AUV path planning method based on improved sparrow search algorithm by Lijun TANG, Yunxia FAN, Xingyu ZHOU, Qian SUN

“…The improvements in convergence characteristics and the ability to handle complex ocean currents highlight the algorithm's potential for practical applications. …”
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Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics by Nuray Vakitbilir, Amanjyot Singh Sainbhi, Abrar Islam, Alwyn Gomez, Alwyn Gomez, Kevin Yuwa Stein, Logan Froese, Tobias Bergmann, Davis McClarty, Rahul Raj, Frederick Adam Zeiler, Frederick Adam Zeiler, Frederick Adam Zeiler, Frederick Adam Zeiler

“…Cerebral physiological signals embody complex neural, vascular, and metabolic processes that provide valuable insight into the brain’s dynamic nature. …”
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Systematic Review on Algorithmic Trading by David Jukl, Jan Lansky

“…They have become a critical part of modern financial markets because of their efficiency and ability to carry out complex strategies.Objective: This research involves a systematic review that assesses the market impact, technological advancements, strategic approaches and regulatory challenges related to algorithmic trading.Methods: Following PRISMA 2020 guidelines, this study conducts a systematic literature review by screening 1,567 articles across five academic databases, namely IEEE Xplore, ACM Digital Library, SpringerLink, Web of Science and SSRN. …”
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Predicting the uplift capacity of circular anchors in frictional-cohesive soils using Kolmogorov-Arnold networks by Tran Vu-Hoang, Tan Nguyen, Jim Shiau, Hung-Thinh Pham-Tran, Trung Nguyen-Thoi

“…This research is the first to apply KAN in anchor behavior studies, demonstrating its enhanced ability to model complex data relationships compared to artificial neural networks (ANN). …”
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Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting by Winita Sulandari, Yudho Yudhanto, Etik Zukhronah, Isnandar Slamet, Hilman Ferdinandus Pardede, Paulo Canas Rodrigues, Muhammad Hisyam Lee

“…Traditional models like SARIMA and Singular Spectrum Analysis (SSA) have been widely used but often need to capture complex nonlinear patterns and deal with data uncertainties. …”
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Анализ производственно-экономической устойчивости предприятия

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Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise by Pavel Panilov, Tatiana Tsibizova

“…The presented innovative model of the cognitive security center, based on machine learning technologies, represents a significant advancement in effectively managing multifactor threats in defense-industrial complex enterprises. This article provides a detailed examination of key elements of this model, including data analysis, anomaly detection, threat response, classification and optimization, as well as the notification system. …”
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Enhanced Fault Diagnosis in Rotating Machinery Using a Hybrid CWT-LeNet-5-LSTM Model: Performance Across Various Load Conditions by Muhammad Ahsan, Muhammad Waqar Hassan, Jose Rodriguez, Mohamed Abdelrahem

“…The Convolutional Neural Networks (CNN) assists the presented CWT-LeNet-5-LSTM technique in finding the complex characteristics in the data, while LSTM learns the trends in the dataset and performs the necessary analysis of vibrations occurring in faulty machines. …”
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Data-driven price trends prediction of Ethereum: A hybrid machine learning and signal processing approach by Ebenezer Fiifi Emire Atta Mills, Yuexin Liao, Zihui Deng

“…This method stands out from prior research, primarily based on time series analysis, by enhancing pattern recognition across time and frequency domains. …”
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A green synthetic method for cobalt(II,III) oxide nanoparticles with high surface activity by Ya. Absalan, R. Alabada, M. R. Razavi, M. Gholizadeh, O. V. Avramenko, I. N. Bychkova, O. V. Kovalchukova

“…It was shown that due to the polymeric structure of their metal complexes and the ability to bind active carbon on the surface of nanoparticles, natural saccharides can be used as matrices in the synthesis of nanosized metal oxides with high surface activity.…”
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Automated HEART score determination via ChatGPT: Honing a framework for iterative prompt development by Conrad W. Safranek, Thomas Huang, Donald S. Wright, Catherine X. Wright, Vimig Socrates, Rohit B. Sangal, Mark Iscoe, David Chartash, R. Andrew Taylor

“…To assess whether iterative prompt design could improve the LLMs’ ability to extract complex clinical concepts and apply rule‐based logic to translate them to HEART subscores, we monitored diagnostic performance during prompt iteration. …”
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Influence of pelvic floor muscle training alone or as part of a general physical activity program during pregnancy on urinary incontinence, episiotomy and third‐ or fourth‐degree p... by Dingfeng Zhang, Kari Bo, Rocío Montejo, Miguel Sánchez‐Polán, Cristina Silva‐José, Montse Palacio, Rubén Barakat

“…Abstract Introduction The complex process of pregnancy and childbirth significantly influences the well‐being of both mother and child. …”
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Online Direct Infusion Mass Spectrometry of Liquid–Liquid Extraction Phases for Metabolite and Lipid Profiling with the Direct Infusion Probe by Cátia Marques, Lena Blaase, Ingela Lanekoff

“…However, in direct infusion MS, the high chemical complexity of biological samples can introduce limitations in detectability due to matrix effects causing ionization suppression. …”
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How lived experiences of illness trajectories, burdens of treatment, and social inequalities shape service user and caregiver participation in health and social care: a theory-info... by Carl R May, Katja C Gravenhorst, Alyson Hillis, Mick Arber, Carolyn A Chew-Graham, Katie I Gallacher, Frances S Mair, Ellen Nolte, Alison Richardson

“…The next phase of analysis was to perform an Event-State Analysis. Event-State Analyses are intended as precursors to causal network analysis. …”
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Short-circuit fault location method of flexible interconnected distribution network based on waveform similarity by CHEN Jiming, CHEN Wencong, ZHANG Zhihua, YU Xinwei, XU Qian

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Vision transformer embedded video anomaly detection using attention driven recurrence by Ummay Maria Muna, Shanta Biswas, Syed Abu Ammar Muhammad Zarif, Philip Jefferson Deori, Tauseef Tajwar, Swakkhar Shatabda

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Design and Validation of the MANTiS-32 Wireless Monitoring System for Real-Time Performance-Based Structural Assessment by Jaehoon Lee, Geonhyeok Bang, Yujae Lee, Gwanghee Heo

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A review of deep learning-based few sample fault diagnosis method for rotating machinery by Ke WU, Jun WU, Qiming SHU, Weiming SHEN, Wenbin SONG

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Neural models in diagnostics of the financial result of housing and utility enterprises by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…The  neural network  modeling methodology allows you to create models that have  several advantages:  learning ability  (they  adapt  to various  changes);  universality  (able  to solve a wide  range of data analysis and processing tasks);  speed (process various  data  in  parallel  mode);  ease  of use (easy  to operate  after training);  fault  tolerance  (resistant  to local  damage  to the  neural network  structure and external  noise).One of the main  tasks that neural networks  successfully solve is the problem of classification  – the assignment  of the sample  to one or several predefined classes. …”
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Organizational provisions of accounting for inventories as component of information and communication system of enterprise by B.L. Kyryluk

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