Strategies for inclusive playgrounds: a case study from Japan by Jia Wang, Yasuyuki Hirai, Yunkyu Lee

“…A user-centric approach was maintained throughout six activities, from initial sketches to iterative design improvements, leading to a comprehensive transformation plan. …”
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Shape optimization using a level set based mesh evolution method: an overview and tutorial by Dapogny, Charles, Feppon, Florian

“…This article revolves around a recent numerical framework for shape and topology optimization, which features an exact mesh of the shape at each iteration of the process, while still leaving the room for an arbitrary evolution of the latter (including changes in its topology). …”
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Calculation of Rotor Dynamic Coefficients for Labyrinth Seals by B. P. Williams, R. D. Flack

“…The method herein uses a unique iterative technique to first identify the mass flow rate based on pressure drops across the individual teeth, which is then used in the governing sets of continuity and momentum equations. …”
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Analysis of the Influence of Transmission Housing Elasticity on the Vibration Characteristics of Gear Shafting under Coupling Effect by Hanlin Huang, Shengping Fu, Shanming Luo

“…Furthermore, the gear shafting vibration characteristics considering housing deformations are obtained by integrating multisource dynamic excitation, which is solved using an iterative method. The results are verified through a bench test. …”
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A fruit fly optimization algorithm with a traction mechanism and its applications by Xing Guo, Jian Zhang, Wei Li, Yiwen Zhang

“…In traction fruit fly optimization algorithm, traction population consists of the worst individual recorded in the iterative process, the individual in the center of the interval, and the best fruit flies individual through different transformations, which is used to avoid the algorithm stopping at a local optimal. …”
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Study on Lubrication Characteristic of Rubber Bearing based on Viscoelasticity and Vibrative Load by Yabo Zhou, Youqiang Wang, Cong Wei, Shenwen Long

“…The multigrid method is adopted to solve the pressure, Newton iteration is adopted to solve the bottom layer and multigrid integral method is adopted to solve the elastic deformation in order to improve the convergence accuracy. …”
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Classification of Melanoma Cancer Using Deep Convolutional Neural Networks by Emrah Dönmez, Ali Güneş

“…The initial model featured a primary architecture, progressively refined by adding additional layers and filters to increase its complexity. This iterative enhancement aimed to improve the model’s capability to extract and analyze features from skin images. …”
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Fracture simulation of concrete beams to assess softening behavior by varying different fractions of aggregates by H. S. Vishwanatha, S. Muralidhara, B. K. Raghu Prasad

“…The work involves creating python script for iterative process of random distribution of aggregates with in the matrix using Monte Carlo method and creating Cohesive zone element for zero thickness ITZ. introduces a finite element modeling technique for investigating multiscale fracture characteristics. …”
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A new finite difference algorithm for boundary value problems involving transmission conditions by Semih Çavuşoğlu, Oktay Sh. Mukhtarov

“…The proposed modification of FDM differs from the classical FDM in calculating the iterative terms of numerical solutions. To demonstrate the efficiency and reliability of the proposed modification of FDM an illustrative example is solved b y this method. …”
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Radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism by Bei TANG, Qian WANG, Siguang CHEN

“…In order to fit the differentiated energy demands in vertical markets and ensure that internet of things (IoT) devices can hold an efficient and sustainable operation mode, a radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism was studied.Specifically, a system energy consumption minimization problem was formulated under the joint optimization consideration of computation offloading decision, uplink bandwidth resource allocation, downlink bandwidth resource allocation and base station power splitting.Meanwhile, by combining the concept of penalty function, a new evaluation index was introduced, and then an adaptive particle swarm optimization-based collaborative energy saving computation offloading (APSO-CESCO) algorithm was proposed to solve the problem.The proposed algorithm constructed dynamic inertia weight and linearly adjusted penalty factor, which could alternate the spatial distribution density of the particle community in real-time during the iterative search process, and the optimal computation offloading policy with tolerable punishment could be well-generated.Furthermore, to prevent particles from exceeding exploration range, the velocity boundary was introduced which could also reduce the generation probability of invalid solutions and improve the actual exploration effectiveness.Finally, the simulation results show that the proposed algorithm can achieve higher convergence efficiency and solution accuracy, and compared with other common benchmark schemes, the system energy consumption can be reduced by 34.09%, 14.72%, and 6.86%, respectively.…”
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Distributed Task Offloading Game in Multiserver Mobile Edge Computing Networks by Shuang Chen, Ying Chen, Xin Chen, Yuemei Hu

“…The experimental results show that the MPOD algorithm can converge after a limited number of iterations and can obtain the offloading strategy with lower cost.…”
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Operational use of electronic records in police work by Erik Borglund

“…</b> The empirical data were analysed using a hermeneutical analysis technique without computer-based support. Iterative analysis was performed, where empirical data related to the use of electronic records were identified and grouped together into larger categories, which were named descriptively. …”
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StreetSurfaceVis: a dataset of crowdsourced street-level imagery annotated by road surface type and quality by Alexandra Kapp, Edith Hoffmann, Esther Weigmann, Helena Mihaljević

“…More precisely, we estimate the impact of (1) enriching the image data with OpenStreetMap tags, (2) iterative training and application of a custom surface type classification model, (3) amplifying underrepresented classes through prompt-based classification with GPT-4o and (4) similarity search using image embeddings. …”
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Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers by Rui Yang, Hong Jiang, Qi Zhang, Liangdong Qu

“…Due to the decomposability of ADMM, only a few quadratic programming subproblems need to be solved during each iteration in the authors' algorithm, which reduces the computational complexity. …”
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Oscillation Criteria for Second-Order Delay, Difference, and Functional Equations by L. K. Kikina, I. P. Stavroulakis

“…Consider the second-order linear delay differential equation x′′(t)+p(t)x(τ(t))=0, t≥t0, where p∈C([t0,∞),ℝ+), τ∈C([t0,∞),ℝ), τ(t) is nondecreasing, τ(t)≤t for t≥t0 and limt→∞τ(t)=∞, the (discrete analogue) second-order difference equation Δ2x(n)+p(n)x(τ(n))=0, where Δx(n)=x(n+1)−x(n), Δ2=Δ∘Δ, p:ℕ→ℝ+, τ:ℕ→ℕ, τ(n)≤n−1, and limn→∞τ(n)=+∞, and the second-order functional equation x(g(t))=P(t)x(t)+Q(t)x(g2(t)), t≥t0, where the functions P, Q∈C([t0,∞),ℝ+), g∈C([t0,∞),ℝ), g(t)≢t for t≥t0, limt→∞g(t)=∞, and g2 denotes the 2th iterate of the function g, that is, g0(t)=t, g2(t)=g(g(t)), t≥t0. …”
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Architectural planning robot driven by unsupervised learning for space optimization by Zhe Zhang, Yuchun Zheng

“…The spatial attention mechanism focuses the model on key areas within the architectural space, clustering identifies functional zones, and state refinement iteratively improves the spatial layout by adjusting based on learned patterns. …”
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Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils by Alhadi E. Alamir, Gomah E. Nenaah, Mohamed A. Hafiz

“…A generalized inverse matrix technique was used to estimate the mortality model parameters instead of the usual statistical iterative maximum likelihood estimation. As this technique needs to perturb the observed mortality proportions if the proportions include 0 or 1, the optimal perturbation in terms of minimum least squares ($L_2$) error was also determined. …”
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Endoatmospheric Ascent Optimal Guidance with Analytical Nonlinear Trajectory Prediction by Shilei Zhao, Wanchun Chen, Liang Yang

“…Therefore, the resulting analytical solutions are the nonlinear functions of high order terms of arbitrary AOA values discretized in Chebyshev-Gauss-Legendre points, which has high accuracy. Secondly, an iterative correction scheme using analytical gradient is proposed to solve the endoatmospheric ascent optimal guidance problem, in which the dynamical constraint is enforced by the resulting analytical solutions. …”
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FAST ADAPTIVE GENERALIZED PREDICTIVE CONTROL FOR SYSTEMS WITH VARIABLE PARAMETERS by S. B. ROVEA, RODOLFO FLESCH

“…The proposed controller is based on the Generalized Predictive Control (GPC) algorithm, but it integrates the recursive least squares identification method with a variable forgetting factor to estimate at each iteration the parameters of a linear structure model used for multi-step ahead prediction. …”
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A Multicriteria Analysis to Integrate Stakeholder Perceptions of Ecosystem-Based Flood Adaptations in Coastal Urban Areas by Mar Riera-Spiegelhalder, Luís Campos Rodrigues, Adrián Ferrandis Martínez

“…Living lab enables innovative solutions to specific problems to be defined, designed and created through a social-iterative approach. MCA is a suitable decision-making tool, as it allows qualitative parameters to be quantified and evaluation criteria to be weighted. …”
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