Integral Method for Determining the Stress State of an Anisotropic Reinforced Concrete Shell by Eugene M. Zveryaev

“…The most important result of the study is the method of constructing integrals of the ground stress state of the shell based on the method of simple iterations, which expands the possibilities of the reliability theory, which makes it possible to build the foundations for the practical calculation of reinforced concrete shells according to the membrane theory and the theory of infinitesimal bending.…”
Get full text

Optimization Control of Cooperative Trajectory towards Dual Arms Based on Time-Varying Constrained Output State by Hui Zhang, Wenbin Zha, Xiangrong Xu, Yongfei Zhu

“…Using random probability distribution to extract the interpolation features of nonuniform quintic B-spline trajectory, the feature optimization target is selected, and the Newton numerical algorithm is used for iterative optimization. At the same time, it is combined with an elite retention genetic algorithm to further optimize the target. …”
Get full text

STABILITY ANALYSIS OF SPHERICAL HYBRID SLIDING BEARINGS CONSIDERING BOUNDARY SLIP STATE by CHENG Pan, SHEN JingFeng, QIN Wei, XUE Hao, ZHU Rui

“…For the transient Reynolds equation in the boundary slipstate, the equation uses the small perturbation method to derive the partial differential equation of the perturbation pressure, and combines the finite difference method and the relaxation iterative method to solve the equation to obtain the stiffness and damping coefficient of the ball bearing under the state of boundary slip, and then establish the shafting trajectory equation to solve the instability speed. …”
Get full text

Artificial Intelligence in Robotic Manipulators: Exploring Object Detection and Grasping Innovations by Montassar Aidi Sharif, Hanan Hameed Ismael, Muamar Almani Jasim, Farah Zuhair Jasim

“…By integrating the iterations of the You Only Look Once (YOLO) algorithm with deep learning models, our study not only advances the innovations in robotic perception but also significantly improves the accuracy of robotic grasping in dynamic environments. …”
Get full text

Primordial Germ Cells Quality of Chicken Embryo from Post Cryopreservation Blood Samples by Nurul Azizah, Tatan Kostaman, Yuli Arif Tribudi, Diana Andrianita Kusumaningrum, Suyatno Suyatno, Zultinur Muttaqin, Eko Koswara, Muhammad Gunawan

“…The experimental design encompassed two treatment groups, each iterated six replication. Blood samples that had been filled with 500 µL of phosphate-buffered saline without Ca2+ and Mg2+ (PBS) underwent centrifugation at 1200 rpm for six minutes. …”
Get full text

Algorithm and Hardware Design of a Fast Intra Frame Mode Decision Module for H.264/AVC Encoders by Daniel Palomino, Guilherme Corrêa, Cláudio Diniz, Sergio Bampi, Luciano Agostini, Altamiro Susin

“…The application of the proposed algorithm reduces in more than 10 times the number of encoding iterations for choosing the best intramode when compared with RDO-based decision. …”
Get full text

Convergence-Driven Adaptive Many-Objective Particle Swarm Optimization by Yunfei Yi, ZhiYong Wang, Yunying Shi, Zhengzhuo Song, Binbin Zhao

“…This algorithm introduces a convergence metric to assess the convergence status and solution distribution quality of the particle swarm during iterations. Based on this metric, Convergence-Aware Learning Factor Adjustment (CALFA), Convergence-Oriented Dimension Variation Strategy (CODVS), and Convergence-Driven Archive Maintenance (CDAM) operations are proposed. …”
Get full text

Cognitive load and neurodiversity in online education: a preliminary framework for educational research and policy by Anne-Laure Le Cunff, Brandon-Lee Martis, Caitlin Glover, Emily Ahmed, Rhian Ford, Vincent Giampietro, Eleanor J. Dommett

“…Drawing from cognitive load theory and neurodiversity studies, the framework is based on existing literature, empirical work conducted by the authors, and iterative feedback from a participatory research advisory board. …”
Get full text

WiFi Indoor Positioning Based on EGA-PF and Fernet Algorithm by Yanchun Wang, Shaoye Sun, Fengjuan Miao, Ying Xia

“…Firstly, in response to the challenge of balancing positioning time and accuracy, the extreme learning machine (ELM) does not require iterative adjustment of the weights of the hidden layer, allowing it to achieve high positioning accuracy in a short time, but the difficulty in adjusting the parameters restricts the development of the ELM, with each partial parameter of the ELM as an individual, the genetic algorithm (GA) uses operations such as crossover, compilation and selection to optimize until the system performance is met continuously. …”
Get full text

Fractal analysis and microstructure development PVDF based multifunctional material by Peleš-Tadić Adriana, Vuković George, Kojović Aleksandar, Stojanović Dušica, Vlahović Branislav, Obradović Nina, Pavlović Vladimir

“…Fractal analysis has been performed by using scanning electron microscope micrographs and computational modeling tools. Theory of Iterated Function Systems and Voronoi tessellation, have been used for modeling PVDF porous structures. …”
Get full text

Interference Mitigation and Collision Avoidance of Dynamic UAVBSs Network via Mobility Control: A Game Theoretic Approach by Omar Ali Thabet, Didem Kivanc Tureli, Ufuk Tureli

“…Under this scenario, the UAVBSs-Better Direction Control (UAVBSs-BDC) algorithm works iteratively based only on the UAV utility function with linear time to directly optimize the action selection based on the UAVBS’s utility. …”
Get full text

Adaptation and Feasibility Study of a Digital Health Program to Prevent Diabetes among Low-Income Patients: Results from a Partnership between a Digital Health Company and an Acade... by Valy Fontil, Kelly McDermott, Lina Tieu, Christina Rios, Eliza Gibson, Cynthia Castro Sweet, Mike Payne, Courtney R. Lyles

“…The collaboration between researchers and a digital health company enabled iterative improvements in technology implementation to address challenges in low-income populations.…”
Get full text

Predicting conversion to psychosis using machine learning: response to Cannon by Jason Smucny, Tyrone D. Cannon, Tyrone D. Cannon, Carrie E. Bearden, Carrie E. Bearden, Jean Addington, Kristen S. Cadenhead, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Diana O. Perkins, William Stone, Elaine F. Walker, Scott W. Woods, Scott W. Woods, Ian Davidson, Cameron S. Carter

“…In this report we tested for model generalization using the previous iteration of NAPLS-3, the NAPLS-2, using the identical machine learning algorithms employed in our previous study.MethodStandard machine learning algorithms were trained to predict conversion to psychosis in clinical high risk individuals on the NAPLS-3 dataset and tested on the NAPLS-2 dataset.ResultsNAPLS-2 and -3 individuals significantly differed on most features used in machine learning models. …”
Get full text

Preliminary development and evaluation of a mechanical handwriting assistive device to support individuals with movement disorders by Gabrielle Lemire, Gabrielle Lemire, Thierry Laliberté, Katia Turcot, Katia Turcot, Véronique H. Flamand, Véronique H. Flamand, Alexandre Campeau-Lecours, Alexandre Campeau-Lecours

“…This paper aims to develop a handwriting assistive device (HAD) for individuals with movement disorders, to stabilize the motion of user's hand, through initial needs assessment, iterative design, and a preliminary evaluation. The research is scoped to include only initial testing with a small user group, six potential users with movement disorders, providing foundational insights for future refinement. …”
Get full text

A sustainable method for analyzing and studying the fractional-order panic spreading caused by the COVID-19 pandemic by Muhammad Farman, Evern Hincal, Parvaiz Ahmad Naik, Ali Hasan, Aceng Sambas, Kottakkaran Sooppy Nisar

“…Unique solution and Picards stability of iterative scheme verified by using the fixed point theory concept. …”
Get full text

Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art Designing by Spoorthi Singh, Navya T. Hegde, Mohammad Zuber, Yuvraj Singh Nain, Vishnu G. Nair

“…The project faced challenges such as material selection, CAD design, and hardware-software interfacing, all of which were addressed through iterative design and validation processes. A convolutional neural network (CNN) was employed to process grayscale images, extracting and reconstructing features using pooling and deconvolution techniques, with the model achieving stable performance over multiple epochs. …”
Get full text

Enhancing heat exchanger design using autoencoder model for predicting efficiency and cost in chemical processing by Manimegalai T, Anitha Gopalan, Vanmathi Murugesan, Jayant Giri, Praveen Barmavatu, Praveenkumar T R, Dinesh Mavaluru, Rafath Samrin

“…Traditional design approaches rely on empirical correlations and iterative simulations, often resulting in suboptimal solutions due to the complex and nonlinear nature of heat transfer phenomena. …”
Get full text

A Readout Scheme for PCM-Based Analog In-Memory Computing With Drift Compensation Through Reference Conductance Tracking by Alessio Antolini, Andrea Lico, Francesco Zavalloni, Eleonora Franchi Scarselli, Antonio Gnudi, Mattia Luigi Torres, Roberto Canegallo, Marco Pasotti

“…Accuracy drop due to circuits mismatch and variability involved in the computational chain are minimized with an optimized iterative program-and-verify algorithm applied to the phase-change memory (PCM) devices. …”
Get full text

Flexible Bus Route Optimization Scheduling Model by Ji-yang Sun, Yan-yan Chen, Jian-ling Huang, Pan-yi Wei, Cheng-cheng Song

“…This model uses the heuristic algorithm based on gravity model to determine the following: passenger booking; vehicle passenger capacity; team known conditions such as size, according to the dynamic changes of passenger demand for real-time iterative update shuttle travel time; vehicle operating costs (vehicle); and time cost for passengers (passengers waiting time for the vehicle, actual time of arrival, and the difference between expected and actual times of arrival) before minimization as the target. …”
Get full text

Maintenance of inflorescence size variability within common buckwheat (<i>Fagopyrum esculentum</i> Moench) cultivars of various origin: the phenomenon and its possible causes by A. N. Fesenko, I. N. Fesenko, O. V. Biryukova

“…The size of inflorescences was assessed as a number of their iterative subunits, i.e., partial floret clusters (PFCs). …”
Get full text