Research into operation efficiency of single-bucket hydraulic excavators by R. F. Salikhov, V. N. Kuznetsova, I. S. Kuznetsov

“…The dependencies given in normative documents necessary for processing of the obtained data are analyzed. The existing systems of data collection from the on-board computer of single-bucket excavator were analyzed. …”
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Eyes in cheese: reasons for formation and methods of assessment by O. V. Lepilkina, O. N. Lepilkina, I. V. Loginova

“…The least studied is the process of pattern formation in cheeses like Tilsiter and Russian, molded in bulk, with a large number of irregular, angular eyes. …”
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Performance evaluation of deep learning algorithms for channel estimation in OFDM-IM by Omer Adiguzel, Ibrahim Develi

“…In the context of OFDM systems, the placement of pilot symbols within the process of channel estimation demonstrates a degree of flexibility. …”
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Some Aspects of Modern Distance Learning Technologies in the Field of Fire Safety by V. V. Volodchenkova, N. V. Peregudova, D. N. Kurkin, O. V. Chirko

“…The demand for this form of education, the effectiveness of learning the educational material largely depends on the ratio of digital technologies used in the educational process.The purpose of the study is to analyze modern technologies for organizing the educational process of distance learning in the basics of fire safety to improve the quality of educational services and motivate employees of organizations to study in a distance format. …”
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The level model of network interaction primary school students in classroom activities by E. G. Potupchik, L. B. Hegai

“…The article considers the problem of organization and methodological support of the process of formation of skills of network joint activities in primary school students. …”
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Calculation of mass discharge of the Greenland ice sheet in the Earth System Model by O. O. Rybak, E. M. Volodin, A. P. Nevecherya, P. A. Morozova, M. M. Кaminskaya

“…Interaction of ice sheets and climate is driven by energy and mass exchange processes and is complicated by numerous feed-backs. …”
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A COMPREHENSIVE APPROACH TO THE TREATMENT OF PATIENTS WITH ALVEOLAR RIDGE ATROPHY IN PARODONTAL DISEASES: FROM THE USE OF BONE AUGMENTATION TO THE RESTORATION OF FUNCTIONAL OCCLUS... by Yu.O. Kinash, L.V. Kinash, K.V. Honcharov

“…However, the comprised dentition defects are not able to prevent the pathological process in the inflammatory-destructive process and generalized diseases in parodontal tissues, which in the future will affect the choice of prosthetic restoration and patient’s aesthetic appearance. …”
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Rumor detection model with weighted GraphSAGE focusing on node location by Manfu Ma, Cong Zhang, Yong Li, Jiahao Chen, Xuegang Wang

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Zunesha: enhancing throughput of blockchains through relayer-free multi-chain architecture by Pengze Li, Jieyi Long, Qiuyu Ding, Zhen Xiao, Zhenxing Hu, Shengjie Guan

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An Enhanced Approach of Image Steganographic Using Discrete Shearlet Transform and Secret Sharing by Yasir Ahmed Hamza, Nada Elya Tewfiq, Mohammed Qasim Ahmed

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Balancing the Interests of Various Community Groups in Local Government Policy on the Energy Performance of Buildings by Girts Karnitis, Maris Pukis, Janis Bicevskis, Edgars Diebelis, Stanislavs Gendelis, Edvins Karnitis, Ugis Sarma

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Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework by Syed Thouheed Ahmed, T. R. Mahesh, E. Srividhya, V. Vinoth Kumar, Surbhi Bhatia Khan, Abdullah Albuali, Ahlam Almusharraf

“…Abstract Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidable challenge. In this paper, we present a novel methodology for categorizing AIoMT devices through the application of decentralized processing, referred to as "Federated Learning" (FL). …”
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Parameter Adaptive LCD Screen Defect Detection Framework by LIU Wang, SHAO Huili, HE Yongjun, XIE Yining, CHEN Deyun

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Development of an Android Based Home Automation System by Nnamdi Okomba, Adebimpe ESAN, Bolaji OMODUNBI, Adedayo SOBOWALE, Opeyemi ADANIGBO

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Enhancing artificial neural network learning efficiency through Singular value decomposition for solving partial differential equations by Alfi Bella Kurniati, Maharani A. Bakar, Nur Fadhilah Ibrahim, Hanani Farhah Harun

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TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines by Sadam Hussain, Usman Naseem, Mansoor Ali, Daly Betzabeth Avendaño Avalos, Servando Cardona-Huerta, Beatriz Alejandra Bosques Palomo, Jose Gerardo Tamez-Peña

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Recursive feature elimination for summer wheat leaf area index using ensemble algorithm-based modeling: The case of central Highland of Ethiopia by Dereje Biru, Berhan Gessesse, Gebeyehu Abebe

“…The preprocessing stage involved creating 136 independent variables in the GEE, whereas the LAI data were collected from 84 systematically selected samples using the ACCUPAR LP-80 Ceptometer. Further processing included feature combination, min–max normalization, extraction of the 136 independent variables to the LAI data, and data partitioning for training and testing. …”
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Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…Finally, improving livestock production sustainability is particularly important, because a significant part of the projected increases in the global food demand is expected to come from livestock, and artificial intelligence will certainly help producers in decision-making processes, mainly in times of climate change.…”
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NeuroFusion-Trans: A Novel Transformer-Based EEG-EMG Fusion Model for Assistive Robotics by Tipu Sultan, Guangping Liu, Pascal Sikorski, Samah Alshathri, Walid El-Shafai, Madi Babaiasl

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An intercomparison of national and global land use and land cover products for Fiji by Kevin P. Davies, John Duncan, Renata Varea, Diana Ralulu, Solomoni Nagaunavou, Nathan Wales, Eleanor Bruce, Bryan Boruff

“…These data were used to train a random forests model to convert an image stack of pre-processed Sentinel-2 surface reflectance data and topographic spatial layers into an annual categorical LULC map. …”
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