A Novel Artificial Bee Colony Algorithm Based on Internal-Feedback Strategy for Image Template Matching by Bai Li, Li-Gang Gong, Ya Li

“…Besides that, we also suggest efficiently utilizing the internal convergence states as feedback guidance for searching intensity in the subsequent cycles of iteration. We have investigated four ideal template matching cases as well as four actual cases using different searching algorithms. …”
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Coincidence Detection Using Spiking Neurons with Application to Face Recognition by Fadhlan Kamaruzaman, Amir Akramin Shafie, Yasir M. Mustafah

“…This classifier uses coincidence detection (CD) strategy trained in supervised manner using a novel supervised learning method called τs Prediction which adjusts the precise timing of output spikes towards the desired spike timing through iterative adaptation of τs. This paper also discusses the approximation of spike timing in Spike Response Model (SRM) for the purpose of coincidence detection. …”
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A Midcourse Guidance Method Combined with Trajectory Prediction for Antinear-Space-Gliding Vehicles by JiaQing Wan, Qian Zhang, Hao Zhang, JiaNing Liu

“…For the calculation of the starting time of the boost phase, the optimization solution satisfying the remaining flight time constraint is realized based on the Newton-Raphson iterative method. The analytical expression of a guidance command based on zero-error-miss/zero-error-velocity is established on the basis of the optimal control theory to provide an optimal flight path guiding an NSGV fly toward a point of interception. …”
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Engineering Pedagogy as the Basis for Effective Teaching Competencies of Engineering Faculty by T. Rüütmann

“…The basic didactic model of Engineering Pedagogy Science follows the principles of an iterative process, being an effective tool for the design of a study program, curriculum, syllabus, course, or a lecture with the aim of effective teaching engineering. …”
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Design of a Multi-Layer Symmetric Encryption System Using Reversible Cellular Automata by George Cosmin Stănică, Petre Anghelescu

“…By dividing plaintext into 128-bit blocks, the algorithm performs iterative transformations over multiple rounds. Each round includes forward or backward evolution steps, along with dynamically computed shift values and reversible transformations to securely encrypt or decrypt data. …”
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Harmonization and Verification of Three National European Icing Forecast Models Using Pilot Reports by Christoph Knigge, Katie Bennett, Christine Le Bot, Mara Gehlen-Zeller, Svenja Koos

“…The concluding results show that the most complex combination approach, which uses iteratively optimized weighting factors for each model, provides the best forecast quality according to the PIREPs. …”
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Commentary on "Preliminary Species Hypotheses" in Entomological Taxonomy: A Global Data and FAIR Infrastructure Perspective by Sharif Islam

“…What if early taxonomic findings were treated like preprints, open to iterative improvement or managed with practices from the open-source community, such as Git branching, merging and patch management? …”
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A Novel Multivariate Spectral Local Quasilinearization Method (MV-SLQLM) for Modelling Flow, Moisture, Heat, and Solute Transport in Soil by Elias Mwakilama, Vusi Magagula, Duncan Gathungu

“…We use the residual error norms of the difference between successive iterations to affirm convergence to the expected solution. …”
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Enhanced Stochastic Models for VLBI Invariant Point Estimation and Axis Offset Analysis by Chang-Ki Hong, Tae-Suk Bae

“…The analysis revealed significant measurement variability, particularly in slant distance measurements involving prisms. Iterative refinement of the variance components improved the reliability of the IVP and antenna axis offset estimates. …”
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High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System by Manob Jyoti Saikia, Rajan Kanhirodan, Ram Mohan Vasu

“…The reconstruction time, so achieved for one iteration of the DOT reconstruction for 14610 elements, is 0.52 seconds for a C based GPU program for 2-plane measurements. …”
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An Improved Predictor-Corrector Guidance Algorithm for Reentry Glide Vehicle Based on Intelligent Flight Range Prediction and Adaptive Crossrange Corridor by Mingjie Li, Chijun Zhou, Lei Shao, Humin Lei, Changxin Luo

“…For traditional predictor-corrector guidance algorithm for reentry glide vehicle, it cost a lot of time to obtain predicted flight range with a slow speed to iterate. In this paper, according to residual network (ResNet)’s block and dynamic model of vehicle, through analyzing the characteristics of predicted flight range with constraints, the flight range prediction block and flight range prediction neural network are designed, which can obtain the predicted range accurately and quickly; then aiming at the separation between guidance logic and no-fly zone avoidance logic, which may lead to guidance failure and increasing of the sign variation number of the bank angle, the no-fly zone crossrange and the no-fly zone mapping crossrange are proposed in this paper. …”
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Investigation and Development of a Three-Dimensional Transmission Tower-Line System Model Using Nonlinear Truss and Elastic Catenary Elements for Wind Loading Dynamic Simulation by Xiao Zhu, Ge Ou

“…Elastic catenary element establishes an analytical formulation for cable structure under distributed loading; however, the nonlinear iteration to reach convergence can be computational expensive. …”
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Development of a Hybridized Model for Predicting the Life Span of Power Transformers by O.O. Olaluwoye, A.A. Okubanjo, O.K. Oyetola, P.O. Alao, O.G. Olasunkanmi

“…These parameters were used in developing a DP model using Jacobi and Gauss Seidel numerical analysis iterative techniques. The techniques were implemented in Matrix Laboratory 8.2 (R2013b)  environment. …”
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3D Computation of Lightning Leader Stepped Propagation Inside a Realistic Cloud by Dessante, Philippe

“…After each step, the electric potential is recalculated, and a new iteration gives a new direction. This framework permits us to analyse diverse cloud configurations. …”
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Doctor! Did you Google my symptoms? A qualitative study of patient perceptions of doctors’ point-of-care information seeking by Mieke L van Driel, Isaac Tranter, Ben Mitchell

“…The interviews were analysed through a process of iterative thematic analysis using the framework of Braun and Clarke.Participants The 16 participants were purposively sampled including 5 men and 11 women from a diverse range of educational and age groups.Results How a doctor’s need to look up information impacted patient impressions of competence and trust was an overarching theme. …”
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Alcohol policies in India: A scoping review. by Jaclyn Schess, Lydia Bennett-Li, Richard Velleman, Urvita Bhatia, Alexander Catalano, Abhijeet Jambhale, Abhijit Nadkarni

“…We did this though a scoping review of academic and grey literature, which helped to iteratively identify the websites of 15 international organizations, 21 Indian non-governmental organizations, and eight Indian Federal governmental organizations as well as State/Union Territory government sites, to search for relevant policy documents. …”
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Applying a reproducible research approach to distance education by M. A. Eremeev, O. V. Trubienko, I. I. Zakharchuk

“…Agile project management methodologies such as Scrum, along with Infrastructure-as-Code approaches in information and telecommunication infrastructure management, and Documentation-as-Code approaches in documentation development, aim to present design, development, testing, and documentation as short cycle iterative processes to permit the rapid and transparent addition of new product value in discrete portions. …”
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Bearing Fault Diagnosis Based on Parameter Optimized VMD and ELM with Improved SSA by Yang Sen, Wang Hengdi, Cui Yongcun, Li Chang, Tang Yuanchao

“…Firstly, the optimization step size of SSA is adaptively changed according to the fittness function value and the number of iterations. Secondly, the improved SSA optimizes the important parameters (decomposition number <italic>K</italic> and penalty factor <italic>α</italic>) of the VMD algorithm, and the fittness function adopts the minimum envelope entropy. …”
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Research on Parameter-Efficient Knowledge Graph Completion Methods and Their Performance in the Cybersecurity Field by Bin Chen, Hongyi Li, Ze Shi

“…Additionally, we propose a path-enhanced cosine similarity measurement method to measure the similarity between entities, and a graph attention network is employed to iteratively update the embeddings of entities and relations, capturing key information in the graph-structured data. …”
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Transport demand as a function of the state of a transport network by T. Sakulyeva

“…They reveal the interrelation of the various steps of the modeling process and the need to use iterative methods of calculation. The functionality of the model is determined by the presence of feedbacks, which increase the ability of the model to predict actual results. …”
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