Theoretical foundations of processbased management of technological processes in agricultural enterprises by V. I. Zarubin, I. M. Savitskaya, S. V. Gorbanev

“…In this regard, the most important feature of process –based management is its focus on the results. …”
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C-parameter version of robust bounded one-class support vector classification by Junyou Ye, Zhixia Yang, Yongxing Hu, Zheng Zhang

“…The theoretical properties of the proposed method are successively derived, including the relationship between the solutions to the primal and dual problems, the connections between our C-BOCSVC and $$\nu$$ -OCSVC and the computational complexity. …”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…In addition, the Wilcoxon-test of the algorithm verifies the validity of the algorithm, and also applies the algorithm to a high-dimensional feature selection problem, which demonstrates the ability of the proposed algorithm to solve real-world problems.…”
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The silent scream of nurses: a qualitative study by Gülşah Kayserilioğlu, Özlem Ülkü Bulut

“…The anecdotes were analyzed through the "Novel, Story, Epic, Tale, Diary, Memory, Mythology and Analogous Rating Scale". Results. Three sub-problems are discussed in this research. Data related to each sub-problem were collected and analyzed. …”
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Jointly Optimizing Resource Allocation, User Scheduling, and Grouping in SBMA Networks: A PSO Approach by Jianjian Wu, Chanzi Liu, Xindi Wang, Chi-Tsun Cheng, Qingfeng Zhou

“…To tackle this NP-hard problem, we propose an effective algorithm based on Particle Swarm Optimization (PSO), featuring a carefully designed update function tailored specifically for the joint US and UG decisions required in SBMA. …”
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Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints by Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen

“…However, traditional machine learning (ML) models often suffer from local optima and limited generalization ability when dealing with complex nonlinear problems, thereby compromising prediction accuracy and stability. …”
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Point Data Registration With the Multi-Object, Cardinalized Optimal Linear Assignment Metric by Pablo A. Barrios, Vicente Guzman, Martin D. Adams, Claudio A. Perez

“…The Iterative Closest Point (ICP) algorithm and its variants were initially used to solve such problems and since then, various global methods have been proposed to improve registration when data outliers exist. …”
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The Power of Imagery: the Visual Language of the Ukrainian SSR Local Newspapers of the Early 1930s by Mykhailo Kostiv, Tetiana Soproniuk

“…In addition, monumental, complex, and multi-layered illustrations, similar to traditional political posters, were often included in the press issues devoted to the State holidays. Many of them featured the images of a perfect Soviet man or woman, and embodied the greatness of the USSR. …”
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Artificial Intelligence and Li Ion Batteries: Basics and Breakthroughs in Electrolyte Materials Discovery by Haneen Alzamer, Russlan Jaafreh, Jung-Gu Kim, Kotiba Hamad

“…In this study, we outlined the fundamental processes involved in applying AI to this domain, including data processing, feature engineering, model training, testing, and validation. …”
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THE CONCEPT OF «RISK SOCIETY» WITHIN THE CONCEPTUAL APPARATUS OF PUBLIC ADMINISTRATION by Liliia Muntian

“…Consequently, risk has become an integral feature of modern society, leading instability and transforming it into a high-risk society. …”
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STRAIN CONCENTRATION IN APICES OF RADIAL CRACKS IN A THIN COATED PIPE WALL by M. M. Payzulaev, E. L. Rashidova, B. V. Sobol'

“…The method was implemented through the application to the solution of the theoretical elasticity problem for a pipe section (plane deformation) weakened by an internal radial crack. …”
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Computational Brain Imaging Framework for Neurological Mapping and Disorder Classification Using Multimodal Image Processing by S. Karthikeyan, B. Muthu Kumar, M. L. Kiran, K. Srivatsan

“…When it comes to diagnostic accuracy and scalability, traditional methods frequently encounter problems, including data heterogeneity, low resolution, and computational inefficiencies. …”
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Potentialities in Creating the Pedestrian Malls in the Historical City Centers : A Study Case of Mawlawi Street, Sulaimani, Iraqi Kurdistan by Karzan Saleem Ismael, Najmaldin Hussien Mohammed, Hoshyar Qadir Rasul

“…The characteristics of public open spaces in the city center play an important role in attracting people to walk when they attend their daily needs, entertainment and interact with other physical and even nonphysical feature of the built environment. The notion of car-free streets or pedestrian malls, especially in the downtown or the historical city centers has been emerged as a critical challenge faced to whose are responsible for urban managing, besides of urban planner and architects as well. …”
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Innovators’ views on involving users and patients in surgical device development: a qualitative interview study by Maroeska M Rovers, Kas Woudstra, Marcia Tummers, Rob Reuzel

“…The innovators engaged users to analyse problems for which a device could be a solution, define functionalities, make design choices, analyse usability, ensure safety and improve aesthetics. …”
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Calculation of the Capacity for the Operation of a Mini-Energy Complex Based on an Inde-pendently Operating Asynchronous Generator by S. V. Konstantinova, A. Yu. Kapustinskii, T. M. Yaroshevich

“…Based on the calculations carried out and the results obtained with the use of the experimental facility,the operating conditions of the MEC with standard parameters of electricity under varying load have been analyzed. A characteristic feature of the autonomous MEC is the commensurate capacity of the generating device and consumers. …”
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A proximal policy optimization based deep reinforcement learning framework for tracking control of a flexible robotic manipulator by Joshi Kumar V, Vinodh Kumar Elumalai

“…The experimental validation on robotic manipulator system through hardware in loop (HIL) testing substantiates that the proposed framework offers faster convergence and better vibration suppression feature compared to the state-of-the-art policy gradient technique and actor-critic technique.…”
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Enhancing Supply Chain Efficiency Resilience Using Predictive Analytics and Computational Intelligence Techniques by Lixing Bo, Jie Xu

“…PSO is applied to optimize inventory parameters, addressing multi-objective optimization problems in the supply chain. Results from the study indicate significant improvements. …”
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Exploration Enhanced RPSO for Collaborative Multitarget Searching of Robotic Swarms by Jian Yang, Ruilin Xiong, Xinhao Xiang, Yuhui Shi

“…Meanwhile, because of its inspiration source and the velocity update feature, it is also widely used in the collaborative searching tasks for swarm robotics. …”
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The unbreakable chain: the cycle of social inequality – violence, poverty and education by Savaş Varlık, Selahattin Akpınar, Öznur Akpınar, Recep Mehmet Görünü

“…In line with this purpose, this study adopts a qualitative case design and analyses the effects of these problems on individuals in depth. The main feature that distinguishes this research from other research is that this research was created by interviewing experts from all over the world. …”
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ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects by Shouhong Ji, Jie Yan, Yang Liu, Guojun He

“…When improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is employed independently for signal denoising, the noise and feature signals of the transition components are retained or removed. …”
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