Spatial dynamometering of working tools of agricultural implements by V. I. Myalenko, N. A. Marinov

“…A block diagram of the strain-measuring segments connection with the electronic media provides the definition of the main vector parameters and the principal moment of the external force loading of agricultural machines tools. …”
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Performance of invariants of gravity gradient tensor in matching navigation: A case study in South China Sea by Xiaoyun Wan, Ming Li, Panpan Chen, Faisal Hussain

“…Choosing appropriate background field data is crucial for gravity field matching navigation. Current research mainly uses gravity anomaly data or gravity gradient data as background fields. …”
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Application of big data and artificial intelligence in visual communication art design by Ailing Zhang

“…This essay proposed the STING algorithm for big data for multi-resolution information clustering in VISCOM art. …”
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Ecosystem Services Trade-Offs in the Chaohu Lake Basin Based on Land-Use Scenario Simulations by Aibo Jin, Gachen Zhang, Ping Ma, Xiangrong Wang

“…Using the PLUS model and multi-objective genetic algorithm (MOGA), land-use changes for 2030 were simulated, and their effects on ESs were assessed quantitatively and qualitatively. …”
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The structure of urgent conditions of servicemen of the Armed Forces of Ukraine in modern conditions by M. I. Badiuk, O. O. Mykyta, I. P. Semeniv, M. M. Rygan, V. V. Kosarchuk

“…A list of algorithms and protocols for the provision of medical assistance to servicemen of the Armed Forces of Ukraine under the main emergency conditions in today's conditions is proposed.Conclusions. …”

ANALYSIS OF SOME APPROACHES IN CURRENT PRACTICE OF TRANSPORT MODELLING by E. S. Temnov

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Evaluation of geological engineering factors for productivity of deep CBM well after fracturing based on grey correlation method by KONG Xiangwei,XIE Xin,WANG Cunwu,SHI Xian

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Visualization of Hazardous Substance Emission Zones During a Fire at an Industrial Enterprise Using Cellular Automaton Method by Yuri Matveev, Fares Abu-Abed, Leonid Chernishev, Sergey Zhironkin

“…They are characterized by taking into consideration the rules for filling the dispersion ellipse, as well as determining the effects of interaction with obstacles, which allows for a more accurate mathematical description of the spread of a cloud of toxic combustion products in densely built-up areas. Since the main problems of the cellular automation approach to modeling the dispersion of pollutants are the problems of speed and numerical diffusion, in this article the frontal cellular automation algorithm with a 16-point neighborhood pattern is used, which takes into account the features of the calculation scheme for finding the shortest path. …”
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Artificial Intelligence in Retail: Benefits and Risks Associated With Mobile Shopping Applications by Victoria Stanciu, Sînziana-Maria Rîndașu

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FPGA implementation of normalized correlation function by Krzysztof Mroczek

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LSM tree read-deletion operations optimization through the implementation of cuckoo filters by Humberto Cesar Villalta Valverde, KwangSik Kim, Kisu Kim, Jinman Kwon, Jaechoon Lim, Yongjoo Jun

“…Cuckoo filters are a perfect choice for saving space and also for deleting keys that are not needed in the algorithm so the filters are synchronized with the keys of all the SSTables. …”
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Software Project Scheduling Problem: A Review by Javad Pashaei Barbin, Mahdi Jalali

“…This article reviews SPSP using classical models and artificial intelligence algorithms.</p>…”
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B. D. Karvasarsky and psychotherapy establishment as a distinct discipline, homo faber, to the 90-th anniversary since birth by A. V. Vasileva, T. A. Karavaeva, E. B. Mizinova

“…The article describes the crucial points of this discipline development, presents the main key studies of this mental health field. The Leningrad-Saint-Petersburg psychotherapy school maid a serious impact in the modern Russian neurosology cornerstone issues, that allowed to consider the multidimensional aspects of this pathology. …”
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THE LIMITS OF THE APPLICABILITY OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE ADMINISTRATION OF CRIMINAL JUSTICE by RUDENKO D.A.

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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…Abstract Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective treatment. …”
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An automated adaptive trading system for enhanced performance of emerging market portfolios by Cristiana Tudor, Robert Sova

“…Abstract One of the most notable developments in the asset management industry in recent decades has been the growth of algorithmic trading. At the same time, significant structural changes in the industry have occurred, with passive investing gaining momentum. …”
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Exploring the Impact of Artificial Intelligence on Healthcare Management: A Combined Systematic Review and Machine-Learning Approach by Vito Santamato, Caterina Tricase, Nicola Faccilongo, Massimo Iacoviello, Agostino Marengo

“…The scientific novelty of the study lies in its integrated approach, combining systematic review and predictive algorithms to provide a comprehensive understanding of AI’s role in improving healthcare management across different contexts. …”
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Electroencephalography Artifact Removal using Optimized Radial Basis Function Neural Networks by Shoorangiz Shams Shamsabad Farahani, Mohammad Mahdi Arefi, Amir Hossein Zaeri

“…Given the importance and the need for an automated method to remove artifacts, in this paper some intelligent automated methods are proposed which are composed of three main parts as extraction of effective input, filtering and filter optimization. …”
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Optimal scheduling and energy management of a multi-energy microgrid with electric vehicles incorporating decision making approach and demand response by Genfu Xiao, Huan Liu, Javad Nabatalizadeh

“…The main objective of the research is to minimize operational costs and emissions in the face of uncertain conditions. …”
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A reliable framework for supply chain management using cluster based blockchain for intelligent industrial automation by Eesa Alsolami, Mahmoud Ahmad Al-khasawenh, Ala Abdulsalam Alarood, Ahmed Omar Alzahrani, Ahmed Aalameen Ibraheem, Mazdak Zamani

“…In the modern era of industrial automation, technology entirely depends on intelligent computing algorithms. This paper proposes a reliable framework for supply chain management using cluster-based blockchain technology. …”
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