the framework of Volterra integral equations theory. …”
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A Decomposition-Based Evolutionary Algorithm with Neighborhood Region Domination by Hongfeng Ma, Jiaxu Ning, Jie Zheng, Changsheng Zhang

“…In order to adequately acquire a high-quality set of solutions, this algorithm requires a large number of population iterations, which in turn results in relatively low computational efficiency. …”
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A Physics-Based Simulation of Fluid–Solid Coupling Scenarios in an Ocean Visual System by Yiding Wang, Hongxiang Ren, Xiao Yang, Delong Wang

“…Based on the SPH method, the water particles are constrained in each iteration according to the two physical fields of velocity divergence and density by setting an intermediate velocity. …”
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