Structural integrity and hybrid ANFIS-PSO modeling of the corrosion rate of ductile irons in different environments by Ukoba K., Akinribide O.J., Adeleke O.

“…The experimental results from this study were used to validate a model generated from hybrid adaptive neuro-fuzzy inferences system-particle swarm optimization (ANFIS-PSO) algorithms. …”
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A Review of Discrete Element Method Applications in Soil–Plant Interactions: Challenges and Opportunities by Yuyuan Tian, Zhiwei Zeng, Yuan Xing

“…Notable advancements include the integration of machine learning algorithms for contact parameter estimation, the use of expanded particle models for dynamic processes, and the development of new techniques for detailed post-processing of DEM simulations. …”
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A numerical framework for enhancing the seismic resilience of urban infrastructure in clayey basins using finite element modeling and AI optimization by Kaveh Dehghanian

“…The study considers the construction’s structural displacement, stress, and failure modes under seismic loading and optimizes retrofitting and soil stabilization strategies using genetic algorithms and particle swarm optimization. The results point toward the effectiveness of retrofitting strategies, including base isolation and shear walls, to limit displacement and damage. …”
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Deep Learning-Based Detection and Identification Method for Sports Health Video Dissemination by Yajun Pang

“…Our method also performs better overall in the same type of algorithms.…”
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Deriving Homing Sequences for Finite State Machines with Timed Guards by Aleksandr Sergeevich Tvardovskii, Nina Vladimirovna Yevtushenko

“…For various kinds of FSMs, such as partial, complete, deterministic, non-deterministic, there exist sufficient and necessary conditions for the existence ofpreset and adaptive HS and algorithms for their derivation. …”
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Informing Disaster Recovery Through Predictive Relocation Modeling by Chao He, Da Hu

“…This study explores the use of machine learning algorithms to improve the prediction of household relocation in the aftermath of disasters. …”
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An Introduction to the Laplace-Sumudu-Elzaki Transformation and Its Applications in Mathematical Physics by Qike Li, Wei Wang

“…We investigate numerical techniques and algorithms for computing LSET, including implementation examples using popular software packages. …”
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A VVC intra coding method based on fast partition for coding unit by ZHONG Hui, LU Yu, YIN Haibing, HUANG Xiaofeng

“…Moreover, the performance of proposed method is superior to other comparative algorithms.…”
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Damage Behaviour of Quasi-Brittle Composites: Mathematical and Computational Aspects by Jiří Vala, Jiří Tomáš

“…The article is devoted to the mathematical aspects regarding a considerably wide class of computational modelling problems, emphasising the following ones: (i) the existence and the uniqueness of solutions of engineering problems formulated in terms of the deterministic initial and boundary value problems of partial differential equations theory; (ii) the problems of convergence of computational algorithms applied to (i). …”
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Non-classical mnemonic actors and new commemorative practices in the network space by I. S. Soldatenko

“…The article concludes about the influence of algorithms of popular platforms on the formation of collective memory. …”
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Sound wave propagation problems new perturbation methodology by Jerzy Skrzypczyk, A. Winkler-Skalna

“…Elements of new types of perturbed ordinary and partial differential equations are discussed. The formulation is applied to the analysis of perturbed wave problems with perturbations in parameters as well as in initial and boundary conditions. …”
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Predicting the Adsorption Efficiency Using Machine Learning Framework on a Carbon-Activated Nanomaterial by Kalapala Prasad, V. Ravi Kumar, R. Suresh Kumar, A. S. Rajesh, Anjani Kumar Rai, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, Amjad Iqbal, Dawit Kefyalew

“…Multicomponent adsorption modelling is difficult because it is challenging to anticipate the relationships among the adsorbates in this artificial intelligence-based modelling, a choice among different algorithms. Utilizing various algorithms, many studies assessed the single and binary adsorption of paracetamol on activated carbon. …”
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A Machine Learning Approach to Analyze Manpower Sleep Disorder by Reza Amiri

“…Moreover, a combination of machine learning and metaheuristic algorithms such as eXtreme Gradient Boosting and particle swarm optimization are used to make an accurate predictive model. …”
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Technical, forensic and organisational aspects of work with Monero cryptocurrency by V. V. Nosov, O. V. Manzhai, V. O. Kovtun

“…The work of this algorithm in the test network Stagenet is modelled. …”
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Achieving Closed-Loop Control Simulation of Human-Artefact Interaction: A Comparative Review by Wilhelm Frederik van der Vegte, Imre Horváth

“…For human decision making, however, validated algorithms exist only to predict the timing but not the reasoning behind it. …”
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Digital signal processing application in nuclear spectroscopy by O. V. Zeynalova, Sh. S. Zeynalov, F.-J. Hambsch, S. Oberstedt

“…Digital signal processing algorithms for nuclear particle spectroscopy are described along with a digital pile-up elimination method applicable to equidistantly sampled detector signals pre-processed by a charge-sensitive preamplifier. …”
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The optimization path of agricultural industry structure and intelligent transformation by deep learning by Xingchen Pan, Jinyu Chen

“…Subsequently, a hybrid optimization method is designed, combining the Genetic Algorithms with particle swarm optimization to improve the model’s global search capability and local convergence speed. …”
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Scattering Optimization of Photonic Cluster: From Minimal to Maximal Reflectance by V. V. Prosentsov

“…The theoretical investigation of such problem is extremely difficult due to multiple interactions between particles in the cluster. In this paper, the optimization of the light scattered by the photonic cluster made of small particles is studied with the help of the special optimization algorithm and the local perturbation method. …”
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Advancements and Optimisation Strategies in Building Integrated Photovoltaic Thermal (BIPVT) Systems by Mon Prakash Upadhyay, Arjun Deo, Ajitanshu Vedratnam

“…The paper covers the current algorithms for various optimisation algorithms such as Genetic Algorithms and Particle Swarm Optimisation that provide enhanced utilization improvements. …”
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Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity by Ke Cheng, Meiying Hou, Wei Sun, Zhihong Qiao, Xiang Li, Tuo Li, Mingcheng Yang

“…This paper offers an exhaustive account of data collection and algorithms used for data processing, ensuring the dependability and precision of the datasets obtained. …”
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