A review of the role of nature-based solutions in mitigating food insecurity in Africa by Solomon Asamoah, Henry Mensah, Eric Kwame Simpeh, Eric Oduro-Ofori, Sandra Serwaa Boateng, Sarah Boateng, Listowel Koda Frimpong, Priscilla Okyere

“…Abductive reasoning was employed to analyze the collected data, which were then subjected to thematic analysis using an iterative read-and-review procedure. The study identified agroforestry, permaculture practices, urban agriculture and rooftop gardens, wetland restoration, cover cropping and crop rotation, aquaponics, eco-friendly pest control, and community-based forest management as components of nature-based solutions that can help address food insecurity. …”
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Dynamic Processes, Fixed Points, Endpoints, Asymmetric Structures, and Investigations Related to Caristi, Nadler, and Banach in Uniform Spaces by Kazimierz Włodarczyk, Robert Plebaniak

“…Moreover, using these new structures, the single-valued contractions of two kinds of Banach type are defined and the new and general versions of the Banach uniqueness and iterate approximation of fixed point theorem for uniform spaces are established. …”
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Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm by Yangjinyu Li, Li Zou, Zhengjie Zhu

“…The welded joint's fatigue decision system is built with fatigue data. The continuous iteration of the firefly algorithm is used as the search strategy, the neighborhood rough set is adopted to decrease attributes, and the major deciding elements of welded joints' fatigue life is identified. …”
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Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform by Shanshan Chen, Bensheng Qiu, Feng Zhao, Chao Li, Hongwei Du

“…In this paper, we propose a CS-based reconstruction scheme, which combines complex double-density dual-tree discrete wavelet transform (CDDDT-DWT) with fast iterative shrinkage/soft thresholding algorithm (FISTA) to efficiently reduce such visual artifacts. …”
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FCM-Type Fuzzy Coclustering for Three-Mode Cooccurrence Data: 3FCCM and 3Fuzzy CoDoK by Katsuhiro Honda, Yurina Suzuki, Seiki Ubukata, Akira Notsu

“…In this paper, two FCM-type fuzzy coclustering models, that is, FCCM and Fuzzy CoDoK, are extended for revealing intrinsic cocluster structures from three-mode cooccurrence data, where the aggregation degree of three elements in each cocluster is maximized through iterative updating of three types of fuzzy memberships for objects, items, and ingredients. …”
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Model-Based ILC with a Modified Q-Filter for Complex Motion Systems: Practical Considerations and Experimental Verification on a Wafer Stage by Fazhi Song, Yang Liu, Jun Cao, Li Li, Jiubin Tan

“…Iterative learning control (ILC) is one of the most popular tracking control methods for systems that repeatedly execute the same task. …”
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Faster-Than-Real-Time Simulation of Lithium Ion Batteries with Full Spatial and Temporal Resolution by Sandip Mazumder, Jiheng Lu

“…The governing conservation equations of mass, charge, and energy are discretized using the finite volume method and solved using an iterative procedure. The model is first successfully validated against experimental data for both charge and discharge processes in a LixC6-LiyMn2O4 battery. …”
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High Contact Ratio Design and Meshing Performance Comparison for Spiral Bevel Gear by Jinzhan Su, Gang Wei, Yu Yang, Lehao Chang, Jiashun Guo

“…The design contact ratio， transmission error amplitude and symmetry of spiral bevel gear pair are preset， contact paths of the inner diagonal and along the face width with large contact ratio are obtained by iteratively optimizing the local synthesis parameter. …”
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Network Efficient Power Control for Wireless Communication Systems by Daniel U. Campos-Delgado, Jose Martin Luna-Rivera, C. J. Martinez-Sánchez, Carlos A. Gutierrez, J. L. Tecpanecatl-Xihuitl

“…For this purpose, the concavity property of the utility function was verified with respect to the SINR, and an iterative search was proposed with guaranteed convergence. …”
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Robust identification for input non‐uniformly sampled Wiener model by the expectation‐maximisation algorithm by Qibing Jin, Zeyu Wang

“…The variance scale is regarded as a unique latent variable, and the iterative parameter estimation formula of the non‐uniform sampling Wiener model is derived. …”
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Non-Invasive Techniques for Monitoring Cultural Heritage: Change Detection in Dense Point Clouds at the San Pietro Barisano Bell Tower in Matera, Italy by Carmen Fattore, Sara Porcari, Arcangelo Priore, Vito Domenico Porcari

“…The investigation uses a variety of change detection algorithms, including the Iterative Closest Point (ICP) algorithm, which is renowned for its robust registration capabilities in aligning point clouds with high accuracy. …”
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Gradient-Based Algorithms With Intermediate Observations in Static and Differential Games by Mohammad Safayet Hossain, Marwan A. Simaan, Zhihua Qu

“…In this paper, we propose an approach in which each player implements an iterative discrete-time gradient-based algorithm that relies only on intermediate either current or prior observations about the other player’s actions. …”
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Modified complex multitask Bayesian compressive sensing using Laplacian scale mixture prior by Qilei Zhang, Lei Yu, Feng He, Yifei Ji

“…More importantly, the authors not only present the iterative algorithm but also develop the sub‐optimal fast implementation method based on the marginal likelihood maximisation, which dramatically reduce the computational complexity. …”
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A Support Vector Machine Model with Hyperparameters Optimised by Mind Evolutionary Algorithm for Assessing Permeability of Rock by Wenjin Zhu, Zhiming Chao, Guotao Ma

“…MEA can increase the predictive accuracy of the constructed machine learning models remarkably in a few iteration times, which has better optimisation performance than that of GA and PSO. …”
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Obstacles Regions 3D-Perception Method for Mobile Robots Based on Visual Saliency by Tao Xu, Songmin Jia, Zhengyin Dong, Xiuzhi Li

“…The salience binarization region abstraction was fulfilled by improved PCNN multiple iterations finally. Finally, the binarization area was mapped to the depth map obtained by Kinect sensor, and mobile robot can achieve the obstacle localization function. …”
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An improved sparrow search algorithm with multi-strategy integration by Zongyao Wang, Qiyang Peng, Wei Rao, Dan Li

“…Finally, a proposed random opposition-based learning strategy (ROBLS) is applied to the population after each iteration to enhance its diversity. To verify MISSA’s effectiveness, extensive testing is conducted on 24 benchmark functions as well as CEC 2017 functions. …”
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RESEARCH ON DYNAMIC MODELING AND DYNAMIC CHARACTERISTICS OF PEELING GEAR BASED ON DYNAMIC MESH FORCE STIFFNESS by CAO Zheng, XIA Yang, XU BoYu, LI GuiHua, HE ChangBo, LIU YongBin

“…The meshing stiffness is calculated through the coupling of dynamic load and dynamic model of gear. The numerical iterative method of Euler-Cromer was used to solve the dynamic equations of gear. …”
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NONLINEAR VIBRATION RESEARCH OF STRIP STEEL WITH CONSIDERATION OF TORSIONAL VIBRATION OF MAIN DRIVE SYSTEM OF ROLLING MILL by GAO ChongYi, DU GuoJun, LI Rui, LIU XiaoMan

“…Then, the nonlinear vibration differential equations of the coupled model were derived with Hamilton’s principle. The modified iteration method and the Kantorovich averaging method were used to solve the differential equations. …”
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A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm by Wanxing Sheng, Ke-yan Liu, Yongmei Liu, Xiaoli Meng, Xiaohui Song

“…The improved Pareto evolutionary algorithm, which introduces a penalty factor in the objective function constraints, uses an adaptive crossover and a mutation operator in the evolutionary process and combines a simulated annealing iterative process. The proposed algorithm is utilized to the optimize DG injection models to maximize DG utilization while minimizing system loss and environmental pollution. …”
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Holomorphic embedding method for large-scale reverse osmosis desalination optimization by Junzhi Chen, Tao Wang, Jiu Luo, Hongbo Chen, Yi Heng

“…Without solving nonlinear differential equations at each discrete point by a traditional small-step iteration approach, the proposed method determines the solution through an approximation function or approximant within segmented computational domain independently. …”
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